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Commitment to MissionThis job carries with it the obligation to uphold the Mission of Lone Star College (LSC) in carrying out the duties of the position. A commitment to positive interpersonal behaviors, professional communication, integrity, leadership, stewardship, respect and accountability to LSC students and employees is essential.Cultural Beliefs<ul><li>One LSC</li><li>Student Focused</li><li>Own It</li><li>Foster Belonging</li><li>Cultivate Community</li><li>Choose Learning</li></ul>The Chronicle of Higher Education's "Great Colleges to Work For®" is designed to recognize colleges that have been successful in creating great workplaces and to further research and understanding of the factors, dynamics and influences that have the most impact on organizational culture at higher education institutions.Lone Star College has been recognized in multiple categories.Campus Marketing StatementLone Star College-CyFairLone Star College offers high-quality, low-cost academic transfer and career training education to 80,000+ students each semester. LSC has been named a 2023 Great Colleges to Work For® institution by the Chronicle of Higher Education. LSC consists of eight colleges, seven centers, eight Workforce Centers of Excellence and Lone Star Corporate College.Located in suburban northwest Houston in the heart of the CyFair Community, the college provides a full range of offerings including unique programs in fire science technology, logistics management and sonography. Since opening our award winning campus in 2003, the college has experienced record growth and supports an exciting learning environment that brings together state-of-the-art technology and active, collaborative learning.Location address is 9191 Barker Cypress Road, Cypress, TX 77433.Job DescriptionPURPOSE AND SCOPE:Tutors and instructs students and community members who need learning assistance in assigned discipline(s) and study skills. Primary responsibilities include providing tutoring and related services, and providing and atmosphere that is conducive to and encourages learning. Responsible for the general areas of student academic support, institutional service, and professional development.ESSENTIAL JOB FUNCTIONS:<ul><li>Effectively delivers tutoring services to students at scheduled times (may be individual or group sessions). Posts and maintains a weekly schedule of available hours for student appointments</li><li>Assists students with the development of study skills necessary for post-secondary education</li><li>Keeps regular and accurate records of tutoring sessions</li><li>Monitors and reviews student work. Modifies and personalizes tutoring strategies to accommodate the different learning styles and needs</li><li>Facilitates the learning process by encouraging students to take responsibility for their progress</li><li>Interacts with LSC staff and/or faculty to obtain any necessary course syllabi or materials, and to develop tutoring materials in support of the course</li><li>Delivers feedback as appropriate to staff and/or faculty regarding student progress</li><li>Continues professional education through research and review of relevant material relating to the assigned subject matter</li><li>May assist with additional duties as needed, for example, covering the Courtesy Counter, answering phones, organizing materials, checking out resources, and performing other duties as assigned</li><li>Completes and submits required documents in an accurate and timely manner</li><li>Actively participates in departmental meetings as required</li><li>Responsible for other reasonable related duties as assigned</li></ul>KNOWLEDGE, SKILLS, AND ABILITIES:<ul><li>Demonstrated proficiency in assigned discipline's subject matter</li><li>Excellent interpersonal and communication skills, both oral and written</li><li>Commitment to quality service to students</li><li>Ability and commitment to work collaboratively</li><li>Ability to work independently with little direct or continuous supervision</li></ul>PHYSICAL ABILITIES:The work is sedentary. Typically, the employee sits comfortably to do the work. However, there may be some walking; standing; bending; carrying of light items, such as papers, books, or small parts; or driving an automobile. No special physical demands are required to perform the work.WORK SCHEDULE AND CONDITIONS: <ul><li>Equipment used includes, PC workstation running on a LAN in a Microsoft Windows environment, calculator, phone and other general office equipment</li><li>Interface with internal and external contacts as needed to carry out the functions of the position</li><li>Work is performed in a climate-controlled office with minimal exposure to safety hazards</li></ul>REQUIRED QUALIFICATIONS:<ul><li>High School diploma or GED equivalent</li><li>Transcripts and/or a proficiency test may be required</li></ul>SalaryHourly Pay Rate is $15.60 to $28.90 dependent upon education and CRLA certification levels.Benefits Marketing StatementBy joining our top-notch institution, you will enjoy being a part of an organization that offers a supportive, collegial work environment, excellent work/life balance, tuition waiver, participation in a tax deferred retirement plan and more.Special InstructionsGo to the Job Search page, click on ‘My Activities’ at the top of the page. Under My Cover Letters and Attachments you will click on ‘Add Attachment.’ Please be sure to put the Job ID# in the title once you name your file for cover letters only, unless you attached your cover letter with your resume.If you are applying for an Instructional position (i.e. Faculty, Adjunct Faculty, Instructor), please ensure you include the following to be considered: Resume/CV, Cover Letter, Teaching Philosophy, and unofficial transcripts. You must limit your file name for any attachment to 40 characters or less.How to ApplyALL APPLICANTS MUST APPLY ONLINE ONLYWe will not accept application material received via fax, email, mail, or hand delivered.Postings for part-time and adjunct positions are active for the academic year. By selecting the option to receive notifications on your profile, you will begin receiving electronic communication regarding new opportunities with Lone Star College (LSC).If selected for an interview, a recruiter will contact you by phone, or email to schedule an interview.Lone Star College participates in the E-Verify program, under which Lone Star College provides the federal government with information from each new employee's Form I-9 to confirm that the employee is authorized to work in the United States.More information on the E-Verify program is available at <a href="http://www.dhs.gov/E-Verify" target="_blank">www.dhs.gov/E-Verify</a>.Lone Star College is an EEO Employer. All positions are subject to a criminal background check.

