Research Fellow

Point32Health • Boston, MA

19h

About The Position

A postdoctoral research position in the Department of Population Medicine at Harvard Pilgrim Health Care Institute and Harvard Medical School. The fellow will develop, implement, and evaluate statistical methods for genomics and omics data across phenotypes including asthma and depression, with the goal of understanding pathways from genes to disease and the role of the environment. Research includes studying associations among single nucleotide polymorphisms (SNPs), metabolites, and phenotypes, and examining causal relationships between metabolites and asthma phenotypes. The fellow will work closely with Dr. Sharon Lutz in the Division of Biostatistics and will have opportunities for methodological research and collaboration with medical investigators.

The Department of Population Medicine is a multidisciplinary academic department jointly sponsored by a medical school and a nonprofit health plan. Its faculty conduct research in areas including statistical methods, medical product safety surveillance, infectious disease epidemiology, aging, cancer control, maternal and child health, health care policy, and obesity prevention.

Requirements

• Doctoral degree, such as a PhD or ScD, or be in the final stage of a doctoral program in Biostatistics, Statistics, Bioinformatics, or a related field.
• Proficiency with advanced statistical theory and methods.
• Strong programming skills, such as R, C++, or Python.
• Excellent written and verbal communication skills.
• Ability to work collaboratively and independently.
• Ability to meet deadlines and manage time efficiently.

Responsibilities

• Design research studies and protocols, including developing timelines, meeting with faculty and staff collaborators, planning technical and data support, and creating survey instruments.
• Prepare research funding proposals and Sponsored Program Applications, including compiling documentary materials for human studies review.
• Manage research projects day to day, including overseeing research assistants, data collection, research planning, and data analysis.
• Manage database design and development.
• Prepare manuscripts describing research findings and submit them to peer-reviewed medical journals.
• Collaborate with others and perform other duties and projects as assigned.

Benefits

• Medical, dental, and vision coverage
• Retirement plans
• Paid time off
• Employer-paid life and disability insurance, with additional buy-up coverage options
• Tuition program
• Well-being benefits
• Benefits supporting career development, individual and family health, and financial health
• Eligibility for variable pay

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Ph.D. or professional degree