Yale University School of Medicine

Post-Doctoral Position in Decision Science and Classical Hematology

Description: A full-time postdoctoral position is available at the interface of decision analytic modeling and clinical classical hematology within the Section of Hematology, Department of Internal Medicine, at the Yale University School of Medicine. The candidate will be mentored by Dr. George Goshua.

Position Details: Successful candidates will have the opportunity to design, analyze and publish first author original science at the intersection of decision analytic modeling, health economics, and classical hematology. They will additionally have an opportunity to collaborate on ongoing projects with academicians at other institutions through an established, Yale-led multi-institutional collaborative, research hub. Candidates will have an opportunity to receive research training in decision analytic model building, cost-effectiveness, and cost-utility analyses. Prior research experience with claims data and/or systematic literature review and meta-analysis is highly valued as these outputs can help inform decision model inputs.

Examples of the practical impact of recently completed original science at this interface has helped lead to 1. inpatient formulary approval of rituximab for patients with immune thrombotic thrombocytopenic purpura (TTP) in the US hospital setting, 2. inform clinical optimization of tocilizumab in a supply-limited context in Canada, 3. open ongoing international debate as to the efficacy and safety of caplacizumab in immune TTP, and 4. fill an identified gap in the guidelines for optimal second-line treatment sequencing for patients with chronic immune thrombocytopenia. Ongoing and planned work includes research in gene therapy, allo-immunization, complement inhibition, iron deficiency, iron chelation, thrombosis, and the quantitative modeling of health inequities in the United States.


Minimum qualifications:

  1. MD/MBBS/PhD/ScD or equivalent degree, ideally with published research experience in systematic review and meta-analysis, and/or claims data analysis (i.e., OptumRx).
  2. Strong background in epidemiological and statistical methods, including coursework and/or research experience in evidence synthesis.
  3. Programming experience using large datasets (e.g., R, SAS, STATA).
  4. Strong written and oral communication skills.
  5. Experience in decision tree, Markov, microsimulation model building is preferred, but not required.

Salary will be based on the NIH postdoctoral research salary scale. The position is for one year with possible renewal at the second year depending on performance.

Application Instructions

To apply, please submit a CV, cover letter of no more than two pages, and contact information for three references (name with position, title, phone, and email address). In your cover letter, please summarize your relevant research experience.

Applications and questions regarding the position should be directed to Jennifer Horn [[email protected]] with Dr. George Goshua CC’ed [[email protected]]. Applications will be accepted until the position is filled.

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