Part-Time Tutor, Science-All Levels

Job Title Chair, Department of Behavioral Science Requisition Number FE04769 Working Title Department Name 7H150:BEHAVIORAL SCIENCE Work Location Lexington, KY Type of Position Faculty Position Time Status Full-Time Tenure Track Status Tenure Track Required Education PhD, DO, MD/PhD, or equivalent Required Related Experience <ul><li>Terminal degree in a behavioral science field (e.g., psychology, behavioral science, social science, health behavior, sociology, etc.) with a sustained record of scholarly activity and current research funding.</li><li>National recognition as demonstrated through involvement in academic/professional societies at a national level.</li><li>Demonstrated leadership experience, with preference for previous experience in administrative positions in an academic medical center setting.</li><li>Proven record of recruitment, mentorship, and retention of talent.</li><li>Demonstrated track record of teaching undergraduate and medical students, as well as research training for graduate students and postdoctoral fellows.</li></ul> Required License/Registration/Certification Job Summary THE OPPORTUNITY The University of Kentucky College of Medicine Department of Behavioral Science seeks a visionary chair with demonstrated leadership abilities, a strong record in academic behavioral medicine, and a currently funded research program, ideally with a strong history of National Institutes of Health (NIH)-funding. The ideal candidate has administrative experience, and can provide strong leadership skills as a listener, decision-maker, humanist, and effective advocate for the discipline, and its faculty and staff. SCOPE OF ROLE As an oversight position, the chair of science will ensure that department faculty work in conjunction with one another and with other groups across the college and campus, sharing research resources whenever possible. This will also include administrative, teaching, laboratory, and mentoring support. The chair will work closely to maximize the net yield of each project and avoid separation or duplication of work in multiple isolated units. SPECIFIC RESPONSIBILITIES: <ul><li>Grow the department’s research faculty and research portfolio, and provide oversight.</li><li>Facilitate faculty mentoring in research.</li><li>Facilitate an environment of collaborative research and conduct, including maintaining records of accomplishments and facilitating the acquisition of external funding.</li><li>Continue their independent research in alignment with the department’s goals.</li><li>Publish in peer-reviewed literature as an author and co-author.</li><li>Provide oversight for the department’s educational portfolio.</li><li>Participate in and advocate for quality teaching programs for all learners within the department.</li><li>Assign faculty to teaching roles and manage the distribution of educational assignments among faculty.</li><li>Mentor faculty in various professorial series and oversee the academic development and productivity of the department.</li></ul> For full details and consideration for this position, click here: Behavioral Science Chair Prospectus for the full job prospectus. The College of Medicine seeks qualified applicants who value its missions and share its commitment to building a strong community. Interested applicants should apply through the job posting: <a href="https://ukjobs.uky.edu/postings/611204" target="_blank">https://ukjobs.uky.edu/postings/611204</a>. Please include curriculum vita and cover letter when prompted in the application process. Questions and inquiries can be directed to Rebecca Dutch, PhD, vice chair for research, co-chair of the search committee at <a href="mailto:Rebecca.Dutch@uky.edu" target="_blank">Rebecca.Dutch@uky.edu</a> Matthew Bush, MD, chair of otolaryngology – head and neck surgery, co-chair of the search committee at <a href="mailto:Matthew.Bush@uky.edu" target="_blank">Matthew.Bush@uky.edu</a> This posting will remain open until filled. Applications will be reviewed as received. All applications will be handled in a secure, sensitive, and confidential manner. Skills / Knowledge / Abilities Ideal Candidate Experience and Attributes <ul><li>A strong visionary and inspirational leader who can artfully convey a long-term vision for the department yet is equally skilled at implementing a detailed plan to achieve that vision. Highly approachable and compassionate; a record of promoting a culture of innovation, collaboration, teamwork, respect, and honesty; a professional and personal demeanor characterized by integrity, graciousness, humility, genuineness, empathy, and sincerity; and a passion for the organization’s mission and objectives.</li><li>Exceptionally team-oriented; skilled at working well and partnering with scientists across the college and University to identify, build, and negotiate “win-win” relationships and collaborations; able to break down silos and ensure a collegial and productive work environment.</li><li>Highly adept and at ease managing the day-to-day operational details with the ability to make strong and decisive decisions when needed, while simultaneously creating unity within the department.</li><li>Able to conceptualize and analyze complex business opportunities, understand an academic department’s finances, and apply that knowledge to manage all department aspects appropriately.</li><li>Able to lead progress in the department’s mission, strategies, and practices to build a more supportive workplace.</li></ul> Does this position have supervisory responsibilities? Yes Preferred Education/Experience Deadline to Apply Open Until Filled Yes Our University Community We value the well-being of each of our employees and are dedicated to creating a healthy place for everyone to work, learn and live. In the interest of maintaining a safe and healthy environment for our students, employees, patients and visitors, the University of Kentucky is a Tobacco &amp; Drug Free campus. The University follows both the federal and state Constitutions as well as all applicable federal and state laws on nondiscrimination. The University provides equal opportunities for qualified persons in all aspects of institutional operations and does not discriminate on the basis of race, color, national origin, ethnic origin, religion, creed, age, physical or mental disability, veteran status, uniformed service, political belief, sex, sexual orientation, gender identity, gender expression, pregnancy, marital status, genetic information or social or economic status. Any candidate offered a position may be required to pass pre-employment screenings as mandated by University of Kentucky Human Resources. These screenings may include a national background check and/or drug screen.

