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Temporary Bioinformatics Data Scientist Jobs in Virginia

Senior Data Scientist

Springfield, VA · On-site

$117 - $195/hr

Bioinformatics * Data Engineering * Algorithm Development * Documentation * Cloud Computing * Data Mining * Database Design * Explainable AI * Machine Learning * Bayesian Modeling * Data Processing

This position is ideal for individuals with a strong foundation in bioinformatics, computational biology, or genomics who enjoy applying data science and analytical techniques to solve complex ...

New

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

In this role, you will provide computational, data science, and bioinformatics support for Office of Research Innovation, Validation, and Application's (ORIVA) research validation and application ...

The position will validate collected data to ensure it meets data format requirements. * The ... Temporary Duty travel will be outside the Continental United States as requested and approved by ...

The position will validate collected data to ensure it meets data format requirements. * The ... Temporary Duty travel will be outside the Continental United States as requested and approved by ...

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Temporary Bioinformatics Data Scientist information

What is the difference between Temporary Bioinformatics Data Scientist vs Bioinformatics Data Analyst?

AspectTemporary Bioinformatics Data ScientistBioinformatics Data Analyst
CredentialsTypically requires a master's or Ph.D. in bioinformatics, computational biology, or related fieldsUsually holds a bachelor's or master's degree in bioinformatics, biology, or data analysis
Work EnvironmentContract-based roles in research labs, biotech companies, or pharma firmsOften employed in research institutions, healthcare, or biotech companies
Employer & Industry UsageUsed for short-term projects requiring advanced modeling and algorithm developmentFocuses on data processing, visualization, and reporting tasks

The main difference is that Temporary Bioinformatics Data Scientists typically have advanced degrees and focus on developing models and algorithms, while Bioinformatics Data Analysts concentrate on data interpretation and reporting. Both roles are essential in biotech and research settings but differ in scope and expertise level.

What are the most commonly searched types of Bioinformatics Data Scientist jobs in Virginia?

The most popular types of Bioinformatics Data Scientist jobs in Virginia are:

What are popular job titles related to Temporary Bioinformatics Data Scientist jobs in Virginia?

For Temporary Bioinformatics Data Scientist jobs in Virginia, the most frequently searched job titles are:

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The top searched job categories for Temporary Bioinformatics Data Scientist jobs in Virginia are:

What cities in Virginia are hiring for Temporary Bioinformatics Data Scientist jobs?

Cities in Virginia with the most Temporary Bioinformatics Data Scientist job openings:

Associate Bioinformatics Data Scientist

Signature Science, LLC

Charlottesville, VA

$75K/yr

Full-time

Re-posted 14 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.