UNIV - Open Rank Faculty - Department of Radiation Medicine
MUSC Health & Medical University of SC
Job Description Summary
Bioinformatics Lead, ctDNA Sequencing & Translational Genomics Location: Charleston, SC, Medical University of South Carolina (MUSC), (hybrid/remote may be considered for exceptional candidates) Entity
Medical University of South Carolina (MUSC - Univ) Worker Type
Employee Worker Sub-Type
Faculty Cost Center
CC001058 COM Radiation Oncology Pay Rate Type
Salary Pay Grade
University-00 Pay Range
0.00 - 0.00 - 0.000 Scheduled Weekly Hours
40 Work Shift Job Description Position Summary We are recruiting a Bioinformatics Lead to build and continuously improve the computational analysis platform supporting high-sensitivity circulating tumor DNA (ctDNA) assay development and translational clinical research. This role will support NGS data processing, quality control frameworks, error suppression, variant detection, and reporting across tumor-informed and tumor-naïve workflows. The successful candidate will work closely with wet-lab scientists and clinicians to enable rapid iteration, reproducibility, and scalability, with an emphasis on ultra-low allele fraction detection and rigorous translational study support. Key Responsibilities Pipeline development and analysis support
Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here:
Bioinformatics Lead, ctDNA Sequencing & Translational Genomics Location: Charleston, SC, Medical University of South Carolina (MUSC), (hybrid/remote may be considered for exceptional candidates) Entity
Medical University of South Carolina (MUSC - Univ) Worker Type
Employee Worker Sub-Type
Faculty Cost Center
CC001058 COM Radiation Oncology Pay Rate Type
Salary Pay Grade
University-00 Pay Range
0.00 - 0.00 - 0.000 Scheduled Weekly Hours
40 Work Shift Job Description Position Summary We are recruiting a Bioinformatics Lead to build and continuously improve the computational analysis platform supporting high-sensitivity circulating tumor DNA (ctDNA) assay development and translational clinical research. This role will support NGS data processing, quality control frameworks, error suppression, variant detection, and reporting across tumor-informed and tumor-naïve workflows. The successful candidate will work closely with wet-lab scientists and clinicians to enable rapid iteration, reproducibility, and scalability, with an emphasis on ultra-low allele fraction detection and rigorous translational study support. Key Responsibilities Pipeline development and analysis support
- Develop and maintain computational workflows supporting ctDNA-focused targeted sequencing analyses.
- Implement robust quality control metrics, acceptance criteria, and failure triage processes for high-depth sequencing runs.
- Generate analysis outputs and summaries to support translational studies, manuscripts, and grant applications.
- Contribute to continuous improvement of analytic performance (sensitivity/specificity) for ultra-low VAF detection and MRD-related applications.
- Partner with wet-lab and clinical teams to align assay design, sample processing, and analytic outputs; participate in troubleshooting and iterative optimization.
- Support study design discussions, analytic endpoint definitions, and interpretation of results for translational research programs.
- Support best practices for data governance, provenance, documentation, and reproducibility in handling human genomic data.
- Work with institutional resources to implement secure computational environments and appropriate data access practices.
- Mentor junior analysts as the program grows; contribute to hiring, onboarding, and training as needed.
- Help establish standards for analytic workflows, documentation, and communication across the research team.
- PhD in Bioinformatics, Computational Biology, Genetics/Genomics, Computer Science, Biostatistics, or related field; or MS with substantial relevant experience (track/title commensurate with credentials).
- Demonstrated experience analyzing ctDNA NGS data , including ultra-low allele fraction detection and/or MRD-related workflows.
- Strong NGS fundamentals: alignment, variant calling, QC, annotation, and interpretation-ready output generation.
- Proficiency in Python and/or R; strong comfort with Linux/Unix environments.
- Experience implementing reproducible analytic workflows and maintaining code in collaborative environments (e.g., version control).
- Track record of delivering robust pipelines used repeatedly for real datasets (not one-off scripts).
- Strong communication skills and ability to operate effectively in a multidisciplinary translational environment.
- Method development experience related to error suppression, background error modeling, consensus approaches, or sensitivity/specificity benchmarking for ultra-low VAF detection.
- Experience designing computational validation plans (e.g., precision/recall, LOD, reproducibility) and supporting assay/pipeline iteration.
- Experience with FFPE tumor tissue sequencing analysis and variant calling (or similar challenging specimen types with artifact-aware calling and QC).
- Familiarity with HIPAA-aligned compute environments and practices for handling human genomic data; experience with secure cloud environments (AWS/GCP/Azure).
- Experience working in or alongside clinical genomics settings and documentation practices supportive of eventual clinical validation.
- Experience mentoring analysts/engineers and/or leading pipeline development across multiple projects.
- CV
- Brief cover letter describing ctDNA/NGS analysis experience and role-fit
- (Optional) Link to code samples or repositories demonstrating relevant workflow/pipeline work
- (Optional) Contact information for 3 references
Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here:
Vacancy posted 2 days ago
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