Biostatistician - Med Faculty Open Rank

Biostatistician
- Med Faculty Open Rank

The CUNY School of Medicine (CUNY MED) is the only medical school in the City University of New York system. Our innovative curriculum allows students to complete both their undergraduate Bachelor of Science (BS) and Doctor of Medicine (MD) degrees in seven years. CUNY MED graduated its first MD class in 2020. In addition, the CUNY MED offers a two-year Physician Assistant (PA) program to prepare health professionals licensed to practice medicine with physician supervision.

Our mission is
1) to provide access to medical education to talented youth from historically underrepresented in backgrounds in medicine and to develop health professionals committed to practicing in under-served communities and
2) to perform innovative research in community health and biomedicine.

The Department of Community Health and Social Medicine (CHASM) plays a central role in CUNY MED’s mission-driven BS/MD and Physician Assistant programs through its integrated teaching and research initiatives. The department’s curricular responsibilities focus on educating students in the social, economic, political, and behavioral determinants of health and disease, with particular emphasis on population health, health disparities, and health care policy.

CHASM’s research portfolio includes chronic disease epidemiology, health behavior, health policy, health services research, and community-based participatory research.

The Biostatistic faculty member will be either an Assistant, Associate or Full Professor who will play a pivotal role in enhancing the School of Medicine's biostatistical core, complement and deepen our current academic departments bioscience strengths. The Biostatistician will be the academic subject matter expert in Bayesian methods, big data, causal inference, clinical trials, machine learning, mobile health data, real world evidence, public health and medical intervention analysis.

Reporting to the Department Chair of CHASM, the Biostatistician will be responsible for but not limited to the following:

• Developing and leading an extramurally funded research programs in the theory, methods, and/or applications of statistics in health-related fields.
• Initiating and maintaining collaborations with community health, population health and/or clinician scientists and enhance research projects using innovative designs and methods.
• Teaching undergraduate and graduate level courses and advise master's and doctoral students in the biomedical sciences;
  Mentoring students, trainees, and junior faculty.
• Developing and sustaining an extramurally funded research programs, collaborate with other health researchers, contribute to SoM teaching and research development mission.
• Participate in multidisciplinary biomedical and computational collaborations with investigators across the SoM;
  Conduct methodological and applied research in biostatistics.
• Participate in departmental, institutional, and national activities and community organizations related to biostatistics and biomedical sciences.
• Provide biostatistical support for the NIH funded Research Center for Minority Institution.
• Collaborate and provide biostatistical support for grant applications.
• Perform related duties as assigned by the Department Chairperson or designee.

M.D. or Ph.D. in Statistics, Biostatistics, or a closely related field, as well as a record of significant achievement in profession or field of expertise.

• Experience in developing and implementing novel statistical methods, experience collaborating with health scientists, and a passion for teaching and mentoring.
• An extramurally funded research program in areas of particular interest to the School of Medicine, including computational science, population health, and Artificial Intelligence (AI).
• Demonstrated experience in machine learning/Artificial intelligence and Bayesian methods.
• Causal inference for observational, interventional studies, and clinical trials methodology experience.
• Analytical skills of electronic health records and other real-world data is a plus.
• A strong record of peer-reviewed publications and extramural…