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Afternoon Genomics Data Scientist Jobs (NOW HIRING)

Astrix Inc

Data Scientist

Ridgefield, CT · On-site

Data Scientist Contract: 1 Year Location: Ridgefield, Connecticut/Remote Benefits : Medical, Dental ... PhD in Computational Biology, Bioinformatics, Genomics, Biostatistics, Computer Science, Biological ...

Legend Biotech USA, Inc.

Key Responsibilities Analyze diverse and large-scale genomic datasets (e.g., RNA-seq, scRNA-seq ... S. in Bioinformatics, Computational Biology, Data Science, Genomics, Biology, or a highly ...

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Afternoon Genomics Data Scientist information

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$46K

$165K

$243.5K

How much do afternoon genomics data scientist jobs pay per year?

As of Sep 1, 2026, the average yearly pay for afternoon genomics data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Afternoon Genomics Data Scientist vs Morning Genomics Data Scientist?

AspectAfternoon Genomics Data ScientistMorning Genomics Data Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Genetics, or Data Science; experience with genomic data analysisBachelor's or Master's in Bioinformatics, Genetics, or Data Science; experience with genomic data analysis
Work EnvironmentTypically works in research labs, biotech firms, or healthcare settings during afternoon shiftsSimilar environments, often during morning shifts or standard business hours
Employer & Industry UsageUsed in biotech, healthcare, and research institutions with flexible or shift-based schedulesCommon in similar industries, often with standard daytime hours

The main difference between an Afternoon Genomics Data Scientist and a Morning Genomics Data Scientist lies in their work shifts. Both roles require similar qualifications and are employed in comparable environments within biotech and healthcare sectors. The choice often depends on the employer's scheduling needs or personal preference for working hours.

More about Afternoon Genomics Data Scientist jobs

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Afternoon Genomics Data Scientist jobs near you
Infographic showing various Afternoon Genomics Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

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

$75K/yr

Full-time

Re-posted 2 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.