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Associate Computer Science Consulting Jobs in Charlottesville, VA

Leasing Associate

Charlottesville, VA

$16.25 - $21.75/hr

Must be able to read documents, computer screens and data * Must be able to hear and understand ... This job title is associated with Leasing Agent, Leasing Consultant, Sales Consultant, Leasing ...

Leasing Associate

Charlottesville, VA · On-site

$16.25 - $21.75/hr

Must be able to read documents, computer screens and data * Must be able to hear and understand ... This job title is associated with Leasing Agent, Leasing Consultant, Sales Consultant, Leasing ...

Leasing Associate

Charlottesville, VA

$16.25 - $21.75/hr

Must be able to read documents, computer screens and data * Must be able to hear and understand ... This job title is associated with Leasing Agent, Leasing Consultant, Sales Consultant, Leasing ...

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Showing results 1-20

Associate Computer Science Consulting information

See Charlottesville, VA salary details

$21.3K

$80.2K

$160.7K

How much do associate computer science consulting jobs pay per year?

As of Jul 27, 2026, the average yearly pay for associate computer science consulting in Charlottesville, VA is $80,185.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,600.00 and $104,700.00 per year, depending on experience, location, and employer.
Infographic showing various Associate Computer Science Consulting job openings in Charlottesville, VA as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 25% Part Time, 4% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $80,185 per year, or $38.6 per hour.
Associate Bioinformatics Data Scientist

Associate Bioinformatics Data Scientist

Signature Science, LLC

Charlottesville, VA

$75K/yr

Full-time

Posted 26 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.