Harvard T.H. Chan School of Public Health
Statistical Analyst/Programmer
Harvard T.H. Chan School of Public Health, Boston, Massachusetts, us, 02298
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 about the Dean’s AAA vision about our school's ongoing strategic initiatives.
Job Summary The Healthcare Quality and Outcomes Lab (HqO) at the Harvard T.H. Chan School of Public Health, Department of Health Policy and Management is a research center focused on producing actionable evidence to promote quality, equity, and resilience across health care delivery systems. HqO brings together a multidisciplinary team of physicians, health policy researchers, health economists, biostatisticians, and data science experts across the Harvard T.H. Chan School of Public Health and Harvard‑affiliated teaching hospitals to evaluate and inform national and international health reform efforts.
Project Topics
Variations in cost, quality, and outcomes for surgical, emergency, hospital, and cancer care
Quality of care for socially vulnerable patient populations, including low‑income Medicare‑Medicaid beneficiaries
Healthcare quality, outcomes, and disparities among older people with HIV
Access, quality, and efficiency in the Veterans Health Administration
Impact of innovative alternative payment models (e.g., Accountable Care Organizations and bundled payment initiatives) on healthcare value and equity for older adults
Changing market dynamics of the growing Medicare Advantage program, including restrictiveness and accessibility of healthcare provider networks
Climate change and health system resilience
Job‑Specific Responsibilities
Organize, maintain, and manage data used in large research studies from multiple sources
Design analytical databases and maintain the integrity of the databases, including merging multiple data sets and data manipulation to perform statistical analysis
Manage large data sets involving multiple years of data
Interact with remote consultants or team members
Provide statistical analyses for multiple projects, including logistic and linear regression, longitudinal analysis, hierarchical models, and survey analysis
Development of scientific reports and presentations
Give guidance to, and collaborate with faculty and statisticians on analytical objectives
Other duties as assigned
PLEASE NOTE: This position has a term appointment of 1 year from date of hire with the possibility of extension.
PLEASE NOTE: Shortlisted candidates will be required to submit a writing sample and may be required to complete a skills assessment. More details will be provided in the interview process.
Basic Qualifications
Minimum of two years' post‑secondary education or relevant work experience
Experience with SAS required
Additional Qualifications and Skills
Bachelor's Degree in biostatistics, statistics, epidemiology, public health, applied mathematics, computer science, or closely related field, or equivalent experience strongly preferred
Master's degree in Statistics/Biostatistics along with 2+ years of professional working experience
Advanced skills/experience in statistical programming and data management
Knowledge of statistical research methodology/principles
Knowledge of SAS
Knowledge of SUDAAN and UNIX
Summarize/interpret complex analyses and strong deductive reasoning skills
Maintain detailed documentation of data management and programming work
Comfortable working with multiple PIs and multiple projects at the same time
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!
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 position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non‑Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard‑designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. 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. 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 Summary The Healthcare Quality and Outcomes Lab (HqO) at the Harvard T.H. Chan School of Public Health, Department of Health Policy and Management is a research center focused on producing actionable evidence to promote quality, equity, and resilience across health care delivery systems. HqO brings together a multidisciplinary team of physicians, health policy researchers, health economists, biostatisticians, and data science experts across the Harvard T.H. Chan School of Public Health and Harvard‑affiliated teaching hospitals to evaluate and inform national and international health reform efforts.
Project Topics
Variations in cost, quality, and outcomes for surgical, emergency, hospital, and cancer care
Quality of care for socially vulnerable patient populations, including low‑income Medicare‑Medicaid beneficiaries
Healthcare quality, outcomes, and disparities among older people with HIV
Access, quality, and efficiency in the Veterans Health Administration
Impact of innovative alternative payment models (e.g., Accountable Care Organizations and bundled payment initiatives) on healthcare value and equity for older adults
Changing market dynamics of the growing Medicare Advantage program, including restrictiveness and accessibility of healthcare provider networks
Climate change and health system resilience
Job‑Specific Responsibilities
Organize, maintain, and manage data used in large research studies from multiple sources
Design analytical databases and maintain the integrity of the databases, including merging multiple data sets and data manipulation to perform statistical analysis
Manage large data sets involving multiple years of data
Interact with remote consultants or team members
Provide statistical analyses for multiple projects, including logistic and linear regression, longitudinal analysis, hierarchical models, and survey analysis
Development of scientific reports and presentations
Give guidance to, and collaborate with faculty and statisticians on analytical objectives
Other duties as assigned
PLEASE NOTE: This position has a term appointment of 1 year from date of hire with the possibility of extension.
PLEASE NOTE: Shortlisted candidates will be required to submit a writing sample and may be required to complete a skills assessment. More details will be provided in the interview process.
Basic Qualifications
Minimum of two years' post‑secondary education or relevant work experience
Experience with SAS required
Additional Qualifications and Skills
Bachelor's Degree in biostatistics, statistics, epidemiology, public health, applied mathematics, computer science, or closely related field, or equivalent experience strongly preferred
Master's degree in Statistics/Biostatistics along with 2+ years of professional working experience
Advanced skills/experience in statistical programming and data management
Knowledge of statistical research methodology/principles
Knowledge of SAS
Knowledge of SUDAAN and UNIX
Summarize/interpret complex analyses and strong deductive reasoning skills
Maintain detailed documentation of data management and programming work
Comfortable working with multiple PIs and multiple projects at the same time
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!
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 position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non‑Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard‑designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. 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