Job description

Job Title: Biostatistician
Location: Case Main Campus
Regular/Temporary: Regular
Full/Part Time: Full-Time
Job ID: 8637

Working under the supervision of the Principal Investigator, the data analyst will play an active role in all aspects of research projects (data analysis, data management and report generation) that utilize statistical approaches to understand high-throughput -omics data. The analyst is responsible for the analysis of data from a variety of sources to support research projects and other efforts, within the School of Medicine, in other parts of the university, as well as with partner institutions (e.g., Cleveland Clinic). Data types mainly include but not limited to high-throughput bioinformatics data (e.g., RNA-seq, ChIP-seq, BS-seq, scRNA-seq, etc.). The analyst will be integrally involved in research project design, statistical methods development, data analysis, and preparation of research reports.


    In collaboration with investigators, under the guidance of the supervisor, conduct data analyses. Identify the optimal statistical analytical method(s), derive the variables of interest, and construct the analytic data set. (35%)Under the guidance of the supervisor, develop novel statistical methods for analyzing high-throughput data. (30%)Independently, design, write, debug, test, and document statistical programs using standard statistical software such as R or SAS. (15%)With minimal guidance, carry out writing, output interpretation, and other tasks associated with manuscript and proposal preparation. (10%)Prepare documentation for all the steps involved in preparing the analytic file, including version control, and create archival datasets for later use by the investigators. (5%)Provide consultation for investigators working on large dataset in the areas of study design and data analysis. (5%)


    Define work flows and data flows associated with research projects and other projects as assigned. Perform other duties as assigned.


Department: Daily contact with department faculty and staff.

University: Frequent contact with faculty, research staff, and other staff who are involved in assigned projects.

External: Regular contact with outside consultants and representatives of funding entities.

Students: Occasional contact with, or supervision of, students, especially those who on projects that entail the above data sources.


No direct supervision of staff or student employees.


Experience: 0 to 2 years of experience in working with the high-throughput data types listed above and knowledge of biology as it pertains to these data. This experience should include statistical analysis, statistical programming, and statistical methods evaluation and development.

Education/ Licensing: Master’s degree in biostatistics, statistics, computational biology or related field required.


    Prior familiarity with high-throughput data is vital to this position. Prior solid training in statistical theories and applications.Proficiency in statistical programming in R. Demonstrated knowledge in Unix- or Linux-based environment.Ability in using High-Performance Computing (HPC).Statistical skills for data analysis. Statistical skills for analysis of multivariate data and production of graphical output preferred.Ability to learn new technologies quickly.Excellent written and verbal English communication skills required.Strong background/understanding of medical terminology, and clinical/translational/basic are preferred.Accountability/integrity, customer/quality focus, diversity/maturity, flexibility/receptivity, interpersonal relations, initiative, planning/organizing, problem solving, decision making, project management, self-development, teamwork.Ability to meet consistent attendance. Ability to interact with colleagues, supervisors, and customers face to face.


General office environment. Work requires regular use of a computer keyboard and mouse. Limited manual dexterity required. Work requires negligible physical exertion. No exposure to hazards.

Diversity Statement

In employment, as in education, Case Western Reserve University is committed to Equal Opportunity and Diversity. Women, veterans, members of underrepresented minority groups, and individuals with disabilities are encouraged to apply.


Reasonable Accommodations

Case Western Reserve University provides reasonable accommodations to applicants with disabilities. Applicants requiring a reasonable accommodation for any part of the application and hiring process should contact the Office of Equity at 216-368-3066 to request a reasonable accommodation. Determinations as to granting reasonable accommodations for any applicant will be made on a case-by-case basis.





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Job No:
Posted: 1/16/2021
Application Due: 7/6/2021
Work Type: Full Time