1

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 ...

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 ...

New

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. 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: • ...

Showing results 21-40

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 Engineer, Pipelines

Mithrl

San Francisco, CA • On-site

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 23 days ago


Job description

ABOUT MITHRL

We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought.

Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into real insights in minutes. Scientists ask questions in natural language, and Mithrl responds with analysis, novel targets, hypotheses, and patent-ready reports.

Our traction speaks for itself:

  • 12X year-over-year revenue growth

  • Trusted by leading biotechs and big pharma across three continents

  • Driving real breakthroughs from target discovery to patient outcomes.

ABOUT THE ROLE

We are looking for a Lead Bioinformatics Pipeline Engineer to build and scale Mithrl’s multi modal scientific processing pipelines. You will own the workflows that transform raw biological data into clean, reproducible outputs that power Mithrl’s AI Co-Scientist. These workflows include microarray, imaging, spatial transcriptomics, genomics, epigenomics, flow cytometry, and more.

This role sits at the center of our technical stack. You will architect Nextflow and nf-core style pipelines, implement modality-specific validation and QC layers, and collaborate with the Tabular Data Team and Knowledge Curation Team to ensure downstream data harmonization, variable ID mapping, and schema alignment. Your work ensures that scientists can ask questions and receive accurate data-backed answers instantly.

If you enjoy building robust scientific workflows and want to work on high impact problems, you will thrive here.

WHAT YOU WILL DO

  • Design and maintain production grade bioinformatics pipelines for a wide range of data modalities, including microarray, cell painting, WGS and WES, spatial transcriptomics, flow cytometry, ATAC-seq, and methyl-seq

  • Build workflows using Nextflow, nf-core modules, or similar engines with a focus on reproducibility, validation, and scalability

  • Implement quality control, validation, and provenance tracking for all supported modalities

  • Collaborate with the Tabular Data Team to ensure pipeline outputs map cleanly into Mithrl’s internal schemas, including variable ID coercions, metadata normalization, and feature name harmonization

  • Work with the Knowledge Curation Team to align outputs with reference genomes, annotations, and biological ontologies

  • Produce structured output artifacts so users can download processed data and supporting metadata directly through the platform

WHAT YOU BRING

Required Qualifications

  • 6 to 8 years of experience in bioinformatics workflow engineering or computational biology

  • Strong experience with Nextflow, nf-core, WDL, CWL, Snakemake, or similar workflow systems

  • Proficiency in Python or R for data processing, QC, and pipeline logic

  • Hands-on experience building pipelines for multiple biological data types, including genomics, single cell, imaging, flow cytometry, spatial data, or epigenomics

  • Ability to design pipelines that are reproducible and containerized using Docker or Singularity

  • Strong understanding of secondary and tertiary data layers and how they integrate with downstream analysis systems

  • Experience integrating pipeline outputs with data stores, schemas, or ML-ready formats

Nice to Have

  • Experience executing pipelines in cloud environments such as AWS Batch, ECS, Tower, or Nextflow Cloud

  • Experience with imaging workflows such as CellProfiler, DeepCell, or Squidpy

  • Familiarity with genomic reference databases, annotation formats, and biological ontologies

  • Previous work in a tech bio startup, biotech R&D group, or scientific software company

WHAT YOU WILL LOVE AT MITHRL

  • You will build the core pipelines that transform raw biological data into insights used by the AI Co-Scientist

  • Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders

  • Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution

  • Speed: We ship fast (2x/week) and improve continuously based on real user feedback

  • Location: Beautiful SF office with a high-energy, in-person culture

  • Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation Range: $150K - $200K