field_remote_option

field_job_employment_type

job_industry

field_job_occupational_field_parents_all

job_organization_name

Company Description By working at Harvard University,&nbsp;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 Harvard Graduate School of Education?The Harvard Graduate School of Education (HGSE) is a diverse community of learners, teachers, and employees who are passionate about changing the world through education and striving for maximum impact in the field of education.Many choose to work at the Harvard Graduate School of Education because they believe in our mission and are excited by our vision for the future. We have a reputation as a great place to work, for our excellent leadership, and we are a strong community that values diversity. For more information about HGSE, its programs, research, and faculty, please visit: <a href="http://www.gse.harvard.edu" target="_blank">www.gse.harvard.edu</a>. Job Description Job Summary:Design, plan, and implement software and data services that support and enrich research productivity and reliability.&nbsp; Develop software and data services with researchers to ensure that modern standards of reproducible research are kept. 
Position Description:HGSE is a diverse community&nbsp;of learners, teachers, and employees who are passionate about changing the world through education and striving for maximum impact in the field of education. The Senior Data Scientist at the Center for Education Policy Research (CEPR) at Harvard University leads statistical programming, collaborates with Principal Investigators to develop advanced models and analysis tools, develops data architecture and data processing pipelines, works with multiple stakeholders and develops visualizations to communicate key findings to non-technical audiences, and advises projects on state-of-the-art software and data solutions to support the research. CEPR partners with school districts, charter school networks, and state education agencies to bring high quality research methods and data analysis to bear on strategic management and policy decisions. We believe that (1) policy and management decisions directly influence the ability of schools and teachers to improve student achievement; and (2) valid and reliable data analysis significantly improves the quality of decision-making. We design our work around the theory of action that if we bring together the right people, the right data, and the right analysis, significantly better decision-making will occur, and student outcomes will be improved.&nbsp;The Senior Data Scientist reports to CEPR’s Director of Research who will identify specific projects and tasks that would benefit from the Senior Data Scientist’s expertise.&nbsp; 
&nbsp;Job-Specific Responsibilities:<ul><li>Develops advanced models and performs complex statistical programming to support the research.</li><li>Advises research projects on state-of-the-art technical solutions to analytic and data challenges.&nbsp;</li><li>Translates complex analyses for policy and practitioner audiences and develop visualizations that help people understand key findings and new insights.&nbsp;</li><li>Mentors research analysts on statistical programming and informally supervise the analyst on any tasks that the Senior Data Scientist assigns to them.</li><li>Serves as a resource to the team for computer programming and statistics. Occasionally, group training on specific tools or models.&nbsp;&nbsp;</li><li>Builds internal code design and development guides for future contributors,</li><li>Conducts quality assurance to ensure the reproducibility of analyses, documentation of methods and algorithms, and use of appropriate statistical tests.</li><li>Collaborates with Principal Investigators and Project Directors to develop research plans and statistical analyses.</li><li>Contributes to papers and reports.</li></ul>Please Note: Any candidate wishing to be considered must supply a cover letter in addition to their resume showing that they meet the required basic qualifications. Any candidate invited to an initial round of interview will be asked to submit a sample program.&nbsp; Any candidate invited to a second round of interview will be asked to complete a case.&nbsp; This is a one-year term position from the date of hire, with the possibility of extension, contingent upon work performance and continued funding to support the position.&nbsp; 
Physical Requirements: 
Working Conditions:HGSE is currently developing dynamic workplace models which will actively support a combination of on-campus and remote work (within a state in which Harvard is registered to do business) where business and operational needs allow. You and your manager will discuss the best schedule based on your role and operational need. If your role allows for remote work, please note that all remote work must be performed within a state in which Harvard is registered to do business (CA (Only Exempt), CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT, and WA). Please also note that Harvard will withhold each applicable state’s required tax and other withholdings from your paycheck for the time you work there. 
 
The health of our workforce is a priority for Harvard University. With that in mind, we strongly encourage all employees to be up-to-date on CDC-recommended vaccines. 
 