Chair, Department of Behavioral Science

Job Title Student - Science &amp; Math Tutor Requisition Number SE04319 Department Name 3J5SE: Student Employment Work Location Lexington, KY On Campus/Off Campus Off Campus Salary Range $16-$19 Type of Position Student Position Time Status Part-Time Preferred Education/Experience Chemistry, physics, English, SAT/ACT prep, Spanish and ability to work with younger (elementary and middle school) students. Hours per Week 6-16 Job Summary You must be a current UK student to apply for this position. This position is located off campus with a local Lexington employer and is not affiliated with UK. Tutoring Club is looking for dynamic tutors to work primarily with high school and middle school students on calculus, algebra, chemistry and more. Skills / Knowledge / Abilities Good working knowledge of high school level math courses. Ability to clearly communicate math and science concepts to students. Enjoyable personality. Deadline to Apply 01/30/2026 Our University Community We value the well-being of each of our employees and are dedicated to creating a healthy place for everyone to work, learn and live. In the interest of maintaining a safe and healthy environment for our students, employees, patients and visitors, the University of Kentucky is a Tobacco &amp; Drug Free campus. The University follows both the federal and state Constitutions as well as all applicable federal and state laws on nondiscrimination. The University provides equal opportunities for qualified persons in all aspects of institutional operations and does not discriminate on the basis of race, color, national origin, ethnic origin, religion, creed, age, physical or mental disability, veteran status, uniformed service, political belief, sex, sexual orientation, gender identity, gender expression, pregnancy, marital status, genetic information or social or economic status. Any candidate offered a position may be required to pass pre-employment screenings as mandated by University of Kentucky Human Resources. These screenings may include a national background check and/or drug screen. Anticipated Start Date 01/19/2026

Student - Science & Math Tutor

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.About the TeamThe Analytics, Investments and Marketing Enablement (AIM) team—within Global Commercial Services Marketing (GCSM)—is the analytics engine powering Commercial customer acquisition, engagement, and retention. AIM develops insights, data products, and analytical solutions that shape smarter marketing and powerful digital experiences.This Senior Manager role sits within Corporate Digital Acquisition Analytics, supporting the strategy, development, and optimization of personalized digital experiences for Commercial&nbsp;corporate&nbsp;prospects across&nbsp;Digital channels using data, advanced analytics, and emerging AI.How will you make an impact in this role?As a Senior Manager, you will lead analytical work that fuels the next generation of AMEX’s Corporate digital acquisition engine. You will design and implement data-driven strategies, build scalable analytical solutions, and collaborate across business, digital, and technology teams to optimize targeting, personalization, and prospect conversion.This role is ideal for someone who is passionate about digital marketing analytics, enthusiastic about emerging AI and GenAI capabilities, and eager to help shape how AMEX engages Commercial Corporate prospects in a dynamic and competitive digital landscape.Key Responsibilities:<ul><li>Develop analytical solutions and data products that improve targeting accuracy, personalization, and digital acquisition performance across the AMEX website.</li></ul><ul><li>Own end-to-end analyses focused on audience segmentation, experimentation, funnel optimization, and identification of acquisition opportunities.</li></ul><ul><li>Build and enhance models and decisioning strategies, leveraging AMEX’s vast first-party data and evolving digital intelligence capabilities.</li></ul><ul><li>Apply emerging AI and GenAI techniques, such as&nbsp;intelligent customer journey optimization,&nbsp;semantic&nbsp;modeling&nbsp;and&nbsp;automated insights&nbsp;to enhance targeting precision and analytical productivity.</li></ul><ul><li>Drive experimentation, performance measurement and Investment&nbsp;optimization - designing test structures, evaluating results, and making actionable recommendations to improve conversion and efficiency.</li></ul><ul><li>Collaborate closely with cross-functional partnersacross American Express to ensure implementation of analytical solutions and ensure business impact.</li></ul><ul><li>Synthesize insights and clearly communicate findings and strategy implications to leaders and stakeholders across the organization.</li></ul><ul><li>Champion innovation and continuous improvement, bringing forward&nbsp;new ideas&nbsp;in digital analytics, advanced modeling techniques,&nbsp;Gen&nbsp;AI&nbsp;use-cases&nbsp;and scalable data automation that future-proof AMEX’s digital acquisition engine.</li></ul>Minimum Qualifications<ul><li>Strong analytical and problem-solving skills with experience working through complex, ambiguous business questions.</li></ul><ul><li>Experience with building ML models like XGBoost, K-Means, etc with proficiency in analytical tools such as SQL, Python, or similar; knowledge of digital analytics or experimentation frameworks is a plus.</li></ul><ul><li>Ability to translate data into insights and clearly communicate recommendations to business partners.</li></ul><ul><li>Experience collaborating within cross-functional teams and influencing decisions through data-driven insights.</li></ul><ul><li>Demonstrated ability to manage multiple priorities in a fast-paced, dynamic environment.</li></ul>Preferred Qualifications<ul><li>Experience in digital marketing analytics, personalization, website optimization, or acquisition strategy.</li><li>Master's degree in quantitive field (e.g., Engineering, Mathematics, Finance, Computer Science, Statistics, Economics).</li></ul><ul><li>Familiarity with digital ecosystem tools such as clickstream analytics platforms, identity frameworks, or real-time recommender systems.</li></ul><ul><li>Familiarity and interest in applying emerging AI and Gen AI capabilities to improve digital targeting outcomes.</li></ul><ul><li>Experience designing and analyzing A/B tests, optimizing digital funnels, or improving performance through data-driven experimentation.</li></ul><ul><li>Strong communication skills with the ability to influence partners and drive action.</li></ul>Salary Range: $123,000.00 to $215,250.00 annually + bonus + benefitsThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: <a href="https://www.eeoc.gov/poster" target="_blank">https://www.eeoc.gov/poster</a>Depending on factors such as business unit requirements, the nature of the postion, cost and applicable laws, American Express may provide visa sponsership for certain postions.

