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Case Western Reserve University – Biostatistician
Company NameCase Western Reserve University
Position TitleBiostatistician
Company Information
The objective of the position is to provide metagenomic sequence processing, statistical design and analysis, data management, high-quality visualization, and software and website development support to data-enhanced and omics-driven biomedical research. The analyst will play a leadership role in all aspects of data analyses, data management and report generation for these research projects. The analyst will be integrally involved in all aspects of research project design, computational implementation, preparation of research reports and grant applications. This position functions under minimal supervision.
The CWRU SOM is affiliated with some of the best hospitals in the United States, such as University Hospitals Case Medical Center (UHCMC), Cleveland Clinic Foundation (CCF), The Metro Health System (MHS) and Louis Stokes Cleveland Department of Veterans Affairs Medical Center. Through these partnerships, cutting-edge technologies, research facilities and collaborative opportunities are accessible to our research team. The recruited candidate will have chances to work with researchers in the Case Comprehensive Cancer Center (CCCC), Cleveland Alzheimer’s Disease Research Center (CADRC), Case Western Reserve University AIDS Research (Case CFAR), The Cleveland Functional Electrical Stimulation (FES) Center, and Cleveland Clinics Foundation (CCF).
Duties and Responsibilities
1. Metagenomic sequence processing – Execute metagenomic data processing workflows using established bioinformatics pipelines. This includes running standard tools for quality control, taxonomic and functional profiling, and downstream analysis following documented procedures. The individual will routinely submit and manage batch jobs on high-performance computing (HPC) systems, monitor job status, troubleshoot errors, and ensure efficient pipeline execution. The role also involves organizing output files, maintaining reproducible workflows, and communicating results to the research team.
2. Study Design – Work with the Principal Investigator and with other investigators on the projects to develop appropriate methodologies for addressing study hypotheses. Participate in the research design phase of projects and in the preparation of research proposals for funding. This work will be comprehensive and will include developing approaches for data management, assuring the integrity of the data, and methods for implementing data analysis.
3. Data Analysis – Perform statistical programming and analysis for multiple research studies. Create analytic datasets, summarizes data and creates reports. Work with other team members to develop and implement analytic approaches including but not limited to dimension reduction, multiple linear regression, testing procedures, clustering methods, and so on. Assess appropriateness of final statistical models. Document methods and results via written memoranda and reports.
4. Data Management – Design, develop, and maintain appropriate databases, such as microbiome data across body sites. Develop programs to ensure data integrity (e.g., logic and range checks). Perform intermediate statistical programming for quality assurance. Develop efficient data archival systems for use and maintains detailed written documentation of all data programming and data archival systems.
5. High-quality visualization – Create a wide range of graphical outputs—such as taxonomic summaries, heatmaps, ordination plots, pathway diagrams, and interactive visual dashboards—using tools like R (ggplot2), Python (matplotlib, seaborn), or web-based platforms. The individual will translate complex analytical results into intuitive visual formats for manuscripts, presentations, lab meetings, and collaborator reports. Ensuring visual consistency, scientific accuracy, and adherence to data-visualization best practices is essential.
6. Software and website development – Write clean, efficient, and well-documented code in languages such as R and Python; implementing modular functions and reproducible analytical workflows; and managing version control using Git. The individual will translate research needs into functional software packages, optimize computational performance, and ensure reliability across computing environments. In addition, the role involves creating and maintaining lightweight websites or interactive dashboards—using HTML/CSS, JavaScript, R Shiny, or similar frameworks—to present analytical results, support data visualization, and disseminate methods and documentation. Ensuring usability, responsiveness, and clarity in both software tools and web interfaces is essential to support the laboratory’s research and collaborative projects.
7. Prepare Research Reports – Assist in the writing and preparation of research papers, including internal documentation, academic publication and research presentations at conferences and meetings.
8. Development of Educational Opportunities – Work with other personnel to develop workshops and written materials to assist graduate students to learn about methodological and programming issues involved in working with population-based data, with emphasis on data management and reporting.
Position Qualifications
Experience: 3 years of work experience in an increasingly responsible position in biomedical research or social science research environment housed in a university, nonprofit research organization or similar setting.
Education/licensing: A Master's degree in computer science, computational biology, biotechnology, biology, bioinformatics, biostatistics, statistics, or related degree is required.
REQUIRED SKILLS
1. Close familiarity and ability to work with genomics, radiomics data and other biomedical data
2. Ability to work semi-independently with direct but limited guidance
3. Highly organized, with decision-making skills
4. Ability to work and communicate knowledgably in collaboration with other team members including statisticians, investigators, clinicians, and programmers
5. Excellent oral and written communication skills, flexibility and the ability to interact with a diverse and large research team
6. Desirable skills include background/understanding of medical terminology, and clinical/translational research
7. Hands-on experience in LotusNotes, Web databases or related collaborative task management apps
8. Ability to use Microsoft office products such as Word, Power Point, Excel and Access
9. Ability to use OverLeaf, GitHub, BioRender, Adobe Illustrator
10. Ability to use software packages and websites, such as R, Python, R Quarto, GitHub, Bioconductor, and R CRAN
Salary Range55,000-70,000
Benefits
To view salary ranges or Salary Administration Attachments, please copy and paste the following address in your web browser: https://case.edu/hr/compensation/salary/salary-structure
Please view the benefits through the link https://case.edu/hr/benefits
Visa: If needed, we will work with University’s Immigration Office to obtain the appropriate visa for employment.
Application Instructions
Interested applicants should send the following materials to the Email address: lxz716@case.edu.
1. A cover letter,
2. A brief statement of research interest,
3. Curriculum Vitae,
4. Transcripts,
5. Sample codes from recent programming,
6. Publication reprint or research draft
7. Contact information of at least three references.
Review of applications starts immediately. Applications will be considered until the position is filled.