We regret that the Harvard Graduate School of Education does not provide Visa sponsorship. Qualifications Basic Qualifications:<ul><li>Minimum of seven years’ post-secondary education or relevant work experience</li></ul> 
Additional Qualifications and Skills:Bachelor’s degree in computer science, Statistics, Data Science, Economics, Mathematics, or a related field.&nbsp;7+ years of relevant experience or post-secondary education.3+ years’ experience in advanced statistical programming using Stata or R.Additional Qualifications and Skills:&nbsp;Master’s degree preferred.5+ years experience in statistical programming preferred.3+ years experience supporting social science research projects preferred.Experience with Bayesian estimation, machine learning, natural language processing, cloud-based computing, and/or Artificial Intelligence strongly preferred.Experience with managing and analyzing large datasets, scaling processes, developing data architectures, and developing R packages preferred.Experience with version control software (such as Git), code reviews, and unit testing preferred.Ability to translate technical topics for non-technical audiences and to develop analyses and visualizations that convey key findings clearly.Demonstrated creative ability to solve challenges in novel ways using state-of-the-art statistical and data processing techniques.Experience working with K-12 or postsecondary education data a plus.&nbsp; 
Certificates and Licenses: 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:Education,Identity </li><li>Other Information:HGSE Human Resources values diversity in all forms and believes that each employee brings a set of diverse experiences and identities to the workplace that makes us stronger, encourages innovation, and enhances our collective contributions.&nbsp; We continue to develop and support a workforce that reflects the diversity of those we serve; fosters an environment that allows everyone to belong and to bring their best self to work; and creates the conditions that empower employees to contribute their full potential to advancing the work of the school.We do this by:<ul><li>Hiring and retaining staff reflecting the diversity of those we serve</li><li>Providing employees opportunities to learn, grow, and be challenged</li><li>Reviewing and ensuring fairness and equity in HR practices and policies including but not limited to hiring, promotion, and compensation</li><li>Developing strong relationships and partnerships internal and external to our community to advance diversity and inclusion</li><li>Communicating transparently and respectfully; and</li><li>Fostering an inclusive, respectful, and professional work environment</li></ul> 
About the Harvard Graduate School of Education 
 
Many choose to work at the Harvard Graduate School of Education because they believe in our mission and are excited by our vision for the future. We have a reputation as a great place to work, for our excellent leadership, and we are a strong community that values diversity. For more information about HGSE, its programs, research, and faculty, please visit: <a href="http://www.gse.harvard.edu" target="_blank">www.gse.harvard.edu</a></li></ul>Work Format DetailsThis is a position that is based at a Harvard campus location with some remote work options available. Additional details will be discussed during the interview process. All remote work must be performed within one of the Harvard Registered Payroll States, which currently includes Massachusetts, Connecticut, Maine, New Hampshire, Rhode Island, Vermont, Georgia, Illinois, Maryland, New Jersey, New York, Virginia, Washington, and California (CA for exempt positions only). Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.&nbsp;
Salary Grade and RangesThis position is salary grade level 058. 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/files/provost/files/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.&nbsp;Harvard has an <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal employment opportunity</a> policy that outlines our commitment to&nbsp;prohibiting discrimination on the basis of race, sex, ethnicity, color, national origin, religion, disability, or any other characteristic protected by law or identified in the university’s <a href="https://provost.harvard.edu/files/provost/files/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</a> policy and <a href="https://provost.harvard.edu/files/provost/files/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.&nbsp;

Harvard University FAS Human Resources

Senior Data Scientist

Company Description By working at Harvard University,&nbsp;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 Harvard University Central Administration?Harvard University's Central Administration (CADM) is a 5,000+ employee organization that supports the university's overall excellence by understanding and serving the needs of its schools, students, faculty, staff, alumni, and surrounding communities. Through dynamic and collaborative partnerships, CADM provides high-quality and efficient services to the schools to help them achieve their goals. Job Description Direct advanced applications development for major and highly complex projects; typically work as part of a team to implement complex business solutions. Manage a number of projects simultaneously.&nbsp; Define problem(s), design and gain resources to carry our solution(s). Set the strategic direction for the applications development group.&nbsp;Design, plan, and implement software and data services that support and enrich research productivity and reliability.&nbsp; Develop software and data services with researchers to ensure that modern standards of reproducible research are kept.The Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University is a dynamic and diverse community of students, scientists, and engineers dedicated to unraveling the basis of intelligence in both natural and artificial contexts and leveraging these findings to develop groundbreaking technologies. To support this growing community of scientists and students, the Kempner Institute has established one of the largest academic AI supercomputers in the world. Additionally, the institute is hiring senior engineers with deep experience in machine learning and AI to facilitate cutting-edge research. 
 
