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Senior Computer Science Bioinformatics Jobs (NOW HIRING)

Natera

OR

Natera is seeking a Senior Bioinformatics Scientist to lead the architecture, development, and ... experience in Bioinformatics, Computer Science, Engineering, Biochemistry, or a related ...

New

Goldbelt, Inc.

Bioinformatician

Atlanta, GA

Master's degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public Health, or related field * Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint) * Core ...

Natera

Senior Bioinformatics Scientist

San Carlos, CA · On-site

Natera is seeking a Senior Bioinformatics Scientist to lead the architecture, development, and ... experience in Bioinformatics, Computer Science, Engineering, Biochemistry, or a related ...

New

Bruker

... in life science molecular research, in applied and pharma applications, in microscopy and ... This role reports to our Senior Bioinformatician and does not include management of direct reports.

UNAVAILABLE

... in life science molecular research, in applied and pharma applications, in microscopy and ... This role reports to our Senior Bioinformatician and does not include management of direct reports.

Bruker Corporation

Scientist, Bioinformatics

... in life science molecular research, in applied and pharma applications, in microscopy and ... This role reports to our Senior Bioinformatician and does not include management of direct reports.

Bruker

Scientist, Bioinformatics

Saint Louis, MO

... in life science molecular research, in applied and pharma applications, in microscopy and ... This role reports to our Senior Bioinformatician and does not include management of direct reports.

KBR, Inc.

Senior Computer Scientist

Huntsville, AL · On-site

Senior Computer Scientist Program Summary KBR's Missile, Aviation, and Ground Systems (MAGS ... Computer science degree from accredited university. * 10-20 years of experience. * Ability to ...

KBR

Senior Computer Scientist

Huntsville, AL · On-site

Senior Computer Scientist Program Summary KBR's Missile, Aviation, and Ground Systems (MAGS ... Computer science degree from accredited university. * 10-20 years of experience. * Ability to ...

BiomeSense

Senior Bioinformatics Engineer

Chicago, IL · On-site

The Senior Bioinformatics Engineer will help build the MetaBiome platform, contributing to ... S. /PhD in Computational Biology, Bioinformatics, Computer Science or a related field with 3+ yrs ...

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

As of Jun 20, 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 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 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:
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Senior Computer Science Bioinformatics jobs near you

Senior Bioinformatics Scientist

Natera

OR

Other

Posted yesterday

Natera rating

7.7

Company rating: 7.7 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

48th of 103 rated laboratories

Job description

Natera is seeking a Senior Bioinformatics Scientist to lead the architecture, development, and automation of high-throughput genomic pipelines. This role is responsible for building production-grade software tools to analyze next-generation sequencing (NGS) data including variant calling, fusion detection, and data quality control. The ideal candidate combines a deep understanding of sequence alignment algorithms with strong object-oriented programming skills to design scalable computational workflows in a fast-paced, mission-driven environment.

Primary Responsibilities:

  • Analyze complex genomic datasets leveraging scaled in-house pipelines, partnering cross-functionally with wet-lab scientists and statisticians to rapidly deliver data-driven answers to critical research goals.
  • Architect, build, and deploy automated analysis pipelines for diagnostic tests, integrating robust capabilities for fusion detection, variant calling, and automated quality control metrics.
  • Engineer novel genomic analysis tools and proactively identify optimization pathways to enhance pipeline accuracy and efficiency.
  • Participate in code reviews, technical documentation, and the continuous improvement of core computational workflows.
  • Coordinate directly with downstream infrastructure teams to ensure R&D tools scale efficiently into production systems.

Qualifications:

  • Ph.D. or Master's degree with a minimum of 5 years of professional experience in Bioinformatics, Computer Science, Engineering, Biochemistry, or a related quantitative field.

Knowledge, Skills, and Abilities:

  • Deep theoretical and practical understanding of high-throughput DNA sequence data analysis, including mapping, sequence alignment, and variant calling workflows.
  • Advanced understanding of data structures, algorithm design, and computational complexity.
  • Strong software engineering proficiency in Java or C++ within a professional production environment.
  • Demonstrated scripting capability in Python or Perl for data manipulation, automation, and rapid prototyping.
  • Deep expertise navigating Linux environments, utilizing command-line tools, and writing efficient shell scripts.
  • Prior experience working with relational databases, particularly MySQL, is highly desirable.
  • Demonstrated technical autonomy and rigorous data discipline when troubleshooting high-complexity algorithmic challenges.
  • Excellent communication skills with a proven track record of explaining computational results clearly to cross-functional stakeholders.

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