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Bioinformatics Engineering Jobs in California (NOW HIRING)

... engineering practices (Git, testing, documentation). • Workflow + compute operations experience: Nextflow/Snakemake/WDL; running large genomics workloads on on prem HPC (e.g., Slurm/LSF) and AWS (e ...

... engineering practices (Git, testing, documentatio n). • Workflow + compute operations experience: Nextflow/Snakemake/WDL; running large genomics workloads on on prem HPC (e.g., Slurm/LSF) and AWS ...

Bioinformatics Engineer

Hayward, CA · On-site

$120K - $155K/yr

Arcusis seeking a Bioinformatics Engineer that will work in a highly embedded, collaborative model with colleagues across the organization. The engineer will join highly technical, interdisciplinary ...

You will combine strong engineering practices with bioinformatics expertise to develop reliable, production-grade systems that support clinical decision-making and advance precision medicine. What ...

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Bioinformatics Engineering information

What is the difference between Bioinformatics Engineering vs Bioinformatics Analyst?

AspectBioinformatics EngineeringBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, healthcare, pharmaceutical companies
Employer & Industry UsageDevelops tools, pipelines, and software for data analysisInterprets data, generates reports, supports research projects

Bioinformatics Engineering focuses on developing software and pipelines for data processing, requiring programming expertise. In contrast, Bioinformatics Analysts primarily interpret data and generate insights, often with a stronger emphasis on biological knowledge. Both roles are vital in biotech and healthcare industries, but they differ in technical scope and daily tasks.

What is a bioinformatics engineer?

A bioinformatics engineer is a professional who develops and applies computational tools and techniques to analyze and interpret biological data, such as DNA sequences or protein structures. They combine expertise in computer science, biology, and mathematics to create software, manage databases, and solve complex biological problems. Bioinformatics engineers often work in research, pharmaceuticals, healthcare, and biotechnology industries to help advance scientific discoveries and medical innovations.

What engineers make $500,000?

Senior bioinformatics engineers with extensive experience, advanced skills in programming, data analysis, and familiarity with tools like Python, R, and cloud platforms can reach salaries of $500,000 or more, especially in high-demand industries or leadership roles. Achieving this level often requires a combination of technical expertise, industry experience, and sometimes managerial responsibilities.

How do bioinformatics engineers typically collaborate with biologists and data scientists in a research setting?

Bioinformatics engineers frequently work in cross-disciplinary teams, partnering closely with biologists to understand experimental goals and with data scientists to analyze complex datasets. Effective communication is key, as engineers must translate biological questions into computational workflows and interpret results in a way that is meaningful to non-technical team members. This collaborative approach not only accelerates research but also helps engineers gain a deeper understanding of biological processes, which can lead to more innovative solutions and professional growth.

How much does a bioinformatics engineer make?

The average salary for a bioinformatics engineer typically ranges from $70,000 to $120,000 annually, depending on experience, education, and location. Professionals with advanced skills in programming, data analysis, and familiarity with tools like Python, R, and Linux tend to earn higher salaries.

What are the key skills and qualifications needed to thrive as a Bioinformatics Engineer, and why are they important?

To thrive as a Bioinformatics Engineer, you need a solid background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and proficiency with databases and cloud computing platforms are typically required. Strong problem-solving, analytical thinking, and collaboration skills set standout professionals apart in this interdisciplinary field. These competencies are crucial for effectively analyzing complex biological data and driving innovation in life sciences research.

What do bioinformatics engineers do?

Bioinformatics engineers develop and implement computational tools and algorithms to analyze biological data, such as genetic sequences and molecular structures. They often work with programming languages like Python or R, utilize databases, and collaborate with biologists to interpret data for research and medical applications.

What engineers make $300,000 a year?

Senior bioinformatics engineers with extensive experience, advanced skills in programming, data analysis, and familiarity with tools like Python, R, and cloud platforms can earn $300,000 or more annually, especially in high-demand biotech or pharmaceutical industries. Achieving this level often requires advanced degrees, certifications, and leadership responsibilities.
What cities in California are hiring for Bioinformatics Engineering jobs? Cities in California with the most Bioinformatics Engineering job openings:
Bioinformatics Engineer

Bioinformatics Engineer

The Select Group

South San Francisco, CA • On-site

Full-time

Posted 5 days ago


Job description

BIOINFORMATICS ENGINEER | SAN FRANCISCO, CA
The Select Group is seeking a Bioinformatics Engineer to join one of our top biotechnology partners in the Fortune 100. This team works with next gen sequencing and diagnostic instruments that help detect lung cancer and reproductive diseases. This person will be working on the bioinformatics pipeline and will be testing existing and new features on the next gen sequencing applications/platforms. Note, working hours will be 9:00am-5:00pm PST.
BIOINFORMATICS ENGINEER REQUIREMENTS
  • Bachelors Degree and 5+ years of relevant work experience OR Masters Degree and 3+ years of relevant experience OR PhD and 2+ years of relevant experience
    • Degree should be in Bioinformatics, Chemistry, Biology, Biochemistry, Computational Science, or a similar scientific field
  • 3 years of coding experience and proficiency with at least 1 language (preference on Python)
  • Familiarity and experience with Linux command lines
  • Prior experience with next gen sequencing
  • Must have documentation experience (likely will not be listed on resume)
  • Soft skills: detail oriented, team player, flexible, able to work in fast paced environments

Bonus skills:
  • Oncology experience (huge plus)
  • FDA Compliance 21 CFR documentation experience
  • Test development experience with Java
  • Experience with Selenium
  • Familiarity with mapping algorithm development

BIOINFORMATICS ENGINEER RESPONSIBILITIES
  • Analyze the requirements for data analysis pipelines and visualizations to support various applications (Oncology, Reproseq, Immuno-oncology, CarrierSeq etc) and translate them to software specifications.
  • Help software development team to understand and design the complex Informatics and Data Visualization features. Work closely with developers to implement software features
  • Write and execute test protocols to validate the features and data analysis pipelines
  • Troubleshooting the data analysis pipeline and software issues.
  • Check the correctness of output Compare output data with other equivalent systems
  • Perform system performance profiling
  • Perform test automation with Python and Java
  • Prepare FDA submission documentation when needed
  • Collaborate with cross functional team

TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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