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# Data Scientist III

- **Company:** Spectraforce
- **Location:** Raleigh, NC, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Bioinformatics, Computational Biology, Computer Programming, Databases, Python (Programming Language), High Performance Computing, Information Technology
- **Published:** August 29, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88173242/1

## About the Role

* Programming experience with Python and R for bioinformatic data analysis in unix-like systems.
 * Proficiency in working with bulk and single cell NGS data
 * Experience with any of these topics is a plus: oncology or immunology knowledge, spatial transcriptomics, methylation, or liquid biopsy data analysis, public oncology database datasets (TCGA, GTEX, Human cell atlas, CZ CELLxGene Discover, Human tumor atlas network, etc)
 * Proficiency in working with high-performance computing clusters (HPC)
 * Proficiency in biological pathway analysis
 * PhD degree from an accredited institution with experience in computational sciences or a related scientific discipline (e.g., Computer sciences, Computational Biology, Genomics, Biostatistics, Bioinformatics and Biological Sciences)

## Description

* As an active team member of the Computational Innovation department at our organization, the successful candidate will contribute to oncology drug discovery research through in silico data driven approaches.
 * You will leverage multi-modal omics data analysis and collaborate with biologists to solve scientific challenges to advance drug discovery programs., * Support Oncology drug development efforts
 * Identify, learn and apply emerging technologies in data science and its applications to novel cancer therapeutics discovery and development.
 * Apply and develop innovative analysis approaches when standard methods are not adequate
 * Identify and process publicly available and internally generated datasets using statistical and bioinformatics techniques to create meaningful biological insights
 * Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field
 * Interpret, report, and present analysis results, with a high level of integrity and ethics, to biologists and collaborators.
 * Ensure FAIR data analysis with clear documentation and reproducibility


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