American Express

Senior Manager - Data Science

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.Role OverviewThe Analytics, Investment &amp; Marketing Enablement (AIM) team within the GCS Marketing Organization is the analytical powerhouse enabling profitable growth for the Global Commercial Services business. As AMEX advances its GenAI strategy, this role focuses on modernizing retention and save-a-card analytics by embedding Generative AI, LLM-powered decision making, intelligent automation, and advanced predictive modeling across SME customer journeys.This B35 role—based out of New York—will be responsible for leveraging GenAI to transform proactive retention strategies, accelerate insights, enhance personalization, and improve sales and marketing effectiveness across Digital, Field, and Phone channels. This position represents a unique opportunity to drive $2Bn+ charge volume impact while shaping the next generation of AI-native retention ecosystems.Key Responsibilities<ul><li>Drive GenAI-enabled retention strategy using LLMs and advanced ML to detect churn signals and design targeted interventions.</li><li>Build and enhance predictive and generative AI models, integrating new precursors, embeddings, and customer-level signals into existing frameworks.</li><li>Collaborate with Marketing, Risk, and Sales to design AI-generated personalized treatments and optimized message variations.</li><li>Develop GenAI-enabled automated reporting and insights for Digital, Field, and Phone programs to support test-and-learn velocity.</li><li>Create AI-driven triggers, prioritization tiers, and intelligent workflows for Field and Phone Sales channels.</li><li>Partner with senior leaders and functional teams to drive GenAI adoption and influence strategic direction across GCS.</li><li>Drive automation, scalability, and continuous improvement of analytical systems using GenAI-based tools.</li><li>Mentor team members to build GenAI capabilities and deliver high-impact analytical solutions.</li></ul>Minimum Qualifications<ul><li>MBA or Master’s in a quantitative field.</li><li>3+ years of analytics, data science &amp; Gen-AI experience.</li><li>Experience with LLMs, prompt engineering, RAG pipelines, vector databases, and GenAI deployment.</li><li>Experience using statistical techniques (hypothesis testing, regression, KNN, chi-square).</li><li>Strong programming skills (Python, SQL, PySpark) and familiarity with GenAI platforms (OpenAI, Vertex AI, Azure OpenAI).</li><li>Ability to work across matrix teams and communicate complex AI-driven insights effectively.</li></ul>Preferred Qualifications<ul><li>Experience with commercial data, customer lifecycle analytics, and retention strategy.</li></ul>Salary Range: $103,750.00 to $174,750.00 annually + bonus + benefitsThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: <a href="https://www.eeoc.gov/poster" target="_blank">https://www.eeoc.gov/poster</a>Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

