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Senior Computer Science Bioinformatics Jobs (NOW HIRING)

Required QualificationsPhD in bioinformatics, biostatistics, biomedical engineering, computer science or other related disciplines.Experience (2-5 years) with state-of-the-art bioinformatics tools ...

Senior Computer Scientist

Bethesda, MD ยท On-site

$130K - $190K/yr

Job Title Senior Computer Scientist Location Bethesda, MD 20800 US (Primary) Category Research ... Computer software engineers apply the principles and techniques of computer science, engineering ...

Bioinformatics Scientist

Boston, MA ยท On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San ... PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely ...

Senior Computer Scientist

Chesapeake, VA ยท On-site

$130K - $190K/yr

Job Title Senior Computer Scientist Location Norfolk, VA 23324 US (Primary) Category Research ... Computer software engineers apply the principles and techniques of computer science, engineering ...

Bioinformatics Scientist

Boston, MA ยท On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San ... PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely ...

Bioinformatics Scientist

Boston, MA ยท On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San ... PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely ...

Bioinformatics Scientist

Ann Arbor, MI ยท On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San ... PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely ...

Bioinformatics Scientist

Ann Arbor, MI ยท On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San ... PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely ...

Showing results 21-40

Senior Computer Science Bioinformatics information

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$84.5K

$102.3K

$119.5K

How much do senior computer science bioinformatics jobs pay per year?

As of Sep 15, 2026, the average yearly pay for senior computer science bioinformatics in the United States is $102,271.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $110,000.00 per year, depending on experience, location, and employer.

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 key skills and qualifications needed to thrive as a senior computer science bioinformatics professional?

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 cities are hiring for Senior Computer Science Bioinformatics jobs?

Cities with the most Senior Computer Science Bioinformatics job openings:

What are the most commonly searched types of Computer Science Bioinformatics jobs?

The most popular types of Computer Science Bioinformatics jobs are:

What states have the most Senior Computer Science Bioinformatics jobs?

States with the most job openings for Senior Computer Science Bioinformatics jobs include:

Associate Bioinformatics Data Scientist

Charlottesville, VA โ€ข On-site

Signature Science, LLC
Scientific Research and Development Servicesย โ€ขย 51 - 200 employees

$56K - $57K/yr

Full-time

Re-posted 17 days ago


Job description

Position Purpose:ย ย ย 

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.
  • ยท ย ย ย  Apply literateprogramming 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.
Employment Type: FULL_TIME