Institutional Data Initiative
Statistical Analyst/Programmer
Institutional Data Initiative, 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 Description 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:
Understanding the impact of Medicaid Managed Care adoption on a range of medical and long‑term services and supports outcomes
Identifying populations who likely qualify for exemptions to forthcoming Medicaid work requirements in claims data
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
Understanding the role that Medicaid Home and Community‑Based Services expansion has on Medicaid and Medicare costs and quality measures
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
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 maintains 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.
Qualifications 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
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, Criminal
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.
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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 Description 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:
Understanding the impact of Medicaid Managed Care adoption on a range of medical and long‑term services and supports outcomes
Identifying populations who likely qualify for exemptions to forthcoming Medicaid work requirements in claims data
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
Understanding the role that Medicaid Home and Community‑Based Services expansion has on Medicaid and Medicare costs and quality measures
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
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 maintains 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.
Qualifications 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
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, Criminal
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.
#J-18808-Ljbffr