Statistical Analyst/Programmer at Harvard University in Boston, Massachusetts

Job Description:

Harvard University


Position Title: Statistical Analyst/Programmer

Req ID: 67436BR

School or Unit: Harvard T.H. Chan School of Public Health

Description: 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.

HqO faculty members seek an energetic and organized individual to assist with a portfolio of multidisciplinary health policy and health services research projects. Our research team uses Medicare and other large national claims datasets to evaluate the

effectiveness and unintended consequences of US health reform.

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/

Position Description

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.

Basic Qualifications

• Bachelor's Degree in biostatistics, statistics, epidemiology, public health, applied mathematics, computer science, or closely related field, or equivalent experience required
• 3+ years of related work experience required
• Statistical programming experience in SAS required
• Strong database management and computer skills required

Additional Qualifications and Skills

The following job-specific skills and competencies are preferred:

• Master's degree in Statistics/Biostatistics preferred, with 1-3 years 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
• Ability to summarize/interpret complex analyses and strong deductive reasoning skills
• Ability to maintain detailed documentation of data management and programming work
• Comfortable working with multiple PIs and multiple projects at the same time

Benefits

We invite you to visit Harvard's Total Rewards website (https://hr.harvard.edu/totalrewards) to learn more about our outstanding benefits package, which may include:

• Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.
• Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.
• Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.
• Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.
• Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.
• Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.
• Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.
• Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.
• Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.

Department Office Location: USA - MA - Boston

Job Code: RS0356 Statistician I

Job Function: Research

Work Format: Hybrid (partially on-site, partially remote)

Sub Unit: ------------

Salary Grade: 056

Department: Health Policy and Management


Union: 00 - Non Union, Exempt or Temporary

Time Status: Full-time

Pre-Employment Screening: Education, Identity


Commitment to Equity Diversity Inclusion and Belonging: At the Harvard T.H. Chan School of Public Health, we believe that diversity is integral to the Harvard experience and our mission of improving public health education, research and policy. Diversity of cultural backgrounds, identities, lived experiences, perspectives, and ways of understanding the world enriches our community and enables us to best meet the public health needs of the United States and the world. Ongoing learning and development related to diversity allows for both individual and institutional growth, and is necessary to foster and sustain a culture of inclusion. To achieve this, we are committed to ensuring equitable access to opportunities for learning, living, and working at the Harvard Chan School. We maintain an unwavering dedication to diversity, inclusion, and belonging as core to our institutional values and to actively counter, minimize, and address racism, sexism, xenophobia, homophobia, gender bias, and all forms of discrimination.

Learn more about the School's mission, objectives, and core values, our Principles of Citizenship, and our diversity, inclusion, and belonging initiatives.

EOE Statement: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

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