Manager - Data Science

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.Role OverviewThe Analytics, Investment &amp; Marketing Enablement (AIM) team within the GCS Marketing Organization is the analytical powerhouse enabling profitable growth for the Global Commercial Services business. As AMEX advances its GenAI strategy, this role focuses on uplifting customer targeting &amp; personalization solutions in Flywheel ecosystem by embedding Generative AI, LLM-powered decision making, intelligent automation, and advanced predictive modeling across SME customer journeys.This B35 role—based out of New York—will be responsible for leveraging GenAI to transform customer targeting strategies, accelerate insights, enhance personalization, and improve marketing effectiveness.Key Responsibilities<ul><li>Work closely with functional analytics teams to enhance targeting across card and beyond-card ecosystems using GenAI-driven solutions.</li><li>Understand current model usage landscape and partner with Adobe product and tech teams to integrate targeting models powered by Gen AI into the Flywheel ecosystem.</li><li>Shape the Flywheel roadmap through daily collaboration with marketing, product, analytics, modelling, and other cross-functional teams.</li><li>Ensure targeting objectives remain strong and protected as capabilities transition into the Flywheel environment.</li><li>Partner across Business Units to align teams, streamline decision-making, and drive unified execution.</li><li>Keep LT informed and aligned on key decisions, dependencies, and directional shifts to ensure transparency and governance.</li><li>Embed GenAI capabilities across workflows to elevate targeting precision, automation, and personalization at scale.</li><li>Mentor and guide team members to build GenAI-centric analytical capabilities and accelerate delivery of high-impact solutions.</li></ul>Minimum Qualifications<ul><li>MBA or Master’s in a quantitative field.</li><li>3+ years of analytics, data science &amp; Gen-AI experience.</li><li>Experience with LLMs, prompt engineering, RAG pipelines, vector databases, and GenAI deployment.</li><li>Experience using statistical techniques (hypothesis testing, regression, KNN, chi-square).</li><li>Strong programming skills (Python, SQL, PySpark) and familiarity with GenAI platforms (OpenAI, Vertex AI, Azure OpenAI).</li><li>Ability to work across matrix teams and communicate complex AI-driven insights effectively.</li></ul>Preferred Qualifications<ul><li>Experience with commercial data, customer lifecycle analytics.</li></ul>Salary Range: $103,750.00 to $174,750.00 annually + bonus + benefitsThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: <a href="https://www.eeoc.gov/poster" target="_blank">https://www.eeoc.gov/poster</a>Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.Business Unit/Role Specific InformationThe Credit and Fraud Risk (CFR) team at American Express employs 3,500 global professionals focused on managing credit, fraud, and banking risk, optimizing risk trade-offs while delivering exceptional customer experiences. CFR’s work spans the entire customer lifecycle, supporting core processes like credit underwriting, fraud detection, servicing, and product development while also maintaining regulatory compliance and operational integrity. CFR leverages advanced analytics, data science, and AI/ML techniques to drive risk modeling, personalize decisions, and enhance customer experiences.The Data Science Intern will support the development of predictive models used across credit, fraud, and marketing to inform key business decisions. They apply statistical techniques and machine learning to real-world datasets, contributing to innovation in areas like customer personalization, risk management, and regulatory compliance.How will you make an impact in this role?<ul><li>Query and manipulate large datasets using tools like SQL, Hive, and Python.</li><li>Build and test predictive models using machine learning techniques (e.g., logistic regression, decision trees, clustering).</li><li>Document modeling choices and provides rationale for algorithm selection.</li><li>Translate business goals into technical requirements and analytical questions.</li><li>Develop a clear and structured final presentation that communicates the project’s purpose, methods, insights, and business impact.</li><li>Analyze current decisioning models, develop and implement a plan to improve model prediction accuracy.</li><li>Improve automation of customer connects via a GenAI enabled chatbot tool.</li><li>Use deep learning to uncover hidden trends in fraud and credit bust-out.</li><li>Programming (Python or R) – Writing scripts for data analysis, modeling, and automation.</li></ul>Minimum Qualifications:<ul><li>Currently enrolled in a full-time Masters degree program</li><li>Master's degree candidates with an expected graduation date between December 2026 and June 2027</li><li>Effective team player with interpersonal skills; capable of working autonomously or collaboratively in cross-functional teams.</li><li>Proficiency in the following skills:<ul><li>Programming (Python or R) for data analysis, modeling, and automation;</li><li>SQL/Hive – Querying large-scale datasets efficiently.</li><li>AI Techniques – Experimenting with modern AI methods, including neural networks and natural language processing.</li><li>Machine Learning Hands-on experience in machine learning algorithm development or application</li><li>Statistical Analysis – Interpreting data using descriptive and inferential statistics.</li><li>Cloud &amp; Big Data Tools – Basic experience with cloud platforms and distributed data systems.</li><li>Strategic mindset, that connects work to broader strategy and suggest ideas to enhance scalability and impact</li></ul></li></ul>Preferred Qualifications<ul><li>Graduate students enrolled in one of the areas below areas or related fields:<ul><li>Computer Science</li><li>Statistics</li><li>Data Science</li><li>Mathematics</li><li>Artificial Intelligence</li></ul></li><li>Prior experience, taking initiative to establish or lead an on-campus student organization</li><li>Proven deep analytical skills with the ability to design new decisioning models or develop innovative tools</li><li>Skilled in delivering presentation to wide-ranging audience</li></ul>Salary Range: $24.05 to $63.00 hourly + sign-on bonusThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positionsWe back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:<ul><li>Competitive base salaries</li><li>Flexible work arrangements and schedules with hybrid and virtual options with Amex Flex</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)</li><li>Free and confidential counselling support through our Healthy Minds program</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: <a href="https://www.eeoc.gov/poster" target="_blank">https://www.eeoc.gov/poster</a>

Campus Graduate I Summer Internship Program - 2026 Global Decision Science, Credit & Fraud Risk - New York, NY

