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Senior Computer Science Bioinformatics Jobs in Virginia

ECS

Senior Computer System Analyst

Falls Church, VA · On-site

Everforth ECS is seeking a Senior Computer System Analyst to work in Falls Church, VA . This ... As a Computer System Analyst, you will analyze science, engineering, business, and other data ...

ANSER

Senior Computer Scientist

Reston, VA · On-site

They are seeking a Senior Computer Scientist to support AI/ML Quality Assurance Framework efforts ... Required : • TS/SCI with Poly Clearance • Master's degree in Data Science, Computer Science ...

ANSER

Senior Computer Scientist

Reston, VA · On-site

ANSER is seeking a Senior Computer Scientist to support AI/ML Quality Assurance Framework efforts ... Required : • TS/SCI with Poly Clearance • Master's degree in Data Science, Computer Science ...

Oran Inc

Bioinformatics Analyst III

Herndon, VA

Bachelor's or Master's degree in Bioinformatics, Computational Biology, Biomedical Informatics, Data Science, Computer Science, or related scientific discipline. * 7+ years of professional experience ...

Oran, Inc.

Bioinformatics Analyst III

Herndon, VA · On-site +1

Bachelor's or Master's degree in Bioinformatics, Computational Biology, Biomedical Informatics, Data Science, Computer Science, or related scientific discipline. * 7+ years of professional experience ...

ECS

Senior Computer System Analyst

Falls Church, VA · On-site

Everforth ECS is seeking a Senior Computer System Analyst to support their Defense health ... Responsibilities : • Analyze science, engineering, business, and other data processing problems ...

Peraton

Computer Scientist - Senior

Reston, VA · On-site

$135K - $216K/yr

The Senior Computer Scientist utilizes expertise in designing, developing, and maintaining data ... Employ mathematics, statics, information science, artificial intelligence, machine learning ...

Peraton

Computer Scientist - Senior

Reston, VA

$135K - $216K/yr

The Senior Computer Scientist utilizes expertise in designing, developing, and maintaining data ... Employ mathematics, statics, information science, artificial intelligence, machine learning ...

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Senior Computer Science Bioinformatics information

What are the key skills and qualifications needed to thrive as a Senior Computer Science Bioinformatics professional, and why are they important?

To thrive as a Senior Computer Science Bioinformatics professional, you need advanced knowledge in computational biology, programming (such as Python, R, or Java), and a strong background in molecular biology or genomics, often supported by a graduate degree (MSc or PhD). Proficiency with bioinformatics tools (like BLAST, GATK, or Bioconductor), high-performance computing environments, and version control systems (e.g., Git) is essential. Strong problem-solving abilities, analytical thinking, and effective collaboration skills set top performers apart in this field. These competencies are crucial for managing complex biological datasets, developing innovative algorithms, and driving impactful research in interdisciplinary teams.

How does a Senior Computer Science Bioinformatics professional typically collaborate with multidisciplinary teams?

Senior Computer Science Bioinformatics professionals often work closely with biologists, clinicians, statisticians, and software engineers to analyze complex biological datasets. They are responsible for translating biological questions into computational problems, developing algorithms or pipelines, and ensuring that results are accurate and actionable. Effective communication and collaboration are essential, as they must bridge the gap between technical and scientific teams, lead project discussions, and sometimes mentor junior team members. This collaborative environment fosters innovation and helps drive research projects or clinical applications forward.

What does a Senior Computer Science Bioinformatics professional do?

A Senior Computer Science Bioinformatics professional applies advanced computational methods and software development techniques to analyze biological data, such as DNA, RNA, and protein sequences. They design and implement algorithms, manage large datasets, and collaborate with biologists to interpret results for research or clinical purposes. Their work often supports discoveries in genomics, drug development, and personalized medicine. In addition to technical expertise, they may lead teams, mentor junior staff, and oversee complex projects.
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 Senior Computer Science Bioinformatics jobs? Cities in Virginia with the most Senior Computer Science Bioinformatics job openings:
Senior Computer Science Bioinformatics jobs near you
Associate Bioinformatics Data Scientist

Associate Bioinformatics Data Scientist

Signature Science, LLC

Charlottesville, VA

$75K/yr

Full-time

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.