We are hiring a Senior ML Research Engineer with a proven record of technical leadership and solid engineering skills to enhance our Research &amp; Engineering team at the Kempner Institute. The Senior ML Research Engineer will play a critical role in building robust machine-learning codebase, distributing AI/ML models on the AI cluster, and utilizing their expertise to tackle complex challenges in large AI/ML applications. 
 
The ideal candidate will demonstrate a passion for pushing the boundaries of AI/ML technologies and an enthusiasm to contribute to a collaborative and innovative environment. Harvard University encourages candidates with diverse backgrounds and fresh perspectives to join the Kempner Institute. 
&nbsp;Core Duties:<ul><li>Advise researchers in the design, planning, and implementation of software or data analysis that enriches research productivity and reliability</li><li>Build deep understanding of specific research activities through regular engagements</li><li>Develop a scope of work and timely project plan with regular milestones</li><li>Build and maintain software code and custom data processing pipelines for complex environments</li><li>Apply firm understanding of numerical methods or data analysis to develop custom solutions to meet researchers’ needs</li><li>Work in a team of developers and researchers in collaboration with systems professionals</li><li>Provide regular communications to stakeholders with project updates</li><li>Build internal code design and development guides for future contributors</li><li>Build advanced curriculum and teach workshops for researchers on sustainable software and data management practices that preserve the reproducibility of their research domain</li><li>Abide by and follow the Harvard University IT technical standards, policies and Code of Conduct</li></ul>Working Conditions:<ul><li>Work is performed in an office setting</li></ul> Qualifications Candidates MUST meet the following basic qualifications to be considered for this role:<ul><li>Minimum of seven years’ post-secondary education or relevant work experience</li></ul>Additional Qualifications and Skills:<ul><li>Expertise in implementing software engineering best practices such as code reviews, version control, documentation, and agile methodologies.</li><li>Strong experience in machine learning/AI research and technical support.</li><li>Deep understanding of modern machine learning architectures and optimization techniques.</li><li>Proficiency in deep learning frameworks (PyTorch).</li><li>Experience with Nvidia GPU stack and HPC technologies.</li><li>Detail-oriented expertise, with strong problem-solving skills to support research.</li><li>Excellent communication skills, able to simplify complex tech concepts.</li><li>Strong team player with a service mindset, able to guide researchers.</li><li>Proven track record of success in working in a cross-functional team in an agile environment.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</li></ul>Certificates and Licenses:<ul><li>Completion of Harvard IT Academy specified foundational courses (or external equivalent) preferred</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.&nbsp;Harvard University requires pre-employment reference and background screening.</li><li>This position has a 6-month orientation and review period.&nbsp;</li></ul>#LI-EP1Work Format DetailsThis is a position that is based at a Harvard campus location with some remote work options available. Additional details will be discussed during the interview process. All remote work must be performed within one of the Harvard Registered Payroll States, which currently includes Massachusetts, Connecticut, Maine, New Hampshire, Rhode Island, Vermont, Georgia, Illinois, Maryland, New Jersey, New York, Virginia, Washington, and California (CA for exempt positions only). Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.&nbsp;
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/files/provost/files/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.&nbsp;Harvard has an <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal employment opportunity</a> policy that outlines our commitment to&nbsp;prohibiting discrimination on the basis of race, sex, ethnicity, color, national origin, religion, disability, or any other characteristic protected by law or identified in the university’s <a href="https://provost.harvard.edu/files/provost/files/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</a> policy and <a href="https://provost.harvard.edu/files/provost/files/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.&nbsp;

