Biostatistician, Department of Genome Sciences
About The Position
The Department of Genome Sciences at the University of Virginia (UVA) invites applications for a Biostatistician. This position will focus on managing large datasets, developing and applying statistical methods, machine learning approaches, and AI-driven computational tools. The Biostatistician will work under the supervision of Dr. Ziqiao Wang and there will be opportunities to collaborate with the Department of Data Science, Department of Statistics, and UVA Comprehensive Cancer Center. Additional information on research projects and recent publications can be found on the lab’s website (https://ziqiaow.github.io). Key Responsibilities Perform data analyses using statistical software (e.g., R, Python) Manage large-scale datasets (including genetics, omics, clinical characteristics Contribute to manuscript preparation Minimum Qualifications Education: Master's degree in Biostatistics, Statistics, Computer Science, Data Science, Bioinformatics, or a related quantitative field Preferred Qualifications At least 1 year of data analysis experience in statistical genetics or genomics Proficiency in statistical programming (e.g., R, Python) The ability to manage large datasets Experience with biobanks such as the UK Biobank and All of Us, or public datasets such as TCGA A collaborative mindset and good communication skills Physical Demands This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs. The anticipated hiring range is $65,000–$75,000, commensurate with education and experience. This is an exempt-level, benefited position. Learn more about UVA benefits. This is a restricted position, which is dependent on funding and is contingent upon funding availability. This is a 12-month appointment after which continued employment will depend on satisfactory performance, department need, and funding. This position is based in Charlottesville, VA, and is eligible for a hybrid schedule of 3-4 days on grounds per week, with additional on-site presence as needed, in accordance with UVA’s remote work guidelines. To learn more about UVA and the Charlottesville area, visit UVA Life and Embark CVA. Application review will begin after February 9, 2026. Applications received by February 28, 2026, will be given priority review. Background checks and pre-employment health screenings will be conducted on all new hires prior to employment. How to Apply Please apply online, by searching for requisition number R0080295. Complete an application with the following documents: Resume (required) Cover letter (required) Academic transcripts (optional) Upload all materials into the resume submission field. You can submit multiple documents into this one field or combine them into one PDF. Applications without all required documents will not receive full consideration. Internal applicants: Search and apply for jobs on the UVA Internal Careers website. Reference checks will be completed by UVA’s third-party partner, SkillSurvey, during the final phase of the interview. Five references will be requested, with at least three responses required. For questions about the position, please contact Dr. Ziqiao Wang, [email protected]. For questions about the application process, please contact Jessica Russo, Senior Recruiter, [email protected]. The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA’s commitment to non-discrimination and equal opportunity employment.
Requirements
- Master's degree in Biostatistics, Statistics, Computer Science, Data Science, Bioinformatics, or a related quantitative field
Nice To Haves
- At least 1 year of data analysis experience in statistical genetics or genomics
- Proficiency in statistical programming (e.g., R, Python)
- The ability to manage large datasets
- Experience with biobanks such as the UK Biobank and All of Us, or public datasets such as TCGA
- A collaborative mindset and good communication skills
Responsibilities
- Perform data analyses using statistical software (e.g., R, Python)
- Manage large-scale datasets (including genetics, omics, clinical characteristics
- Contribute to manuscript preparation
Benefits
- This is an exempt-level, benefited position.
- Learn more about UVA benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
