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# Bioinformatics/Data Scientist

- **Company:** Exel Inc.
- **Location:** United States (Remote available)
- **Salary:** $105,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Bioinformatics, Computational Biology, Computer Programming, Data Visualization, Python (Programming Language), Machine Learning, Data Processing, High Performance Computing, Software Version Control
- **Published:** August 24, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/peci5bl9t5

## About the Role

* Candidates must hold a PhD in bioinformatics, computational biology, biostatistics, or a related quantitative field.
 * Extensive experience with single-cell data analysis, including familiarity with tools such as Seurat, Scanpy, or similar platforms, is essential.
 * Strong programming skills in R and Python are required, along with experience in statistical analysis and data visualization.
 * Knowledge of proteomics and metabolomics data analysis workflows is necessary., * Previous experience analyzing organoid datasets is strongly preferred.
 * Experience with machine learning approaches for biological data, familiarity with pathway analysis tools, and knowledge of developmental biology principles will be considered valuable assets.
 * Experience with high-performance computing environments and version control systems is desirable.

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

## Description

* The successful candidate will analyze complex datasets including single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics data from various organoid systems and their tissue counterparts.
 * The position will develop and implement computational pipelines for data processing, quality control, and statistical analysis.
 * A major component of the role involves integrating SOM-generated data with publicly available datasets to benchmark organoid characteristics against normal tissue profiles.
 * The position requires close collaboration with experimental teams to interpret results and guide protocol optimization, as well as contributing to manuscript preparation and presenting findings at scientific conferences.


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