Statistical Analyst/Programmer

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 Department of Health Policy and Management (HPM) at the Harvard T.H. Chan School of Public Health is seeking an energetic and organized individual for the position of statistical programmer to support a portfolio of multidisciplinary health policy and health services research projects. Our research team is seeking a programmer who can work effectively with Medicare and Medicaid administrative claims data, among other large databases of health care claims and assessments.

Project topics include, but are not limited to:

1. Understanding the impact of Medicaid Managed Care adoption on a range of medical and long-term services and supports outcomes
2. Identifying populations who likely qualify for exemptions to forthcoming Medicaid work requirements in claims data
3. Assessing the impact of the COVID-19 public health emergency on a range of medical and long-term services and supports outcomes, including evaluating the degree to which different state policy choices have served as a mediating factor exacerbating or mitigating harms from COVID-19
4. Understanding the role that Medicaid Home and Community-Based Services expansion has on Medicaid and Medicare costs and quality measures
5. Developing predictive analytic models to identify people with disabilities and older adults likely to use long-term services and supports (LTSS) or transition between different LTSS settings
6. Develop and implement models for measuring health disparities experienced by people with disabilities across the health care system

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 HPM mission is to train the next generation of health policy and health system leaders. To this end, HPM 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, quasi-experimental methods, longitudinal analysis, hierarchical models, and survey analysis
• Development of scientific reports and presentations
• Gives guidance to, and collaborates with faculty members 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 STATA and R required

Additional Qualifications and Skills:

• Master's degree in Statistics/Biostatistics preferred, with 1-3 years working experience
• Strong database management and computer skills
• Advanced skills/experience in statistical programming and data management
• Knowledge of statistical research methodology/principles
• Knowledge of Python and Databricks
• Summarizes/interprets complex analyses and strong deductive reasoning skills
• Maintains detailed documentation of data management and programming work
• Comfortable working with multiple PIs and multiple projects at the same time

• 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, Criminal

------------------

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 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. 

--------------------

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.