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Genomics Phd Jobs in Virginia (NOW HIRING)

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

PhD in bioinformatics, mathematics, statistics, computer science, data science, or related field ... Experience managing and integrating large biomedical or genomic datasets * Strong background in ...

Advanced degree (PhD preferred) in Biology, Genetics, Biophysics, Biomedical Sciences, Linguistics ... Experience with biomedical, genomic, or scientific literature and complex datasets * Experience ...

Lead Biologist

Manassas, VA · On-site

$95K - $110K/yr

... PhD and 3 years, or HS Diploma and 12 years). * Extensive experience with molecular biology QC ... genotyping, and LIMS. * Preferred: Experience with Good Documentation Practices and creation and ...

PhD with MINIMUM TWO (2) years of postdoctoral research experience in molecular biology, cellular ... genotyping protocols. * Must have a have a strong publication record. * Experience working with ...

PhD with MINIMUM TWO (2) years of postdoctoral research experience in molecular biology, cellular ... genotyping protocols. * Must have a have a strong publication record. * Experience working with ...

Lead Biologist

Manassas, VA · On-site

$95K - $110K/yr

... PhD and 3 years, or HS Diploma and 12 years). * Extensive experience with molecular biology QC ... genotyping, and LIMS. * Preferred: Experience with Good Documentation Practices and creation and ...

Showing results 21-40

Genomics Phd information

What is the difference between Genomics Phd vs Bioinformatics Scientist?

AspectGenomics PhdBioinformatics Scientist
Required CredentialsPhD in Genomics, Genetics, or related fieldBachelor's or Master's in Bioinformatics, Computer Science, or related field; PhD preferred
Work EnvironmentResearch labs, academic institutions, biotech companiesResearch institutions, biotech, pharmaceutical companies, tech firms
Industry UsageDesigns experiments, analyzes genomic data, publishes researchDevelops algorithms, analyzes large datasets, supports research projects

While both roles involve genomic data analysis, a Genomics Phd typically focuses on experimental design and research in genomics, whereas a Bioinformatics Scientist emphasizes computational analysis and algorithm development. Both careers require strong analytical skills, but the Genomics Phd is more research-oriented, often leading to academic or research positions, while Bioinformatics Scientists are more involved in data processing within industry settings.

Does genomics pay well?

A PhD in genomics typically offers competitive salaries, especially in research institutions, biotech companies, and pharmaceutical firms. Salaries can vary based on experience, location, and specific skills such as bioinformatics or laboratory techniques, with many roles offering six-figure compensation for experienced professionals.

What jobs can you get with a genomics PhD?

A genomics PhD can lead to roles such as research scientist, bioinformatics analyst, genetic counselor, or laboratory director. These positions often require skills in data analysis, molecular biology, and familiarity with sequencing technologies and bioinformatics tools.

What are popular job titles related to Genomics Phd jobs in Virginia?

For Genomics Phd jobs in Virginia, the most frequently searched job titles are:

What cities in Virginia are hiring for Genomics Phd jobs?

Cities in Virginia with the most Genomics Phd job openings:

Bioinformatics Full-Stack Developer

Signature Science LLC

Austin, TX • On-site

$105K/yr

Full-time

Re-posted 22 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.