Assistant Professor (non-tenure track Biostatistician/Quantitative Epidemiologist) at Albany Medical Center | New York, US | Rezi

Assistant Professor (non-tenure track Biostatistician/Quantitative Epidemiologist) at Albany Medical Center

Assistant Professor (non-tenure track Biostatistician/Quantitative Epidemiologist)

Albany Medical Center · New York, US

2 days ago

Assistant Professor (non-tenure track Biostatistician/Quantitative Epidemiologist)

Albany Medical Center · New York, US

2 days ago
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About the Role

Albany Medical College is seeking a motivated individual for a Research Assistant Professor position specializing in Biostatistics and/or Quantitative Medical and Health Sciences Epidemiology. This entry-level faculty role is ideal for early-career researchers or recent graduates aiming for a career in academic medicine and clinical research. The successful candidate will contribute expertise in statistical analysis, study design, and data interpretation within a collaborative, interdisciplinary environment focused on patient-centered and basic science research.

Responsibilities

  • Collaborate with faculty and research teams to design, implement, and analyze clinical and basic research studies, including observational studies, clinical trials, surveys, and retrospective analyses using national databases, EHRs, and claims data.
  • Provide expertise in experimental design, biostatistics, and data interpretation.
  • Contribute to grant writing, manuscript preparation, and dissemination of research findings.
  • Mentor medical students, residents, and fellows in research methodology and statistical analysis.
  • Participate and co-lead courses on experimental design and analysis for medical and graduate students.
  • Participate in departmental seminars, journal clubs, and academic development activities.
  • Provide consultative services for investigators in research project design, from conceptualization to completion, including sample size calculations.
  • Offer statistical consultation to hospital administration on quality improvement projects, disease control procedures, and the development of quality initiatives based on hospital data.

Requirements

  • Master’s or PhD in Epidemiology, Biostatistics, Public Health, or a related quantitative field.
  • Demonstrated experience in statistical software (e.g., R, SAS, STATA, or Python).
  • Demonstrated strong analytical, communication, and organizational skills.
  • Demonstrated strong foundation in quantitative research methods and data interpretation.

Skills

  • Statistical analysis
  • Study design (observational studies, clinical trials)
  • Interpretation of complex health data
  • Experimental design
  • Biostatistics
  • Data interpretation
  • Grant writing
  • Manuscript preparation
  • Research methodology
  • Statistical analysis
  • Quantitative research methods
  • R
  • SAS
  • STATA
  • Python

Location

  • Albany, New York

Work Type

  • Full-time
  • Onsite

Experience Level

  • Entry-level
  • Early-career

Education Level

  • Master's degree
  • PhD

Salary/Compensations

  • $0.00 - $0.00

About the Company

  • Albany Med Health System is an equal opportunity employer.
  • This role may require access to information considered sensitive to Albany Med Health System, its patients, affiliates, and partners, including but not limited to HIPAA Protected Health Information and other information regulated by Federal and New York State statutes.
  • Workforce members are expected to ensure that access to information is based on a “need to know” and is the minimum necessary to properly perform assigned duties.
  • Use or disclosure shall not exceed the minimum amount of information needed to accomplish an intended purpose.
  • Reasonable efforts, consistent with Albany Med Health System policies and standards, shall be made to ensure that information is adequately protected from unauthorized access and modification.

Equal Opportunity

  • Albany Med Health System is an equal opportunity employer.
  • Commitment to diversity, equity, and inclusion in academic medicine.
  • Commitment to fostering an inclusive and collaborative academic environment.