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Temporary Bioinformatics Data Scientist Jobs in Virginia

Truist

Decision Scientist III

Richmond, VA · On-site

$86K - $115K/yr

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... data-driven decisions with an objective of driving quantifiable, optimized business results in ...

CRDF Global

Biosecurity Expertise

Arlington, VA · On-site

... science and technology development and prevent the deployment of biological weapons (BW) or the ... Securing genomic databases, patient data, and bioinformatics pipelines from exfiltration or ...

CACI

Data Analyst (Temporary Assignment)

Alexandria, VA · On-site +1

$86K - $181K/yr

Data Analyst (Temporary Assignment) Job Category: Information Technology Time Type: Full time ... The Deputy Assistant Secretary of Defense - Science and Technology (DASD-S&T) Futures and ...

Genomics Ltd

Lead Scientist

Triangle, VA · On-site

... bioinformatics, computational biology, statistics or a closely related field - and you have led ... You are fluent in genomic data analysis at scale, comfortable with large genetic datasets, GWAS ...

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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:

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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:

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

Temporary Bioinformatics Data Scientist jobs near you

Bioinformatics Full-Stack Developer

Signature Science LLC

Austin, TX • On-site

$105K/yr

Full-time

Re-posted 23 days ago

Job description

Normal 0 false false false EN-US JA AR-SA
Position Purpose:
The bioinformatics full-stack developer is responsible for building and maintaining a digital bridge between frontend user-facing applications and backend bioinformatics pipelines. This position will oversee the delivery of high-quality software capable of analyzing nucleotide sequence data to produce actionable and user-friendly reports. The ideal candidate will be prepared to oversee and contribute to the development of an integrated software stack for characterization of DNA sequencing data on local hardware systems.
This position is a full-time, on-site role at the Signature Science office in Charlottesville, VA.
Essential Duties and Responsibilities:
  • Work with a team to develop and test full-stack software for analysis and interpretation of whole genome sequencing data, including front and back-end software components.
  • Implement and test data processing workflows and automated analysis pipelines. Optimize reproducible software pipelines that produce consistent, standardized results.
  • Oversee workflow bench marking and testing, identifying inconsistencies and resolving issues.
  • Contribute to management of computing hardware, operational logistics, and data warehousing.
  • Contribute to the preparation of standard operating procedures, document source code/workflows, and write reports to summarize computational requirements, processing status, and customized analysis results.
  • Communicate and interact regularly with project team members and stakeholders.

Required Knowledge, Skills & Abilities:
  • Advanced proficiency working in a Unix/Linux environment.
  • Advanced proficiency using version control software (e.g., Git) to manage programming code.
  • Advanced proficiency with C++.
  • Proficiency in developing software user interfaces.
  • Proficiency with open-source software, tools, and databases for analyzing next-generation sequencing data.
  • Proficiency with at least one programming or run-time interpreted programming language.
  • Proficiency with Continuous Integration and Continuous Deployment/Delivery (CI/CD).
  • Experience managing a development project including multiple teams.
  • Familiarity with issue and project tracking software.
  • Skilled at time and priority management.
  • Excellent written and oral communication skills.
  • Preferred: Proficiency with Python.
  • Preferred: proficiency with R, RMarkdown, and the "tidyverse" tools for data analysis.
  • Preferred: Experience with NextFlow, SnakeMake, or similar workflow/pipeline management systems.
  • Preferred: Proficiency working with and developing using containerization technology.
  • Preferred: Familiarity with AWS and/or Azure cloud computing.

Education/Experience:
  • Required: 5+ years of previous work experience in a full-stack developer role
  • Required: BS/BA in Computer Science, Software Engineering, Bioinformatics, or related field
  • Preferred: MS or PhD in Computer Science, Software Engineering, Bioinformatics, or related field
  • Preferred: Experience managing and analyzing large-scale datasets produced by DNA sequencing platforms and delivering solutions for managing, visualizing, analyzing, and interpreting genomic 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:
  • Serve as a task leader within one or more projects.

Working Conditions/ Equipment:
  • Ability to work in varying conditions to include traditional office environments with extended sedentary periods required for code development and testing.

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