Temporary Bioinformatics Data Scientist Jobs in Raleigh, NC

• Design, build, and maintain enterprise-grade database systems that support longitudinal and protocol-driven translational research programs.
• Develop scalable data management solutions using REDCap, SQL, Python, R, and web-based technologies.
• Architect relational database structures that ensure biospecimen traceability, chain-of-custody accountability, and regulatory compliance throughout the research lifecycle.
• Create automated workflows and data pipelines that improve operational efficiency, harmonize research protocols, and maintain data integrity.
• Develop intuitive dashboards, reporting tools, and self-service research portals that enable investigators, trainees, and collaborators to identify available specimens and associated clinical data.
• Support department-wide and Duke Cancer Institute clinical research initiatives through robust data infrastructure development.

• Design and execute advanced bioinformatic workflows for genomic, transcriptomic, single-cell, and other high-dimensional molecular datasets.
• Develop custom analytical pipelines in R and Python that transform complex biological data into actionable scientific insights.
• Perform quality control, statistical modeling, and exploratory analyses for translational research projects.
• Generate publication-quality visualizations, figures, and analytical summaries that support scientific manuscripts, presentations, and grant submissions.
• Apply advanced computational methods to integrate and interpret multi-omic datasets.
• Develop innovative analytical approaches that accelerate discovery and support competitive external funding opportunities.

• Partner with investigators to develop analytical plans and research strategies for translational studies.
• Collaborate with faculty, postdoctoral fellows, trainees, and research teams to answer complex scientific questions using large-scale clinical and molecular datasets.
• Translate technical findings into clear, actionable insights for both technical and non-technical stakeholders.
• Support development of data-driven research proposals, abstracts, manuscripts, and scientific presentations.
• Contribute to data sharing initiatives and reproducible research practices that increase the impact of scientific discoveries.

• Ensure adherence to IRB requirements, FDA regulations, NIH data-sharing requirements, and institutional research policies.
• Lead development, implementation, and maintenance of standard operating procedures supporting biospecimen collection, processing, storage, and reporting.
• Maintain audit-ready documentation and data management practices across multiple active research protocols.
• Serve as a key liaison between clinical research operations, laboratory teams, data scientists, and investigators.
• Facilitate seamless integration between clinical trial activities and laboratory-based translational research workflows.
• Promote best practices in data governance, security, quality assurance, and research compliance.

• Train, mentor, and support research staff, trainees, and laboratory personnel on technical systems, bioinformatic workflows, and data management processes.
• Provide operational leadership across multiple concurrent translational research initiatives.
• Foster a culture of collaboration, innovation, continuous learning, and scientific excellence.
• Identify emerging technologies and process improvements that enhance research productivity and scientific impact.
• Serve as a subject matter expert in translational research data systems, bioinformatics, and biospecimen operations.

• Bachelor's degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Biomedical Informatics, Molecular Biology, Public Health, or related scientific discipline, or equivalent combination of education and experience.
• Experience developing and managing complex research databases and translational research data systems.
• Strong programming experience using R, Python, SQL, and related analytical tools.
• Experience supporting clinical, translational, or biomedical research environments.
• Demonstrated ability to manage multiple projects while maintaining exceptional attention to detail and regulatory compliance.

• Advanced degree (Master's or PhD) in a scientific, quantitative, or computational discipline.
• Experience supporting cancer research, translational medicine, precision medicine, or biobank programs.
• Expertise with REDCap administration, API integrations, workflow automation, and database architecture.
• Experience with single-cell sequencing, RNA-seq, TCR sequencing, microbiome analysis, or other next-generation sequencing workflows.
• Knowledge of NIH data management and sharing requirements.
• Experience supporting grant development, manuscript preparation, and scientific publication activities.

• Programming & Development: R, Python, SQL, HTML, web applications, workflow automation.
• Database Systems: REDCap, PostgreSQL, SQL Server, relational database design, APIs, data integration.
• Bioinformatics: RNA-seq, single-cell analysis, TCR sequencing, differential expression analysis, multi-omic integration.
• Data Visualization: Advanced graphical reporting, dashboards, publication-quality figures.
• Research Compliance: IRB regulations, biospecimen governance, NIH Data Management & Sharing Plans, SOP development.
• Scientific Computing: Statistical modeling, reproducible research practices, high-dimensional data analysis.

• Strategic thinking
• Scientific problem solving
• Technical innovation
• Database architecture
• Bioinformatics expertise
• Cross-functional collaboration
• Regulatory compliance
• Project leadership
• Mentorship and training
• Communication and scientific storytelling

Anticipated Pay Range: Duke University provides an annual base salary range for this position as USD $61,026.00 to USD $98,439.00. Duke University considers factors such as (but not limited to) scope and responsibilities of the position; candidate's work experience, education/training, and key skills; internal peer equity; as well as market and organizational considerations when extending an offer.