Postdoctoral Research Fellow in Machine Learning and Clinical Informatics

1 week ago


Boston, Massachusetts, United States Harvard Pilgrim Health Care Institute Full time
About the Opportunity

We are seeking a highly motivated and talented Postdoctoral Research Fellow to join our team at Harvard Pilgrim Health Care Institute. As a Research Fellow, you will have the opportunity to work on cutting-edge research projects in machine learning and clinical informatics, investigating methods to learn from longitudinal, multimodal data present in electronic health records.

Key Responsibilities
  • Lead or participate in research projects based on your background and interests
  • Develop and apply statistical and/or machine learning methods to large real-world datasets
  • Prepare manuscripts detailing research findings and submit to peer-reviewed journals
  • Present research findings within and outside of the department
  • Work closely with faculty mentors to monitor progress and resolve issues that arise during the course of research
Qualifications
  • 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
  • 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
What We Offer
  • A competitive salary and benefits package
  • The opportunity to work on innovative research projects with a multidisciplinary team
  • Access to state-of-the-art research facilities and resources
  • Professional development opportunities and mentorship
Commitment to Diversity, Equity, and Inclusion

Harvard Pilgrim Health Care Institute is committed to creating a diverse and inclusive environment that values and respects the contributions of all individuals. We welcome applications from candidates who share our commitment to these values and are passionate about advancing healthcare research and innovation.


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