The California University of Science and Medicine was founded to help overcome the health disparities experienced by the diverse populations of San Bernardino and Riverside Counties in southern California. The Inland Empire is a medically underserved area ranking in the lower half of all counties in California for physicians per capita. The university strives to recruit students who are from the area and will serve this area upon graduation. The building contains numerous labs, lecture halls, faculty offices, student areas, and an Info Commons space for mostly digital access to references and resources.
The Department of Medical Education
The Department offers a Masters degree in Biomedical Sciences as well as a Doctor of Medicine degree. There are 60 students per year in the masters program and 130 students per year in the MD program. The faculty consist of basic science and clinical instructors, with nearly all of those instructors having terminal degrees. The basic science faculty, clinicians, and students are engaged in research activities. The number and extent of research projects are expected to grow with the introduction of Scholars programs and a Distinction semester into our curriculum this year.
Our faculty are committed to utilizing effective and novel evidence-based teaching strategies to produce excellent, caring, service-oriented physicians. We serve an ethnically and socioeconomically diverse student population. Faculty are extremely supportive of one another and strive to create a collegial, diverse, equitable, and inclusive working environment. The Department has dedicated research and clinical faculty in house as well as over 350 community-based faculty with clinical practices in the surrounding area.
The Biostatistician will work with faculty, research staff, and students to perform statistical analysis and other tasks to support qualitative and quantitative data collection, analysis, and reporting for research projects and scholarly activity.
Information provided below is a general description of responsibilities; it is not intended to provide an all-inclusive list of responsibilities and may change depending on the needs of CUSM.
- Support pre-study planning phase by providing statistical analysis plan for hypothesis testing include confidence limits, power calculations, sample size estimation, sampling methods, study design, data collection, statistical process, etc..
- Contribute strategically to project design regarding protocol development and data collection.
- Provide post-study data analysis and presentation of charts, graphs, tables that describe findings and interpretation of the results.
- Generate, review, or approve sections of statistical analysis in the study reports, manuscript and grant developments, and other reports and submissions.
- When necessary, identify, evaluate, refine, and recommend statistical methods as appropriate to ensure continuous improvement.
- Provide quality control and the evaluation of qualitative and quantitative data sets and problem-solving to ensure high quality analysis.
- Advise and assist in the development of inferences and conclusions, as appropriate to data sets and in support of decision making on educational and health matters.
- Work comfortably with multi-disciplinary projects to ensure the scientific rigor of the projects designs and statistical methods.
- Build and support collaborative relationships with individuals in different disciplines and serves as statistics expert for research teams, internal and external committees, and collaborators.
- Assists in the preparation of clinical trial documents and reports, protocols, investigator brochures, scientific abstracts, peer-reviewed manuscripts, and responses to requests from regulatory agencies, local Institutional Review Board, and grant reports to funding agencies.
- Plan and document computer data file structure, manages and maintains complex data databases, and perform or supervise data entry.
- Establish and maintain advanced statistical software, methods, and techniques collection to gather, analyze, and interpret research data to support faculty and students.
- Develops enhancements to statistical software, as appropriate, by programming new techniques; maintains knowledge of current and emerging trends in statistical analysis methodology
- Teach Masters and medical students the principles of statistics, methods, tools, and data mining skills Work with the faculty and students on the statistical methods and analysis for their research activities to derive useful information from research data sets. When needed, provide training and instruction to faculty basic statistical principles, procedures, and software training.
We are especially interested in qualified candidates who can contribute, through their research, teaching, and service, to the diversity and excellence of the academic community.
Performs miscellaneous job-related duties as assigned.
This is a full-time position.
Rank and salary will be determined educational preparation and experience.
Skills and Abilities
- Knowledge of scientific approach and methodologies.
- Knowledge and understanding of the principles, concepts, methods, and standards of statistical research.
- Ability to apply a range of advanced statistical techniques in support of scientific research studies and/or experiments.
- Ability to process computer data and to format and generate reports.
- Ability to consult with scientific investigators, interpret research requirements, and determine statistical analysis strategies.
- Ability to plan, create, program and manage complex statistical computer databases.
- Ability to analyze, interpret, and draw conclusions from complex statistical information.
- Knowledge of current and emerging trends in advanced statistical analysis for scientific application.
- Knowledge of SAS programming and/or other statistical software.
- Knowledge of scientific reporting and manuscript preparation requirements and standards.
- Ability to work in a team environment to design, analyze, and report on research projects.
- Strong analytical communication, critical thinking and problem-solving skills.
- Ability to provide technical guidance and leadership to professional personnel in area of expertise.
- Excellent time management skills and ability to prioritize projects.
- In-depth knowledge and understanding of probability and medical statistics theory.
- Knowledge of data management principles and regulatory requirements for clinical trials and medical research.
- Strong focus and quality and timely delivery of work
- Master's degree; at least 3 years of experience directly related to the duties and responsibilities specified.
- Completed degree(s) from an accredited institution that are above the minimum education requirement may be substituted for experience on a year for year basis.
- Documentation of relevant scholarly and research activity
- Teaching experience in the health professions
- PhD in Biostatistics
- Familiarity of the Family Educational Rights and Privacy Act (FERPA) (20 U.S.C. § 1232g; 34 CFR Part 99). This law applies to all schools that receive funds under an applicable program of the U.S. Department of Education
- General Office Environment
- Occasional lifting, carrying, bending, pushing and/or pulling. Significant fine finger dexterity Sitting – 50% Walking – 25% Standing – 25%