The Department of Genome Sciences at the University of Virginia is seeking a candidate for the role of Computational Data Analyst in 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 37 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, 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 Qualifications:
Education: Bachelor's degree, relevant experience may be considered in lieu of a degree.
Experience: 1-2yrs
Preferred Qualifications:
MS in a quantitative discipline (e.g., Bioinformatics, Computational Biology, Engineering).
Experience with 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.
This position is a restricted position and is dependent upon project need, availability of funding and performance. This is an Exempt level, benefited position. For more information on the benefits at UVA, visit hr.virginia.edu/benefits.
This position will remain open until filled. The University will perform background checks on all new hires prior to employment. A completed pre-employment health screen is required for this position prior to employment.
References will be completed via UVA’s standardized process Skill Survey. A total of five references will be requested via SkillSurvey during the final phase of the interview process.
Physical Demands:
This position is located in Charlottesville, VA
To Apply:
Please apply through Careers at UVA , and search for R0068608.
Internal applicants must apply through their UVA Workday profile by searching 'Find Jobs.'
Complete an application online with the following documents:
CV
Cover letter
Upload all materials into the resume submission field, multiple documents can be submitted into this one field. Alternatively, merge all documents into one PDF for submission. Applications that do not contain all required documents will not receive full consideration.
For questions about the application process, please contact Yelena Markazyan, Academic Recruiter at ym3mm@virginia.edu
For more information about UVA and the Charlottesville community please see http://www.virginia.edu/life/charlottesville and https://embarkcva.com/
The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex, pregnancy, sexual orientation, veteran or military status, and family medical or genetic information.