Who We Are

Point32Health is a leading health and wellbeing organization, delivering an ever-better personalized health care experience to everyone in our communities. At Point32Health, we are building on the quality, nonprofit heritage of our founding organizations, Tufts Health Plan and Harvard Pilgrim Health Care, where we leverage our experience and expertise to help people find their version of healthier living through a broad range of health plans and tools that make navigating health and wellbeing easier.

We enjoy the important work we do every day in service to our members, partners, colleagues and communities. To learn more about who we are at Point32Health, click here.

Job Summary

We have an opening for a postdoctoral fellow for research in machine learning and clinical informatics. We are seeking to investigate methods to learn from longitudinal, multimodal data present in electronic health records to: (1) predict disease trajectories and outcomes of patients with a range of rare diseases; (2) perform deep phenotyping of patients with complex diseases, with the goal of improving diagnosis and treatment of these diseases. The research will also address the challenges in applying machine learning methods to small datasets as well as the trustworthiness of machine learning and how we can improve the interpretability of machine learning models and their translatability to clinical care. The candidate will work in a multidisciplinary, highly collaborative scientific environment with opportunities to interact with other faculty members, clinicians, other computational researchers, as well as external industry collaborators.

Key Responsibilities/Duties – what you will be doing

Lead or participate in research projects based on the Fellow's background and interests
May participate in the development of grant proposals, research protocols, surveillance plans, and analysis plans
Prepares manuscripts detailing research findings and submits to peer-reviewed journals
Participates in development of new analytic and data-sharing methods
Presents research findings within and outside of the department
Works closely with DPM faculty mentor to monitor progress and resolve issues that arise during the course of research
Other duties and projects as assigned

Qualifications – what you need to perform the job

Doctoral degree, such as an MD, PhD, or ScD, or in final stage of doctoral program in computer science, statistics, mathematics, physics, and/or engineering; or a degree in biological science with demonstrated experience in computational and statistcal methods development
Advanced knowledge and proven track record in developing and applying statistical and/or machine learning methods to large real-world datasets
Advanced programming skills with familiarity of statistical software such as SAS and R
Strong written and interpersonal communication skills
Ability to work independently and manage time effectively
Ability to meet deadlines and work within budgets

Compensation & Total Rewards Overview

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/

Commitment to Diversity, Equity, Inclusion, Accessibility (DEIA) and Health Equity

Point32Health is committed to making diversity, equity, inclusion, accessibility and health equity part of everything we do—from product design to the workforce driving that innovation. Our Diversity, Equity, Inclusion, Accessibility (DEIA) and Health Equity team's strategy is deeply connected to our core values and will evolve as the changing nature of work shifts. Programming, events, and an inclusion infrastructure play a role in how we spread cultural awareness, train people leaders on engaging with their teams and provide parameters on how to recruit and retain talented and dynamic talent. We welcome all applicants and qualified individuals, who 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.