Research Fellow

Who We Are

Point
32

Health is a leading not-for-profit health and well-being organization dedicated to delivering high-quality, affordable healthcare. Serving nearly 2 million members, Point
32

Health builds on the legacy of Harvard Pilgrim Health Care and Tufts Health Plan to provide access to care and empower healthier lives for everyone. Our culture revolves around being a community of care and having shared values that guide our behaviors and decisions. We've had a long-standing commitment to inclusion and equal healthcare access and outcomes, regardless of background; it's at the core of who we are.

We value the rich mix of backgrounds, perspectives, and experiences of all of our colleagues, which helps us to provide service with empathy and better understand and meet the needs of the communities where we serve, live, and work.

We enjoy the important work we do every day in service to our members, partners, colleagues and communities. Learn more about who we are at Point
32

Health.

Job Summary

Description:

A Postdoctoral position is available in the Department of Population Medicine at Harvard Pilgrim Health Care Institute and Harvard Medical School. The position involves the development, implementation, and evaluation of statistical methods for genomics and omics data in several phenotypes including asthma and depression. The goal of these statistical approaches is to understand the path from gene to disease and understand the role of environment.

Specific research areas include analyzing the association between SNPs (single nucleotide polymorphisms), metabolites, and the phenotypes; and examining the causal relationship between metabolites and asthma phenotypes. The successful candidate will work closely with Dr. Sharon Lutz in the Division of Biostatistics. The postdoctoral research fellow will have opportunities for both methodological research and close collaboration with medical investigators.

Jointly sponsored by a medical school and a non-profit health plan, Department of Population Medicine ((Use the "Apply for this Job" box below).) is uniquely positioned as a supportive and collaborative academic department. Its multi-disciplinary faculty includes biostatisticians, epidemiologists, health services researchers, data scientists, social scientists, internists, pediatricians, and decision analysts. Faculty members conduct research in multiple areas including statistical methods development and application, medical product safety surveillance, infectious disease epidemiology, aging, cancer control, maternal and child health, health care policy, and obesity prevention.

Qualifications:

* Doctoral degree, such as a PhD, or ScD, or in final stage of doctoral program in Biostatistics, Statistics, Bioinformatics, or related field.

* Proficiency with advanced statistical theory and methods.

* Strong programming skills (e.g., R, C++, Python).

* Excellent written and verbal communication skills.

* Ability to work collaboratively and independently.

* Ability to meet deadlines and manage time efficiently.

Additional Information:

To apply , please send a research statement, CV, contact information for three references and one sample publication.

Job Description

Salary Range

$62,106.34 -$93,159.50

Compensation & Total Rewards Overview

The annual base salary range provided for this position represents a range of salaries for this role and similar roles across the organization. The actual salary for this position will be determined by several factors, including the scope and complexity of the role; the skills, education, training, credentials, and experience of the candidate; as well as internal equity. As part of our comprehensive total rewards program, colleagues are also eligible for variable pay.

Eligibility for any bonus, commission, benefits, or any other form of compensation and benefits remains in the Company's sole discretion and may be modified at the Company's sole discretion, consistent with the law.

Point
32

Health offers their Colleagues a competitive and comprehensive total rewards package which currently includes:

* Medical, dental and vision coverage

* Retirement plans

* Paid time off

* Employer-paid life and disability…