Support strategy, evolution, and adoption of enterprise bioinformatics platforms and data solutions for public health initiatives.
Compensation
Market competitive salary, commensurate with experience and education
Responsibilities
Collaborate with scientists, public health stakeholders, and technical teams to elicit, analyze, and document business, scientific, operational, and technical requirements for bioinformatics platforms and tools.
Develop and maintain use cases, user stories, acceptance criteria, functional requirements, and non-functional requirements that support bioinformatics and data platform initiatives.
Partner with product managers, architects, and technical leads to define, prioritize, and refine platform capabilities, enhancements, and strategic roadmaps.
Coordinate activities across bioinformatics, data science, engineering, cloud, and infrastructure teams to ensure alignment, dependency management, and successful solution delivery.
Support Agile ceremonies including backlog refinement, sprint planning, Scrum of Scrums, and Program Increment (PI) planning while tracking requirements, risks, dependencies, and delivery progress.
Requirements
Bachelor's degree in bioinformatics, computational biology, genomics, or a related field
Nice to have: Master's degree in bioinformatics, computational biology, genomics, or a related field
An experienced computational scientist to lead bioinformatics strategy and analysis for minimally invasive and multimodal biomarkers, focusing on ctDNA and oncology applications.
Compensation
The annual base pay for this position ranges from $181,570.40 - $272,355.60 USD Annual.
Responsibilities
Lead bioinformatics strategy and hands-on analysis for genomic and ctDNA biomarker studies across discovery, translational research, and clinical development.
Develop, evaluate, and apply reproducible workflows for sequencing quality control, variant detection, copy-number and other genomic analyses, ctDNA quantification, molecular response, and longitudinal disease monitoring.
Design rigorous benchmarking studies to compare assays, computational pipelines, calling thresholds, and analytical approaches.
Build statistical, predictive, and mechanistic models that integrate genomic, ctDNA, clinical, and other biomarker data.
Define fit-for-purpose analysis plans, performance metrics, validation criteria, and standards for reproducibility.
Lead bioinformatics strategy and analysis for genomic and ctDNA biomarker studies across discovery, translational research, and clinical development.
Compensation
The annual base pay for this position ranges from $181,570.40 - $272,355.60 USD Annual.
Responsibilities
Lead bioinformatics strategy and hands-on analysis for genomic and ctDNA biomarker studies across discovery, translational research, and clinical development.
Develop, evaluate, and apply reproducible workflows for sequencing quality control, variant detection, copy-number and other genomic analyses, ctDNA quantification, molecular response, and longitudinal disease monitoring.
Design rigorous benchmarking studies to compare assays, computational pipelines, calling thresholds, and analytical approaches using reference materials, orthogonal methods, tissue–plasma comparisons, and clinical datasets.
Build statistical, predictive, and mechanistic models that integrate genomic, ctDNA, clinical, and other biomarker data to generate actionable biological insights and support development decisions.
Define fit-for-purpose analysis plans, performance metrics, validation criteria, and standards for reproducibility, traceability, statistical rigor, and scientific interpretation.
Requirements
PhD in Bioinformatics, Computational Biology, Genomics, Statistics, Computer Science, Biomedical Engineering, or a related quantitative field
U
Research Associate / Predoc
Universitätsklinikum Carl Gustav Carus · Posted Nov 9, 2026
Conduct an independent doctoral research project investigating neural and neuro-immune mechanisms in chronic liver disease and liver cancer within the ERC Starting Grant project LIVER-CIRCUITS
Compensation
Compensation: Based on the TV-L collective bargaining agreement in pay grade E13, plus an annual bonus, provided you meet the personal requirements
Responsibilities
Conduct an independent doctoral research project investigating neural and neuro-immune mechanisms in chronic liver disease and liver cancer within the ERC Starting Grant project LIVER-CIRCUITS
Investigate how liver-associated neural circuits regulate immune, stromal, and epithelial cell states, tissue remodeling, and disease progression
Map and functionally perturb neural pathways using complementary genetic, pharmacological, and experimental approaches
Plan, perform, document, and evaluate experiments using relevant cellular and experimental disease models
Process and analyze biological samples from experimental models and human cohorts
Requirements
Master’s degree in biology, molecular medicine, biomedicine, biochemistry, biotechnology, microbiology, immunology, neuroscience, bioinformatics, nutritional sciences, or a related discipline
Nice to have: microbiome research
Nice to have: chronic liver disease
Nice to have: neuroimmunology
Nice to have: mucosal immunology
Skills
Biology & Bioinformatics Research Specialist (MSc/PhD)
Conduct advanced molecular biology and stem cell research in an on‑site postdoctoral capacity within the Duke University Department of Obstetrics and Gynecology.
Responsibilities
Perform 2D and 3D stem cell culture, including human peripheral blood mononuclear cell isolation
Prepare samples for immunofluorescence staining and imaging with light, fluorescence and confocal microscopes
Conduct western blot and ELISA assays
Design and execute molecular assays such as DNA/RNA extraction, PCR, qPCR
Generate single‑cell and single‑nuclei RNA sequencing libraries, ChIP‑seq and ATAC‑seq
Requirements
Ph.D. or equivalent doctorate (e.g., Sc.D., M.D., D.V.M.)
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