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# Data Scientist

- **Company:** Beacon Hill Staffing Group, LLC
- **Location:** Augusta, ME, United States (Remote available)
- **Experience:** Expert
- **Salary:** $80,517.0 - $96,616.0
- **Contract:** Temporary contract
- **Skills:** Bioinformatics, Cloud Computing, Computational Biology, Computer Simulation, Corona (Software Development Kit), Python (Programming Language), Git, Containerization, Information Technology, Software Version Control, Programming Languages
- **Published:** October 29, 2026
- **Apply:** https://www.disabledperson.com/jobs/76274865-data-scientist

## About the Role

* MS or PhD in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field.

 * 5+ years of experience analyzing NGS datasets.
 * Strong understanding of sequencing technologies, experimental design, and relevant statistical methodologies.
 * Proficiency in Python, R, or similar programming languages for biological data analysis.
 * Experience with cloud computing, version control (Git), containerization, and other modern computing practices.
 * Strong collaboration and communication skills with cross-functional scientific teams.
 * Preferred: Experience with workflow orchestration tools such as Nextflow, Snakemake, or similar platforms.

## Description

Our client is seeking a Contract Data Scientist to support the analysis and interpretation of complex genomics datasets. This role will start part time (20 hours a week) for training and shift to full-time hours (40 hours a week).

Role Responsibilities:

 * Analyze and interpret NGS datasets, including amplicon sequencing, bulk RNA-seq, and single-cell RNA-seq.

 * Design, evaluate, and integrate high-throughput sequencing experiments and associated analyses.
 * Partner with biology teams to interpret results, troubleshoot challenges, and optimize experimental design.
 * Develop and maintain bioinformatics workflows and analytical pipelines.
 * Apply statistical and computational methods to generate actionable biological insights.
 * Ensure analyses are reproducible and scalable using modern software development best practices.