Senior ML Research Engineer

Title: Part-Time Faculty – Medical Laboratory Technology
Employee Classification:&nbsp; Part-Time Faculty
Institution:&nbsp;Columbia State Community College
Campus Location: Columbia State Community College
Job Summary
Part time faculty are hired as needed on a semester-to-semester basis and typically teach up to nine credit hours during the semester. Columbia State offers classes at five campuses: Columbia Campus, Williamson Campus, Lawrenceburg Campus, Lewisburg Campus, and Clifton Campus. Columbia State also offers classes at several off-campus locations and clinical sites.
Minimum Qualifications
<ul>
<li>Hold a Bachelor’s degree or higher with a major in a Medical Laboratory or Clinical Laboratory Science or related field</li>
</ul>
OR
<ul>
<li>Hold an AAS degree or higher in Medical Laboratory Technology AND either hold TN license as a Medical Technologist or have a minimum of one year experience in field.</li>
</ul>
Preferred Qualifications
Teaching Experience Higher Education Experience
Special Instruction to Applicants:
You must submit a transcript and a resume/CV to be considered for a Part-Time Faculty position. Unofficial transcripts are acceptable for the application process. Official transcripts will be required upon hire. Applicants may be subject to a background check. Please note the closing date for pool postings. If you are still interested, you must re-apply each calendar year.
Salary is $560 per credit hour. Workload adjustments will be made for faculty teaching classes where the number of contact hours exceeds the number of credit hours. Additionally, a travel stipend may be negotiated at time of hire for faculty traveling more than 80 miles each week to teach their classes. For part-time faculty who continue to work at Columbia State, salary is based on collegiate level teaching experience documented during the first semester of teaching.
Part-Time Faculty Duties and Responsibilities
The part-time faculty member reports directly to the dean for assignments/duties and is responsible for:
<ul>
<li>Preparing for courses as assigned and adhering to departmental course syllabi and course minimum student learning outcomes.</li>
<li>Beginning and ending all classes as schedules.</li>
<li>Organizing, assigning, and supervising learning activities of students in his/her classes.</li>
<li>Maintaining academic standards and classroom behavior to ensure an environment conducive to learning. Evaluating students using a variety of methods and for informing each student of scores received on each assessment in a timely manner.</li>
<li>Maintaining accurate records of student attendance/participating and grades.</li>
<li>Reading Columbia State email and responding to student questions via email in a timely manner.</li>
<li>Meeting deadlines for all administrative requests such as submitting personnel paperwork, student enrollment</li>
</ul>

Motlow State Community College


      Part-Time Faculty - Medical Laboratory Technology
    

Title: Adjunct Instructor –Business and Computer Technology (BCT) – Computer Applications Instructor (Microsoft Office 365/2021) In-person-traditional classroom setting on a MW or TR – day sections
Required Documents Needed to Upload at Time of Application: • Resume • Unofficial Transcripts
Position Summary: To provide quality instruction for student learning and to maintain a positive learning environment in the classroom. The major emphasis will be placed on teaching and evaluating students in the classroom and laboratories.
Department: Business &amp; Computer Technology
Duties and Responsibilities: 1. Planning and teaching classes as assigned and as outlined in the course descriptions and course syllabi. 2. Supervising the study and learning activities of students assigned. 3. Submitting requests through the department head, program coordinator, or lead teacher for equipment, supplies, textbooks, and other instructional aids. 4. Evaluating the academic progress of students. 5. Demonstrating knowledge of services, regulations, and procedures as defined in the Adjunct Faculty Handbook. 6. Submitting course grades and performing other administrative duties as required. 7. Scheduling two office hours. For extenuating circumstances in which office hours cannot be scheduled, the adjunct faculty member must submit a written plan to the Dean describing how students can access the instructor. Office hours are not paid during the summer session.
 Required Qualifications: Master’s degree or higher from a regionally accredited college/university with at least 18 graduate semester hours in the computer applications teaching field
 Availability/Closing Date: This posting is not a guarantee of an open position. Applications for adjunct faculty positions are accepted on a continuous basis and reviewed by the department when openings become available. Future teaching assignments are on a term-by-term basis, which may include fall, spring and summer. Postings close yearly on January 31; to maintain your application within the system, you will need to re-apply each year.
Special Instructions to Applicants: To be considered for a position at Pellissippi State, you must create an on-line application. Your skills, abilities, qualifications, and years of experience will be evaluated using only what is recorded on your application. Please note: attaching a resume does not substitute for completion of the application form. Part-time work experience is calculated at 50% of full-time experience. Please note: to scan, upload, or attach documents, a computer and scanner are available at the Hardin Valley Campus Educational Resources Center, if needed.
 Pellissippi State Community College is an EEO/AA/Title VI/Title IX/Section 504/ADA employer If you have any problems or questions please contact Pellissippi State Community College’s Human Resource Office at 865-694-6607 or by email at <a href="mailto:recruiting@pstcc.edu" target="_blank">recruiting@pstcc.edu</a>.
 If you are interested in this position, click on the link to the top “right” to apply.
 #mrp

14 IT / Computer Engineering Part Time Jobs