Assistant​/Associate Faculty, Biostatistics

Title

Assistant/Associate Faculty, Biostatistics

Job Classification

Faculty, Exempt

Department Name

Medical Education

Supervisor

Chair of Medical Education

This position is available immediately and will remain open until filled. Candidates must be able to work on campus.

Under the general direction of the Chair of Medical Education, the faculty member is responsible for teaching, research, and research support activities that advance the institution's educational and scholarly missions. California University of Science and Medicine School of Medicine (CUSM-SOM) offers educational programs, including the Doctor of Medicine (MD) and the Master of Biomedical Sciences (MBS) program and supports research initiatives through centers such as the Center for Brain and Behavioral Health.

The faculty member will provide instruction in statistical theory, biostatistics, bioinformatics, and research methods, including study design, data analysis, interpretation of quantitative findings, and scientific reporting. Areas of application include observational studies, clinical trials, computational and quantitative analysis, medical and public health research, and related disciplines. Teaching responsibilities include coursework within the MD and MBS programs, facilitation of scholarly programs and activities, delivery of co-curricular workshops, and faculty development programs.

The faculty member fosters students' ability to apply quantitative methods and communicate effectively with researchers and healthcare professionals across disciplines.

In addition to teaching responsibilities, the faculty member provides direct statistical and data analysis support through the Office of Medical Education data analysis Lab, collaborating with students, faculty, research staff, and clinical partners to support qualitative and quantitative data collection, analysis, interpretation, and dissemination of research and scholarly work.

The faculty member also engages in independent and collaborative research activities aligned with CUSM's strategic priorities, contributing to the generation, dissemination, and application of knowledge that advances healthcare education and outcomes.

• Teach MD and MBS students about the principles of biostatistics, research methods, tools, data mining and collection, data analysis, research methodology, and preparation of research results in various courses in the respective curricula.
• Contribute to curricular assessment tools.
• Facilitate co-curricular programs in biostatistics, data analysis, or related fields.
• Provide training and instruction to faculty members and clinical partners on basic statistical principles, procedures, data collection/management, preparing research results, and software training.
• Create and administer biostatistics and/or data analysis of skill-building sessions, workshops, and programmatic modules targeting CUSM students, faculty, and clinical partners.
• Learn and teach the use of AI in research, research methods, analysis, and dissemination.
• Other duties as assigned.

• Support data analysis programming and services, such as providing direct statistical or data analysis support to students, staff and faculty.
• Contribute to studies using advanced statistical methods to answer questions of public health using a mixture of institutional clinical data and large nationwide datasets.
• Generate and interpret statistical outputs through presentations, reports, figures, and tables.
• Provide support for faculty research needs and assist faculty in quantitative and/or qualitative research projects related to community, basic science, and clinical disciplines.
• Build and support collaborative relationships with individuals in different disciplines and serve as a statistics expert for research teams, internal and external committees, and collaborators.
• Collaborate with faculty and students on the statistical methods and analysis for their research activities, addressing strategies and methods to generate research questions and build scientific hypotheses from research data sets.
• Appropriately use AI in research support activities.