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Freelance Computer Science Bioinformatics Jobs in Virginia

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

PhD in bioinformatics, mathematics, statistics, computer science, data science, or related field with 4+ years of relevant experience OR Master's degree in an equivalent field with 4 years of ...

Imagineeer LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

PhD in bioinformatics, mathematics, statistics, computer science, data science, or related field with 4+ years of relevant experience OR Master's degree in an equivalent field with 4 years of ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA

D. degree in Computer Science, Electrical and Computer Engineering, Computational Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or related fields. PhD must ...

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Freelance Computer Science Bioinformatics information

What is the difference between Freelance Computer Science Bioinformatics vs Freelance Data Scientist?

AspectFreelance Computer Science BioinformaticsFreelance Data Scientist
Required CredentialsBackground in bioinformatics, computer science, or related fields; often with biology or genetics knowledgeBackground in statistics, computer science, or data analysis; often with mathematics or engineering degrees
Work EnvironmentResearch labs, biotech companies, academic projects, or remote consultingBusiness, finance, tech firms, or consulting projects, often remote
Employer & Industry UsageHealthcare, biotech, pharmaceuticals, academiaFinance, tech, marketing, healthcare, and consulting

While both roles involve data analysis and programming, Freelance Computer Science Bioinformatics focuses on biological data and genetics, whereas Freelance Data Scientist covers a broader range of industries and data types. Both are in high demand for remote freelance work, but their specific expertise and industry focus differ.

What are the most commonly searched types of Computer Science Bioinformatics jobs in Virginia? The most popular types of Computer Science Bioinformatics jobs in Virginia are:
What are popular job titles related to Freelance Computer Science Bioinformatics jobs in Virginia? For Freelance Computer Science Bioinformatics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Freelance Computer Science Bioinformatics jobs in Virginia look for? The top searched job categories for Freelance Computer Science Bioinformatics jobs in Virginia are:
What cities in Virginia are hiring for Freelance Computer Science Bioinformatics jobs? Cities in Virginia with the most Freelance Computer Science Bioinformatics job openings:
Freelance Computer Science Bioinformatics jobs near you
Associate Bioinformatics Data Scientist

Associate Bioinformatics Data Scientist

Signature Science, LLC

Charlottesville, VA

$75K/yr

Full-time

Posted 23 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.