Harvard T.H. Chan School of Public Health
Data Analyst
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Data Analyst
role at
Harvard T.H. Chan School of Public Health . This position is part of the Apple Women's Health Study team and requires complex data processing and analysis on large, multi-source datasets, including digital wearables, surveys, health tracking, and electronic health records.
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 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 the Dean’s vision of our school’s ongoing strategic initiatives.
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 a large, messy 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
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.
Maintaining relentless focus on performance and quality.
Communicating ideas, concepts and best practices to cross‑functional teams.
Collaborating with stakeholders across an interdisciplinary multi‑institution research project.
Working with subject matter experts to define high‑quality analysis plans and descriptions of the methods used for each analysis.
Monitoring key data metrics to assess participant enrollment and engagement.
Performing other duties as necessary.
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 another platform. 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 another 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, motivated, and passionate about achieving results.
Excellent interpersonal skills and ability to work well with other engineers, researchers and clinicians by listening, communicating clearly and actively sharing knowledge.
Experience navigating a matrixed environment and effectively working with and navigating 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.
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
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.
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.
Seniority level Not Applicable
Employment type Full‑time
Job function Information Technology
Industries Higher Education
#J-18808-Ljbffr
Data Analyst
role at
Harvard T.H. Chan School of Public Health . This position is part of the Apple Women's Health Study team and requires complex data processing and analysis on large, multi-source datasets, including digital wearables, surveys, health tracking, and electronic health records.
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 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 the Dean’s vision of our school’s ongoing strategic initiatives.
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 a large, messy 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
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.
Maintaining relentless focus on performance and quality.
Communicating ideas, concepts and best practices to cross‑functional teams.
Collaborating with stakeholders across an interdisciplinary multi‑institution research project.
Working with subject matter experts to define high‑quality analysis plans and descriptions of the methods used for each analysis.
Monitoring key data metrics to assess participant enrollment and engagement.
Performing other duties as necessary.
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 another platform. 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 another 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, motivated, and passionate about achieving results.
Excellent interpersonal skills and ability to work well with other engineers, researchers and clinicians by listening, communicating clearly and actively sharing knowledge.
Experience navigating a matrixed environment and effectively working with and navigating 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.
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
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.
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.
Seniority level Not Applicable
Employment type Full‑time
Job function Information Technology
Industries Higher Education
#J-18808-Ljbffr