Senior Data Analyst

University of Virginia; Charlottesville (VA); Remote; USD 60,000 - 90,000; Full time

Job summary

An established industry player is seeking a Senior Data Analyst to join their dynamic team in Charlottesville. In this role, you will leverage your expertise in molecular biology and bioinformatics to analyze complex data sets, draw actionable conclusions, and support strategic initiatives. Your proficiency in R coding and data visualization will be essential in communicating findings effectively to stakeholders. This position offers the opportunity to work collaboratively with a talented team while contributing to impactful projects. Embrace the chance to make a difference in a forward-thinking organization that values diversity and innovation.

Qualifications

• Master's or Bachelor's degree in a relevant field with required experience.
• Proficiency in R coding and bioinformatics analysis.

Responsibilities

• Analyze data to provide sophisticated analysis and reports.
• Create visualizations and presentations for strategic decision-making.

Skills

R coding

Genomic sequence analysis

Molecular biology techniques

Bioinformatics analysis

Statistical analysis

Mass spectrometry methods

Data visualization

Database management

Education

Master’s degree in Biology

Bachelor’s degree in Biology

Tools

Github

Bioconductor

Python-based tools

Job description

The University of Virginia seeks a Senior Data Analyst in Charlottesville, Virginia.

Summary of Duties:

The Senior Data Analyst is responsible for analyzing data to draw conclusions and provide sophisticated analysis and reports. Support efforts to develop and maintain data standards. Assist in business and system re-engineering and architecture development. Act as an organizational consultant on database matters. Serve as a subject matter expert in special projects related to specific data types.

Perform molecular biology techniques such as molecular cloning, RT-PCR, protein interaction assays (e.g., ELISA), and other cell-based assays. Maintain bacterial and mammalian cell cultures. Conduct statistical analysis using R or other packages. Perform bioinformatic analysis utilizing packages like Bioconductor or Python-based tools. Collaborate with laboratory team members to develop functional protein assays. Analyze data to identify, interpret, and report trends or patterns, providing actionable recommendations.

Create visualizations, reports, and presentations to communicate findings effectively for strategic and programmatic decision-making. Develop content for seminars, forums, and presentations, ensuring data is accessible and understandable for stakeholders. Ensure compliance with data management policies, including security and privacy standards. Conduct bioinformatics analyses. Remote work is permitted.

Qualifications:

• Master’s degree in Biology, Biotechnology, or a related field with at least one (1) year of relevant experience, or
• Bachelor’s degree in Biology, Biotechnology, or a related field with three (3) years of relevant experience.

Required experience includes proficiency with Github, R coding, genomic sequence analysis, and mass spectrometry methods such as ESI and MALDI. Experience with molecular biology and analytical assays, result presentation, and bioinformatics analysis is also required.

To Apply:

Apply online at https://jobs.virginia.edu/us/en/ using requisition R0071858. Internal applicants should apply through their Workday account. Upload a CV/resume upon application.

For questions about the position, contact Gloria Sheynkman at [e-mail]. For application process inquiries, contact Eric Allen at [e-mail].

The University of Virginia, including UVA Health System, UVA Medical Center, Schools of Medicine and Nursing, UVA Physicians Group, and the Claude Moore Health Sciences Library, is committed to diversity and equal opportunity employment. All qualified applicants will receive consideration 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, or family medical or genetic information.