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Executive Computer Science Bioinformatics Jobs in Virginia

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site

$90 - $120/hr

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 ...

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 ...

AIToolboard

TS206 Computer Vision Engineer

Chantilly, VA · On-site

$210 - $280/hr

... executives and non-technical audiencesDesired Skills • Master's or PhD degree in Imaging Science, Computer Vision, or Computer Science • Experience developing image processing for spacecraft ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

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

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Executive Computer Science Bioinformatics information

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

AspectExecutive Computer Science BioinformaticsData Scientist
Required CredentialsAdvanced degrees in bioinformatics, computer science, or related fields; often with leadership experienceDegree in computer science, statistics, or related fields; certifications like Certified Analytics Professional (CAP) are common
Work EnvironmentResearch labs, biotech firms, healthcare organizations, often in leadership rolesTech companies, finance, healthcare, with focus on data analysis and modeling
Employer & Industry UsageBiotech, pharmaceuticals, healthcare industry, often in executive or strategic rolesVarious industries including tech, finance, healthcare, focusing on data insights

Executive Computer Science Bioinformatics professionals typically hold leadership roles in biotech and healthcare, focusing on strategic decision-making, while Data Scientists analyze data across multiple industries to generate insights. Both roles require strong technical skills, but their focus and work environment differ significantly.

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 cities in Virginia are hiring for Executive Computer Science Bioinformatics jobs?

Cities in Virginia with the most Executive Computer Science Bioinformatics job openings:

Executive Computer Science Bioinformatics jobs near you

Associate Bioinformatics Data Scientist

Signature Science, LLC

Charlottesville, VA

$75K/yr

Full-time

Re-posted 7 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.