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.About the role<ul><li>The AIM (Analytics, Investment &amp; Marketing Enablement) team – a part of GCS Marketing – is the analytical engine that enables the Global Commercial Services portfolio of American Express. Accelerating growth momentum, increasing profitability, and strengthening our value proposition are key objectives for this organization.</li><li>This Manager (Band 35) role will join the Prospect cross-functional team within AIM and will develop analytical solutions that enhance targeting, acquisition, engagement, and prospecting effectiveness across commercial channels. The role involves working across a diverse analytical toolkit—including advanced machine learning, predictive modeling, optimization, and Generative AI—to build solutions that improve decisioning and drive measurable business impact. The individual will act as a solution owner, accountable for problem framing, model development, deployment readiness, and ongoing performance monitoring.</li><li>The ideal candidate will translate business questions into well-structured analytical approaches, deliver high-quality insights, and influence strategic decision-making through clear communication and strong cross-functional alignment. Operating in a highly collaborative environment, the role ensures that analytical solutions and Generative AI solutions are designed responsibly and adhere to Amex standards for data integrity and model governance.</li></ul>Key responsibilities<ul><li>Translate complex business questions into structured analytical and decision-intelligence frameworks, identifying the right mix of statistical techniques, machine learning, and Generative AI approaches (e.g., LLMs, RAG pipelines, embeddings/vector search, prompt automation, fine-tuning) to deliver high-impact solutions.</li><li>Design, build, and enhance advanced analytical models and GenAI-enabled data products—including predictive modeling, customer/prospect scoring, matching, prioritization, and enrichment capabilities—to strengthen targeting and acquisition strategies.</li><li>Develop scalable AI/ML and Generative AI solutions (including, but not limited to, NLP- and LLM-based workflows) that drive improvements in prospect identification, routing, personalization and engagement effectiveness across commercial channels with a focus on production deployment, standardization, cost efficiency, and reuse across multiple use cases.</li><li>Design and operationalize a variety of Generative AI architectures, including Retrieval-Augmented Generation (RAG), embedding and vector-search pipelines, fine-tuning and custom model adaptation approaches, prompt-only and hybrid pipelines, tool or agent-integrated systems, and knowledge-augmented LLM solutions, selecting the appropriate architecture based on accuracy, latency, cost, scalability, and governance considerations</li><li>Apply strong quantitative judgment and technical rigor to evaluate data quality, refine features, enhance models, and ensure analytical methods and pipelines are robust, efficient, and aligned with best practices.</li><li>Influence and align cross-functional partners by collaborating with product, engineering, and business stakeholders to define Gen AI and analytical use cases, integrate analytical solutions into workflows, and enable effective adoption.</li><li>Establish and own experimentation, evaluation, and continuous-improvement frameworks for analytical and GenAI solutions, incorporating offline testing, controlled experimentation, human-in-the-loop feedback, performance drift monitoring, and iterative refinement aligned with business and risk objectives.</li><li>Own the performance narrative of analytical and GenAI solutions by defining success metrics, monitoring outcomes, interpreting model behavior, and clearly communicating trade-offs, limitations, and impact to senior stakeholders, including VP-level leaders.</li><li>Ensure all analytical and Gen AI solutions are designed and deployed in accordance with Responsible AI principles, including model governance, explain ability, bias assessment, data integrity, and regulatory compliance expectations.</li></ul>Qualifications<ul><li>Bachelor's degree in quantitative discipline such as Engineering, Mathematics, Computer Science, Physics, Finance, or Economics.</li><li>5+ years of experience in data science, advanced analytics, machine learning, decision science, or related quantitative roles</li><li>Strong programming skills in Python and SQL, with hands-on experience developing machine-learning and GenAI/NLP models end-to-end.</li><li>Demonstrable expertise in prompt engineering at scale, including prompt automation, versioning, systematic prompt optimization, and practical fine-tuning strategies to improve LLM reliability, consistency, and task performance.</li><li>Experience working with large-scale or distributed data environments, with the ability to build scalable analytical and GenAI workflows.</li><li>Hands-on experience with industry-standard Generative AI frameworks and tooling, including orchestration frameworks, vector databases, model hosting and inference platforms, and automated evaluation pipelines used to build, test, and operationalize LLM-based systems.</li><li>Strong analytical and conceptual problem-solving capability, with a demonstrated ability to translate business needs into structured analytical plans and GenAI/ML solution approaches.</li><li>Experience designing GenAI solutions with consideration for enterprise platform constraints, including cost efficiency, latency, scalability, and reliability.</li><li>Demonstrated ability to remain deeply hands-on in complex Generative AI and ML implementations, personally contributing to the development and iteration of core technical components such as pipelines, retrieval layers, prompt suites, and evaluation frameworks.</li><li>Excellent executive communication and interpersonal skills, with the ability to build strong working relationships and deliver clear, compelling insights to senior leaders.