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Full Time Bioinformatics Data Scientist Jobs (NOW HIRING)

Axle

Bioinformatics/Data Scientist

Frederick, MD · On-site

$105K - $120K/yr

Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center in Frederick, MD. The ...

Axle

Bioinformatics/Data Scientist

Frederick, MD · On-site

$105K - $120K/yr

Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center in Frederick, MD. The ...

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All JobsBioinformatics Data Scientist JobsFull Time Bioinformatics Data Scientist Jobs

Full Time Bioinformatics Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do full time bioinformatics data scientist jobs pay per year?

As of Jul 14, 2026, the average yearly pay for full time bioinformatics 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.

What is the difference between Full Time Bioinformatics Data Scientist vs Bioinformatics Analyst?

AspectFull Time Bioinformatics Data ScientistBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related field; experience with programming and statistical analysisBachelor's or Master's in Bioinformatics, Biology, or related field; basic programming skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, hospitals, biotech firms
Employer & Industry UsageUsed in biotech, pharma, healthcare for data analysis and model buildingUsed for data interpretation, reporting, and supporting research projects

Full Time Bioinformatics Data Scientists focus on developing models, analyzing complex datasets, and applying advanced computational techniques. Bioinformatics Analysts primarily interpret data, generate reports, and support research efforts. While both roles require similar educational backgrounds, Data Scientists typically engage in more technical, programming-heavy tasks, whereas Analysts focus on data interpretation and communication.

What cities are hiring for Full Time Bioinformatics Data Scientist jobs? Cities with the most Full Time Bioinformatics Data Scientist job openings:
What are the most commonly searched types of Bioinformatics Data Scientist jobs? The most popular types of Bioinformatics Data Scientist jobs are:
Full Time Bioinformatics Data Scientist jobs near you
Associate Bioinformatics Data Scientist

Associate Bioinformatics Data Scientist

Signature Science, LLC

Charlottesville, VA

$75K/yr

Full-time

Posted 13 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 literate‑programming 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.