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Bioinformatics Engineering Jobs in California (NOW HIRING)

... in programming in scripting (Python or similar) and interpreted languages (R, etc). • ... and bioinformatics innovation. Company : GATC Health uses AI to speed drug discovery, predict ...

Experience in programming in scripting (Python or similar) and interpreted languages (R, etc ... Computational biology and bioinformatics innovation. Why Join Us: * Opportunity to work at the ...

Bioinformatics Analyst - CA

Irvine, CA · On-site

$70K - $85K/yr

Experience in programming in scripting (Python or similar) and interpreted languages (R, etc ... Computational biology and bioinformatics innovation. $70,000 - $85,000 a year Why Join Us: • ...

Experience in programming in scripting (Python or similar) and interpreted languages (R, etc ... Computational biology and bioinformatics innovation. $70,000 - $85,000 a year Why Join Us:

We are seeking an innovative and highly motivated Senior Scientist, Bioinformatics to lead the ... Strong proficiency in Python, R, or similar programming languages * Experience applying machine ...

We are seeking an innovative and highly motivated Senior Scientist, Bioinformatics to lead the ... Strong proficiency in Python, R, or similar programming languages * Experience applying machine ...

Expertise in Python programming and demonstrated ability to learn and adopt bioinformatics techniques and resources. * Experience developing within a Linux-based cloud-computing environment (AWS ...

Showing results 41-60

Bioinformatics Engineering information

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 are the key skills and qualifications needed to thrive as a bioinformatics engineer?

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.

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.

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 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 are popular job titles related to Bioinformatics Engineering jobs in California?

For Bioinformatics Engineering jobs in California, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Engineering jobs in California look for?

The top searched job categories for Bioinformatics Engineering jobs in California are:

What cities in California are hiring for Bioinformatics Engineering jobs?

Cities in California with the most Bioinformatics Engineering job openings:

Infographic showing various Bioinformatics Engineering job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Bioinformatics Analyst

Centrillion Technologies, Inc.

Palo Alto, CA

$65K - $90K/yr

Full-time

Re-posted 11 days ago


Job description

Centrillion Technologies develops advanced DNA Chips which have a wide range of applications, including whole genome sequencing, spatial biology, digital pathology, next generation genotyping, synthetic biology and DNA computing. Our world’s most advanced high resolution and highly sensitive spatial chips, chemistry, its lithographic design and encoding technologies have been licensed to 10x Genomics for spatial genomics and the spatial technologies have been commercialized as through 10x Genomics’ Visium HD spatial chips, exclusively in US and Centrillion’s Zipcode spatial chips for single cell level spatial genomics and digital pathology.

Our Palo Alto facility functions as a research institute where our team of scientists work on the latest in chemistry, biochemistry, genomics, electronics, artificial intelligence, and bioinformatics. Our current focus areas are chromosomal scale DNA sequencing, next generation genotyping, and exploratory DNA computing research.

Centrillion’s Molecular Vision Laboratory (MVL) is a leader in identification of genetic mutations in vision disorders. Centrillion is backed by venture capital and strategic investors and has operations in Silicon Valley, CA, Portland, OR and in Asia Pacific.

Bioinformatics Analysts

As a Bioinformatics Analyst, you will be responsible for developing algorithms and tools/pipelines for data analysis, including new genome sequencing data, genotyping data and other biomedical data. You will perform data analysis and benchmark analytical algorithms, tools and pipelines; participate in product development and customer support projects; explore new frontiers of data analysis; and take on other tasks that the supervisor sees fit. The bioinformatics analyst is also expected to collaborate effectively internally with molecular biologists, manufacturing, engineering and other departments as well as external academic and clinical researchers.

We have two positions open – one entry level with BS degree required; and one mid-level with MS degree required.

Requirements:

  • BS or MS in statistics, applied mathematics, computer science or other computational science

  • Knowledge about next generation sequencing (NGS), genotyping and other biotechnologies

  • Familiarity with NGS data analysis algorithms and tools/pipelines

  • Programming skills with C++, Python or Perl, R

  • Fast learner and willing to learn new skills and technologies

  • Team player with good communication skills

Desirable:

  • Expertise in machine learning algorithms

  • Experience in Next Generation Sequencing (NGS) bioinformatics pipelines/tools

  • Genomics software: Mutect, Varscan2, or similar

  • Standard genomics software (BWA, GATK, SAMTools or similar)

  • Databases (Cosmic, TCGA, etc)

  • Familiarity with various assays, sequencing modes and analysis approaches (WGS vs. Exome, RNA-seq)

  • BASH scripting and Unix/Linux command line tools

  • Databases – SQL and NoSQL

Applicants must be authorized to work for ANY employer in the United States on a permanent basis. We are unable to sponsor or take over sponsorship of an employment visa at this time.

The expected salary range for this position is between $65,000 to $90,000. Actual pay may be more or less than the posted range. Centrillion considers a variety of factors when determining base compensation, including, but not limited to, job-related knowledge, skills, experience, education, position level and geographical location. These considerations mean actual compensation will vary. This position may also be eligible for annual bonus and equity grants, in addition to a full range of financial, health and wellness benefits, depending on the position offered.

Centrillion Technologies, Inc. is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the Individuals seeking employment at Centrillion are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.