</li><li>Proven ability to operate as a senior individual contributor, driving solution design, analytical execution, and cross-functional alignment independently within a matrixed environment.</li><li>Understanding of responsible AI, data integrity, and model governance and Gen AI risk management principles (e.g., explain ability, bias/fairness, monitoring, audit readiness) is preferred.</li></ul>Salary Range: $103,750.00 to $174,750.00 annually + bonus + benefitsThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: <a href="https://www.eeoc.gov/poster" target="_blank">https://www.eeoc.gov/poster</a>Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. About the Team The Analytics, Investments and Marketing Enablement (AIM) team—part of Global Commercial Services Marketing (GCSM)—is the analytics engine that fuels acquisition, engagement, and retention across our Commercial business. AIM develops the data products, insights, and decisioning solutions that enable smarter marketing, more relevant customer experiences, and scalable enterprise growth. This Director role sits within AIM and will lead Digital Acquisition Analytics for Corporate products, shaping how American Express uses data, advanced analytics, and emerging AI to transform our digital experience.&nbsp; How will you make an impact in this role? As the Director of Corporate Digital Acquisition Analytics, you will lead the strategy and development of best-in-class analytics and AI solutions that personalize digital experiences for Commercial corporate prospects across Digital channels including American Express website, Paid &amp; Organic Search, Display Media etc. You will guide a team building solutions that leverage AMEX’s rich first-party data, dynamic intelligence, and the evolving AI &amp; Gen AI capabilities. This is a high-visibility leadership role that blends technical depth, innovation, and cross-functional influence, partnering closely with teams across Global Commercial Services, Enterprise Digital and external MarTech partners.&nbsp; Key responsibilities include:<ul><li>Lead the vision and roadmap for Corporate digital acquisition analytics, designing advanced targeting and personalization solutions that deliver relevant, high-impact experiences for Commercial prospects.&nbsp;</li></ul><ul><li>Develop modern data and ML-powered products, including identity resolution, propensity and targeting models, dynamic creative and incentive decisioning, and next-generation personalization capabilities.&nbsp;</li></ul><ul><li>Explore and integrate emerging AI and GenAI techniques - such as intelligent customer journey optimization, semantic modeling and automated insights to enhance targeting precision and analytical productivity.&nbsp;</li></ul><ul><li>Manage and mentor a high-performing team of managers and data scientists responsible for end-to-end targeting strategies and analytical solutions.&nbsp;</li></ul><ul><li>Drive expertise in audience segmentation, experimentation, custom targeting and Investment optimization leveraging both AMEX and partner data assets to scale personalized acquisition strategies.&nbsp;</li></ul><ul><li>Optimize funnel performance through data-driven experimentation, personalization of acquisition incentives, and continuous optimization of digital targeting strategies.&nbsp;</li></ul><ul><li>Cultivate strong cross-functional partnerships across American Express to ensure strategic alignment, prioritization, and seamless execution of targeting initiatives.&nbsp;</li></ul><ul><li>Champion innovation, bringing forward new ideas in digital analytics, advanced modeling techniques, Gen AI use-cases and scalable data automation that future-proof AMEX’s digital acquisition engine.&nbsp;</li></ul>Minimum Qualifications<ul><li>Master’s Degree in a quantitative field (e.g., Finance, Engineering, Mathematics, Computer Science, Physics, Economics).&nbsp;</li></ul><ul><li>Strong analytical and conceptual problem-solving ability with experience structuring and solving complex, ambiguous business challenges.&nbsp;</li></ul><ul><li>Demonstrated ability to synthesize insights and influence senior stakeholders through clear, compelling storytelling.&nbsp;</li></ul><ul><li>Proven leadership capability with a track record of developing talent, driving engagement, and fostering a collaborative, innovative team culture.&nbsp;</li></ul><ul><li>Ability to work effectively across cross-functional organizations and guide high-impact initiatives from concept to implementation.&nbsp;</li></ul>Preferred Qualifications<ul><li>Experience leading analytics or data science teams working on digital marketing, personalization, experimentation, or acquisition optimization.&nbsp;</li></ul><ul><li>Strong understanding of the digital marketing ecosystem, including clickstream analytics, identity frameworks, data management platforms, and real-time decisioning systems.&nbsp;</li></ul><ul><li>Familiarity with modern ML or GenAI techniques—such as advanced segmentation, uplift modeling, or LLM-assisted analytics—and interest in applying emerging AI capabilities to improve digital targeting outcomes.&nbsp;</li></ul><ul><li>Demonstrated success in managing complex analytical or technical projects, balancing strategy with execution while cultivating strong partnerships across business and technology teams.&nbsp;</li></ul>Salary Range: $144,250.00 to $256,250.00 annually + bonus + equity (if applicable) + benefitsThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:<ul><li>Competitive base salaries&nbsp;</li><li>Bonus incentives&nbsp;</li><li>6% Company Match on retirement savings plan&nbsp;</li><li>Free financial coaching and financial well-being support&nbsp;</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;</li><li>Free and confidential counseling support through our Healthy Minds program&nbsp;</li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site.American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: <a href="https://www.eeoc.gov/poster" target="_blank">https://www.eeoc.gov/poster</a>Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsership for certain positions.

