Position Summary:
We are seeking a highly motivated and detail-oriented Research Scientist in Bioinformatics to join our multidisciplinary research team. The successful candidate will lead and support projects involving high-throughput data analysis, data mining, biostatistics, and management of research data. In addition to analytical responsibilities, the role involves assisting with data inventory and IRB-related documentation.
Key Responsibilities:
Analyze high-throughput datasets (e.g., genomics, transcriptomics, proteomics) using appropriate bioinformatics and statistical tools
Perform data mining and integration across large, multidimensional datasets
Contribute to experimental design and statistical analysis plans for ongoing and new research projects
Maintain accurate data records and contribute to the organization of research data inventory systems
Assist in the preparation and management of IRB protocols and other regulatory documents
Contribute to manuscript and grant preparation; co-author scientific publications
Collaborate effectively with lab members, clinical investigators, and external collaborators
Present research findings in internal meetings and at scientific conferences
Qualifications:
Masters degree (or higher) in Bioinformatics, Computational Biology, Biostatistics, Data Science, or a related field
At least 5 years of research experience in an academic, clinical, or industry setting
Demonstrated proficiency in R, Python, or other statistical/programming languages
Strong publication track record in peer-reviewed journals
Experience with common bioinformatics tools, databases, and pipelines
Familiarity with IRB protocol preparation and regulatory compliance processes is a plus
Excellent organizational and multitasking skills
Strong communication skills and the ability to work both independently and collaboratively
MINIMUM REQUIREMENTS
Education: Requires a doctoral degree or master's degree with significant experience.
TO APPLY
Please apply HERE , and search for requisition R0074897.
Internal applicants must apply through their UVA Workday profile and search Find Jobs, and search for requisition R0074897.
Complete a candidate profile online; attach a cover letter, resume, and contact information for three references.
Incomplete applications will not be given consideration.
For questions regarding the application process, please contact Eric Allen, Academic Recruiter, at ... .
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 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 UVAs commitment to non-discrimination and equal opportunity employment.