Statistical Analyst/Programmer

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 include, but are not limited to:

1. Variations in cost, quality, and outcomes for surgical, emergency, hospital, and cancer care
2. Quality of care for socially vulnerable patient populations, including low-income Medicare-Medicaid beneficiaries
3. Healthcare quality, outcomes, and disparities among older people with HIV
4. Access, quality, and efficiency in the Veterans Health Administration
5. Impact of the innovative alternative payment models (e.g., Accountable Care Organizations and bundled payment Initiatives) on healthcare value and equity for older adults
6. Changing market dynamics of the growing Medicare Advantage program, including restrictiveness and accessibility of healthcare provider networks
7. Climate change and health system resilience

This is an ideal position for a candidate seeking to gain research experience prior to pursuing further graduate education, including medical school or PhD programs. In addition to the research aims described above, a key aspect of the HqO mission is to train the next generation of health policy and health system leaders. To this end, HqO faculty are enthusiastic about providing opportunities for mentorship and professional growth that align with the successful candidate's long-term goals.

Learn more about the Department of Health Policy and Management here: https://www.hsph.harvard.edu/health-policy-and-management/

Job-Specific Responsibilities:

The successful candidate will work closely with faculty and research team members on a wide range of project-related tasks. These duties and responsibilities include, but are not limited to, the following:

• Organizes, maintains and manages data used in large research studies from multiple sources
• Designs analytical databases and maintaining the integrity of the databases, including merging of multiple data sets and data manipulation to perform statistical analysis
• Manages large data sets involving multiple years of data
• Interaction with remote consultants or team members
• Provides statistical analyses for multiple projects including multiple logistic and linear regression, longitudinal analysis, hierarchical models, and survey analysis
• Development of scientific reports and presentations
• Gives guidance to, and collaborates with faculties 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.

Qualifications

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

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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 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

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.