Director-Data Science

Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.Why join the Wyss Institute at Harvard University?The Wyss Institute’s mission is to transform healthcare and the environment by emulating the way nature builds. We harness the imagination of academia and the focus of industry to translate ground-breaking technologies into commercial products that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky.&nbsp; We prefer to use the word “challenging,” and we love challenges. For more information&nbsp;<a href="https://wyss.harvard.edu/technologies/" target="_blank">discover our technologies</a>,&nbsp;<a href="https://wyss.harvard.edu/news/" target="_blank">catch up on our recent news</a>, <a href="https://wyss.harvard.edu/multimedia/" target="_blank">or watch our latest videos</a>. Job Description About You:&nbsp;You are a visionary, strategically minded scientific leader with deep expertise in translational science, therapeutic or diagnostic development, molecular or cellular biology. You thrive in interdisciplinary environments and excel at driving programs from concept to preclinical readiness while shaping strategic direction. You enjoy partnering with research and colleagues to integrate wet-lab insights with advanced analytical methods. You are impact-driven and energized by transforming innovative technologies into real-world solutions.&nbsp;About the Role:&nbsp;&nbsp;As Principal Scientist you will provide scientific, operational and translational leadership across multiple Artzi-lab initiatives, overseeing multi-disciplinary teams, guiding experimental and technology de-risking for therapeutic and diagnostic innovations. You will also conduct experiments and studies as needed to support ongoing research in the Artzi lab. Reporting to the Senior Director, Translational R&amp;D, and in coordination with Professor Artzi, you will oversee cross-functional teams, mentor scientific staff and collaborate with clinical, industry, and intellectual property partners to accelerate translation while ensuring operational excellence and strategic alignment with the Wyss Institute. &nbsp;&nbsp;What You'll Do:&nbsp;Natalie Artzi Lab Oversight:<ul><li>Directs multiple projects that includes both academic and staff employees, industry sponsors, industry co-development partners, state and federal funding and academic collaborations.</li><li>Guide assay development, molecular or cellular characterization, in vivo studies, and data interpretation to demonstrate feasibility and accelerate technology maturation.</li><li>Drive translational de-risking by shaping key studies, identifying scientific opportunities, and aligning research efforts with program goals.</li><li>Collaborate with internal and external partners on experimental execution, analytical characterization, and cross-functional scientific strategy.</li><li>Partner with intellectual property teams to develop novel and impactful patent filings.</li><li>Apply core Artzi Lab technologies, tools, and scientific approaches, and help integrate them into broader translational strategy.</li></ul>Program and Team Leadership:<ul><li>Manage and mentor a team of post-doctoral students, graduate students, research assistants, and less experienced scientists providing guidance across experimental, and translational domains.</li><li>Responsibilities include: professional development and mentoring, managing, evaluating performance, advocating and motivating.</li><li>Lead cross-functional project teams and ensure that program milestones are met with scientific rigor and strategic clarity.</li><li>Build strong relationships with faculty, clinicians, collaborators, and business development professionals to advance program goals.</li><li>Help forge partnerships with clinicians across Harvard-affiliated hospitals and support integration of patient-derived insights into research and development .</li></ul>External Engagement and Translation:<ul><li>Develop and refine translational strategies that incorporate scientific, computational, regulatory, and commercial considerations.</li><li>Engage with industry partners, clinical collaborators, and philanthropic organizations to position technologies for successful translation.</li><li>Participate in building collaborative opportunities that bring new expertise, datasets, or analytical capabilities into Wyss programs.</li><li>Communicate program updates, risks, and strategic recommendations to senior Wyss leadership and stakeholders.</li><li>Engage with partnering hospitals to leverage patient data and clinical needs to inform scientific strategy.</li><li>Contribute to grant writing and help build relationships with external partners, including companies and foundations.</li></ul>Individual Scientific Contribution:<ul><li>Conduct experiments and studies that support ongoing research in the Artzi Lab. These could include formulation/nanoparticle preparation and related characterization as well in vitro and cell-based experiments, and in vivo and ex vivo studies including biomarker assays.</li><li>Conduct data analysis on all experiments performed and communicate data/results to the larger team;</li><li>Produce high-quality scientific documents, including study protocols, analyses, and reports.</li><li>Support safe and efficient lab operations, recommend equipment purchases, and manage supply procurement as needed</li></ul> Qualifications Basic Qualifications: <ul><li>Master’s degree in Biology, Bioengineering, Biomedical Science, Molecular Biology, Immunology, Computational Biology, or a related field. 12 years of experience in translational research, therapeutic or diagnostic development, or related scientific leadership roles; Education may count towards experience.</li></ul>Additional Qualifications and Skills: <ul><li>PhD strongly preferred in Biology, Bioengineering, Biomedical Science, Molecular Biology, Immunology, Computational Biology or related field.</li><li>Full-time post graduate industry experience with a focus on product development is preferred.</li><li>Proven track record leading complex scientific programs and advancing technologies toward translational or commercial milestones.</li><li>Demonstrated ability to manage and mentor scientific teams across experimental and/or computational disciplines.</li><li>Strong foundation in molecular or cellular biology, assay development, in vivo studies, analytical characterization, or related areas relevant to translational science.</li><li>Experience with computational analysis, biologics engineering, biomolecular assay development, or translational evaluation of emerging technologies.</li><li>Knowledge and experience in oncology and immunology preferred, as is drug discovery experience.</li><li>Familiarity with multi-omics data, imaging analysis, or predictive modeling is beneficial but not required.</li><li>Experience in drug delivery and development of nucleic acid therapeutics is strongly preferred</li><li>Ability to integrate diverse scientific approaches—experimental and computational—to inform program strategy.</li><li>Strong record of working with external partners to shape program direction and support high-impact collaborations.</li><li>Excellent written and verbal communication skills, including technical writing, strategic communication, and presenting to senior audiences.</li><li>Demonstrated success in generating impactful intellectual property and contributing to commercialization efforts.</li></ul> Additional Information <ul><li>Standard Hours/Schedule: 35 hours per week</li><li>Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position</li><li>Pre-Employment Screening: Identity, Education, Criminal, and Occupational Health Screening,&nbsp;Offer contingent on successful completion of a medical evaluation</li><li>Other Information: </li></ul>Why you’ll like working with us: At the Wyss Institute, you’re a member of a supportive, dynamic community that is united by its shared goal of changing the world through groundbreaking technology development and commercialization. We encourage your professional growth and development through mentorship and tuition reimbursement to support continued learning, and more. We also support your physical, financial, and mental well-being through generous time off benefits, gym reimbursements, and other programs offered through Harvard. Our facility is located in a new, state-of-the-art life sciences building in the lively Fenway neighborhood, where you have access to multiple amenities including a roof top terrace with stunning views of Boston and proximity to numerous restaurants and cultural attractions.&nbsp; We value an inclusive and diverse workforce, and believe that our differences enrich the work environment for all.#LI-DH1Work Format DetailsThis position has been determined by school or unit leaders that all duties and responsibilities must be performed at a Harvard or Harvard-designated location. Certain visa types may limit work location. Individuals must meet work location sponsorship requirements prior to employment.
Salary Grade and RangesThis position is salary grade level 060. Please visit &nbsp;<a href="https://hr.harvard.edu/salary-ranges" target="_blank">Harvard's Salary Ranges</a>  to view the corresponding salary range and related information.&nbsp;
BenefitsHarvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:&nbsp;<ul><li>Generous paid time off including parental leave&nbsp;</li><li>Medical, dental, and vision health insurance coverage starting on day one&nbsp;</li><li>Retirement plans with university contributions&nbsp;</li><li>Wellbeing and mental health resources&nbsp;</li><li>Support for families and caregivers&nbsp;</li><li>Professional development opportunities including tuition assistance and reimbursement&nbsp;</li><li>Commuter benefits, discounts and campus perks&nbsp;</li></ul>Learn more about these and additional benefits on our <a href="https://hr.harvard.edu/benefits-wellbeing" target="_blank">Benefits &amp; Wellbeing Page</a>.&nbsp;
EEO/Non-Discrimination Commitment StatementHarvard University is committed to <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal opportunity</a> and <a href="https://provost.harvard.edu/sites/g/files/omnuum12476/files/2025-07/non-discrimination_and_anti-bullying_policies.pdf" target="_blank">non-discrimination</a>. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.Harvard has an <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal employment opportunity policy</a> that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's <a href="https://provost.harvard.edu/sites/g/files/omnuum12476/files/2025-07/non-discrimination_and_anti-bullying_policies.pdf" target="_blank">non-discrimination policy</a>. Harvard's <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal employment opportunity policy</a> and <a href="https://provost.harvard.edu/sites/g/files/omnuum12476/files/2025-07/non-discrimination_and_anti-bullying_policies.pdf" target="_blank">non-discrimination policy</a> help all community members participate fully in work and campus life free from harassment and discrimination.

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