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Rna Data Scientist Jobs (NOW HIRING)

BullFrogAI

Principal Data Scientist

Gaithersburg, MD · On-site

$175K - $215K/yr

BullFrog AI is seeking an exceptional Principal Data Scientist with a strong background in ... Conduct multi-omic analyses such as RNA-seq differential expression, clustering, genomic ...

Merck & Co.

$144K - $227K/yr

We are looking for a skilled data scientist with extensive experience to develop predictive ... RNA-seq (e.g., Limma, Seurat, scanpy), spatial transcriptomics (e.g., CosMx, 10x Visium), and ...

Buck Institute

AI Data Scientist-Furman lab

Novato, CA · On-site

$60K - $75K/yr

Transcriptomics, including single-cell and bulk RNA-seq * Proteomics * Metabolomics * Epigenetics ... Master's degree in Computer Science, Data Science, Computational Biology, Bioinformatics, Applied ...

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How much do rna data scientist jobs pay per year?

As of Sep 10, 2026, the average yearly pay for rna data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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For Rna Data Scientist jobs, the most frequently searched job titles are:

Associate Bioinformatics Data Scientist

Charlottesville, VA • On-site

Signature Science, LLC
Scientific Research and Development Services • 51 - 200 employees
Learn more about Signature Science, LLCexternal

$56K - $57K/yr

Full-time

Re-posted 12 days ago

Job description

Position Purpose:   

A bioinformatics data scientist is responsible for providing experimental design consulting and data analysis for large, high-throughput genomic experiments, with a focus on forensics and metagenomics. The bioinformatics data scientist will be responsible for designing and implementing annotated code for managing, manipulating, and analyzing large-scale genomic data, and for preparing thorough documentation and reporting.

This position is a full-time, on-site role at the Signature Science office in Charlottesville, VA.

Essential Duties and Responsibilities:

  • Develop tools for management, analysis and interpretation of high-density microarray and whole genome sequencing data.
  • Manage, manipulate, and analyze data using a combination of R, python, and UNIX tools.
  • Use established domain-specific open-source software and tools to manipulate and analyze genomic data.
  • Implement and execute data processing workflows and automated analytic pipelines.
  • ·     Apply literateprogramming methods to develop reproducible workflows that produce consistent, standardized tables and figures.
  • Conduct workflow benchmarking and documentation, identifying inconsistencies and resolving data problems.
  • Prepare SOPs, document source code/workflows, and write reports to summarize computational requirements, processing status, and customized analysis results.

Required Knowledge, Skills & Abilities:

  • Advanced proficiency working in a Unix/Linux environment.
  • Advanced proficiency with open-source software, tools, and databases for analyzing next-generation sequencing data (whole-genome sequencing, RNA-seq, epigenetics, microbiome, and metagenomics).
  • Proficiency working with and developing using Docker and/or Singularity container technology.
  • Proficiency using version Control software (e.g., Git or similar) to manage programming code.
  • Proficiency with Python, Perl, or another scripting language.
  • Proficiency with R, RMarkdown, and the "tidyverse" tools for data analysis.
  • Preferred: Experience with NextFlow, SnakeMake, or similar workflow/pipeline management systems.
  • Preferred: Familiarity with developing and querying relational databases.
  • Preferred: Familiarity with AWS and/or Azure cloud computing.

Education/Experience:

  • BA or BS in Computer Science, Bioinformatics, or related field
  • Experience managing and analyzing large-scale datasets produced sequencing platforms and delivering solutions for managing, visualizing, analyzing, and interpreting genomic data
  • Experience using Linux/Unix text processing tools, R, and other open-source tooling to manipulate and format data, to assess data quality, and analyze data.

Clearance:

  • This position requires that the candidate be willing and able to complete a successful background screening for a security clearance. Candidates with a current security clearance will receive preference.

Supervisory Responsibilities:

  • May serve as a bioinformatics task lead.

Working Conditions/ Equipment:

  • Ability to work in varying conditions to include: traditional office environments with sedentary extended periods required for code development and testing.
Employment Type: FULL_TIME

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