Harvard T.H. Chan School of Public Health
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.
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, 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
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 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
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, 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 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
Harvard University requires pre‑employment reference checks and background screenings
This position has a 90 day orientation and review period
Harvard T.H. Chan School of Public Health does not provide visa sponsorship, now or in the future, for staff positions
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!
Work Format Details This is a position that is based at a Harvard campus location with some remote work options available. 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.
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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.
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, 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
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 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
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, 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 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
Harvard University requires pre‑employment reference checks and background screenings
This position has a 90 day orientation and review period
Harvard T.H. Chan School of Public Health does not provide visa sponsorship, now or in the future, for staff positions
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!
Work Format Details This is a position that is based at a Harvard campus location with some remote work options available. 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.
#J-18808-Ljbffr