About The Position

The Department of Epidemiology & Population Health and the Department of Anesthesiology, Perioperative & Pain Medicine at Stanford University School of Medicine invite applications for a joint faculty position in pharmacoepidemiology at the rank of Assistant, Associate, or Full Professor. This position is open to the University Tenure Line, University Medical Line, or Non-Tenure Research Line, commensurate with qualifications and experience. The primary department will be determined upon offer of hire. We seek candidates with expertise in pharmacoepidemiology and real-world evidence to study the safety, effectiveness, and utilization of medications across a range of clinical and population settings. All clinical areas of focus in pharmacoepidemiology are of interest, including cardiovascular, metabolic, perinatal, pediatric, infectious disease, analgesics, and substance use disorder. Investigators focusing on methods development are also of interest. The successful candidate will have a primary appointment in Epidemiology & Population Health and a joint appointment in Anesthesiology, Perioperative & Pain Medicine (or vice versa, depending on background), and will be expected to develop an independent, externally funded research program, collaborate across disciplines, and contribute to teaching and mentoring.

Requirements

  • Doctoral degree (PhD, ScD, DrPH, or equivalent) in epidemiology, pharmacoepidemiology, biostatistics, health services research, pharmaceutical outcomes, or a related field; or MD/PharmD with substantial training in epidemiology or quantitative methods.
  • Demonstrated expertise in pharmacoepidemiologic study design and analysis of large health care datasets.
  • Evidence of research productivity commensurate with rank, including peer reviewed publications and, for more senior candidates, a record of independent research funding.
  • Commitment to excellence in teaching, mentoring, and fostering an inclusive and collaborative environment across departments.

Nice To Haves

  • Experience with perioperative, ICU, pain, or related clinical data is highly desirable.
  • A strong record (or clear potential, for junior applicants) in designing and conducting observational pharmacoepidemiologic studies using large health care databases.
  • A strong record (or clear potential, for junior applicants) in developing and/or applying advanced epidemiologic and quantitative methods (e.g., causal inference, comparative effectiveness, confounding control) to questions related to drug safety and effectiveness.
  • Candidates may choose to include as part of their research and teaching statements a brief discussion about how their work and experience will further these values.

Responsibilities

  • Designing and conducting observational pharmacoepidemiologic studies using large health care databases (e.g., electronic health records, administrative claims, registries, perioperative and ICU data, pharmacy data).
  • Developing and/or applying advanced epidemiologic and quantitative methods (e.g., causal inference, comparative effectiveness, confounding control) to questions related to drug safety and effectiveness.
  • Collaborating with faculty in Epidemiology & Population Health, Anesthesiology, Perioperative and Pain Medicine, and other clinical and data science units across Stanford Medicine.
  • Teach in graduate or professional programs in epidemiology, pharmacoepidemiology, and/or clinical research methods.
  • Contribute to training programs in both departments (e.g., mentoring MD/MS/PhD students, postdoctoral fellows, and clinical fellows in medicine or related fields).
  • Help build methodologic capacity in pharmacoepidemiology and real world evidence among trainees and faculty.
  • Engage in service to both departments and the School of Medicine, including participation in committees, working groups, and program development, commensurate with rank.

Benefits

  • Housing assistance

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Education Level

Ph.D. or professional degree

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