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Why join the Harvard T.H. Chan School of Public Health?
The Harvard T.H. Chan School of Public Health is a world-renowned institution dedicated to advancing public health through cutting-edge research, education, and global collaboration. Our school is a special place to work because of its vibrant, mission-driven community, interdisciplinary approach, and commitment to addressing some of the most pressing health challenges worldwide. We foster a collaborative and inclusive work environment where innovation, continuous learning, and work-life balance are valued.
Learn more about the School’s mission, objectives, and core values, our Principles of Citizenship, and about the Dean’s AAA vision about our school’s ongoing strategic initiatives.
Job Description
Job Summary:
The Apple Women's Health Study team at the Harvard T.H. Chan School of Public Health is Seeking a Data Analyst to complete complex data processing and analyses on this large and complex dataset. The ideal candidate has strong expertise in Python and is comfortable working with ambiguous, big and messy data streams. The role will require delving into real-world digital wearables, survey, health tracking and electronic health records data and producing high quality exploratory analyses, publications and presentations. You must be relentlessly curious and have a knack for data wrangling and deriving clear analytical ideas and limitations from real-world health tracking data. In addition to using technical knowledge to complete complex analysis, you must be comfortable with rapidly evolving requirements and have excellent interpersonal skills.
Job-Specific Responsibilities:
This position requires a self-motivated engineer with strong technical and communication skills to handle responsibilities including:
- Designing and building high-quality data analyses that have detailed documentation and are easily understood
- Using SPark to structure large volumes of data into tables, answer questions, or investigate issues.
- Developing new code to support the team with data parsing, processing and analyses
- Maintain relentless focus on performance and quality
- Communicating ideas, concepts and best practices to cross functional team
- Collaborating with stakeholders across an interdisciplinary multi-institution research project
- Working with subject matter experts to define high quality analyses plans and descriptions of the methods used for each analysis
- Monitor key data metrics to assess participant enrollment and engagement
- Performing other duties as necessary
PLEASE NOTE: This position has a term appointment of one year from date of hire with the possibility of extension. Shortlisted candidates will be required to provide a work sample with GitHub or other. More details will be discussed during the interview process.
Qualifications
Basic Qualifications:
- Minimum of two years’ post-secondary education or relevant work experience
- Experience using Python
- Experience with APache, Spark, or SQL
Additional Qualifications and Skills:
- Bachelor's or Master’s Degree in Statistics, Data Science, Computer Science, Mathematics, Informatics, or other health data related field preferred
- 2+ years of relevant experience
- Enthusiasm for and experience working with complex real-world datasets
- Implementation of computational methods for big data
- Solid understanding of fundamental Computer Science concepts
- Creative and strong problem solving skills with meticulous attention to detail
- Highly organized, creative, motiviated, and passionate about achieving results
- Excellent interpersonal skills and ability to work well with other engineers, researchers and clinicians by listenting, communicating clearly and actively sharing knowledge
- Experience navigating a matrixed environment and effectively work with and navigate dynamics on cross-functional teams
Additional Information
- Appointment End Date: One year from date of hire
- Standard Hours/Schedule: 35 hours per week
- Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position
- Pre-Employment Screening: Identity, Education
Join the Harvard T.H. Chan School of Public Health to support our mission of health research and education, and to be a part of the oldest institution of higher learning in the country!
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- The Harvard T.H. Chan School of Public Health does not provide visa sponsorship, now or in the future, for staff positions.
- Harvard University requires pre-employment reference checks and background screenings.
- This position has a 90 day orientation and review period.
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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.
Work Format Details
This 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.
Salary Grade and Ranges
This position is salary grade level 056. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information.
Benefits
Harvard 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:
- Generous paid time off including parental leave
- Medical, dental, and vision health insurance coverage starting on day one
- Retirement plans with university contributions
- Wellbeing and mental health resources
- Support for families and caregivers
- Professional development opportunities including tuition assistance and reimbursement
- Commuter benefits, discounts and campus perks
Learn more about these and additional benefits on our Benefits & Wellbeing Page.
EEO/Non-Discrimination Commitment Statement
Harvard University is committed to equal opportunity and non-discrimination. 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 equal employment opportunity policy 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 non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.