Research Fellow

Who We Are

Point32Health is a leading not-for-profit health and well-being organization dedicated to delivering high-quality, affordable healthcare. Serving nearly 2 million members, Point32Health 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 Point32Health .

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 (www.populationmedicine.org) 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.

Job Description

DUTIES/RESPONSIBILITIES – what you will be doing:

• •Design research study and protocols, including creating detailed timelines, meeting with faculty and staff collaborators, planning for technical and data support, and creating survey instruments.
• •Prepare proposal for obtaining research funding & Sponsored Program Application including compiling documentary material for human studies review.
• •Provide day-to-day management for research projects, including overseeing the activities of research assistants, data collection, developing plans, conducting data analysis. Manage database design and development.
• •Prepare manuscripts detailing research findings and submit findings to peer-reviewed medical journals.
• •Perform out-of-the-box thinking, collaborate with others, and make a difference every day!
• •Other duties and projects as assigned.

QUALIFICATIONS – what you need to perform the job:

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.

WORKING CONDITIONS AND ADDITIONAL REQUIREMENTS:

• •Must be able to work under normal office conditions and work from home as required.
• •Work may require simultaneous use of a telephone/headset and PC/keyboard and sitting for extended durations.
• •May be required to work additional hours beyond standard work schedule.

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Management retains the discretion to add to or change the duties of the position at any time.

Salary Range

$60,527.31 -$90,790.97

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.

Point32Health 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 insurance with additional buy-up coverage options

Tuition program

Well-being benefits

Full suite of benefits to support career development, individual & family health, and financial health

For more details on our total rewards programs, visit https://www.point32health.org/careers/benefits/

• We welcome all
• All applicants are welcome and will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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