Senior Bioinformatician Data Analyst, Department of Genome Sciences

The Department of Genome Sciences at the University of Virginia is seeking a candidate for the role of Senior Biostatistician Data Analyst in the Miller Lab . This is an outstanding opportunity to gain practical experience implementing advanced bioinformatics and computational genomics tools in a unique collaborative setting and to establish a deeper understanding of precision medicine. In addition, you will contribute to published manuscripts and engage in international conferences with multidisciplinary academic and industry experts.

Founded in 1819 by Thomas Jefferson, the University of Virginia (UVA) is renowned for its commitment to advancing human knowledge, educating leaders, and cultivating an informed citizenry. The Department of Genome Sciences (formerly Center for Public Health Genomics) addresses fundamental questions in biology, public health, and medicine by developing and applying state-of-the-art genetic, genomic, and computational approaches to complex human diseases. The Miller Lab focuses on unravelling cardiovascular diseases by integrating large-scale human genetics, single-cell/spatial multi-omics, and data science approaches.

UVA is a member of an international consortium, NextGen , recently funded by the European Union and includes 22 partners from academia and industry. In NextGen, we are building novel and synergistic tools to enable portable multimodal, multiomic and clinically oriented research in high-impact areas of cardiovascular medicine. NextGen tools will benefit researchers, innovators and healthcare professionals by identifying and overcoming health data linkage barriers in exemplar use cases which are complex or intractable with existing technology. Consequently, it will benefit patients, providing faster diagnosis, and more targeted treatments.

The successful candidate will be expected to:

• Apply single-cell and spatial genomic data analyses to develop and benchmark pipelines for a pan-vascular tissue atlas of atherosclerosis.

• Utilize expertise in bioinformatics, statistics, data science, and machine learning to infer novel cell states, gene regulatory networks, and druggable protein targets.

• Enhance understanding of disease-associated genes, signaling pathways, and regulatory mechanisms for coronary artery disease (CAD).

• Develop precise targeting strategies and risk profiles for causal disease pathways underlying CAD and related cardiometabolic diseases.

• Work with your PI, lab members and other collaborators to curate human single cell and multi-omics datasets and apply automated pipelines to refine cell states and disease trajectories

• Work with your PI, lab members and collaborators to refine AI/ML models to predict gene perturbations, regulatory networks and treatment responses

• Develop new user-friendly web interfaces to explore datasets and AI/ML predictions

• Communicate results through peer-reviewed publications, internal and external presentations, conferences, and websites

Minimum Requirements:

Education: Master's degree
Experience: Five years of related experience.

Preferred Qualifications:

• MS or PhD in a quantitative discipline (e.g., Bioinformatics, Statistics, Computational Biology, Engineering).

• Experience in analyzing genomics or multi-omics datasets.

• Proficiency in data analysis and computational modeling using R, Python, Bash, etc.

• Experience with automated pipelines and workflows (HPC, GitHub, Docker).

• Strong understanding of biology, physiology, human genetics, and machine learning.

• Excellent communication skills for both technical and broad audiences.

• Demonstrated ability to innovate and solve complex problems.

• Strong networking and teamwork 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.

Salary will be 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. Current funding is available for 3 years, however it is expected that the candidate will contribute to successful grant applications.

This position is based in Charlottesville, VA, and must be performed fully on-site.

To learn more about UVA and in the Charlottesville area, visit UVA Life and Embark CVA .

This position will remain open until filled. Background checks and pre-employment health screenings will be conducted on all new hires prior to employment.

This position will not consider candidates who require immigration sponsorship at this time.

Please apply online , by searching for requisition number R0072955. Complete an application with the following documents:

• Resume
• Cover Letter

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: Apply through your Workday profile by searching “Find Jobs.”

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 application process, please contact Jessica Russo, Senior Recruiter at sxv9zv@virginia.edu .

The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Click here to read more about UVA’s commitment to non-discrimination and equal opportunity employment.