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Software Engineer Biology Jobs in California (NOW HIRING)

Act as a senior technical leader to build the software platform for programmable biology, developing production-grade backend services and APIs for our Virtual Cell products. * Design clean, robust ...

Tamarind Bio is seeking exceptional Founding Software Engineers to scale their computational biology platform that powers drug discovery. In this role, you will design, build, and scale ...

They are seeking a Software Engineer to own engineering systems that support research and product ... RNA biology, or other -omics data. • Experience shipping software into regulated, security ...

Software Engineer

San Francisco, CA · On-site

$180K - $250K/yr

We released the first rigorous benchmark suites for biology agents. They contain hundreds of real ... We need engineers to build the infrastructure that powers our benchmarking pipeline - data ...

We released the first rigorous benchmark suites for biology agents. They contain hundreds of real ... We need engineers to build the infrastructure that powers our benchmarking pipeline - data ...

Software Engineer

San Francisco, CA · On-site

$180 - $250/hr

We released the first rigorous benchmark suites for biology agents. They contain hundreds of real ... We need engineers to build the infrastructure that powers our benchmarking pipeline - data ...

Software Engineer

San Francisco, CA · On-site

$108 - $135/hr

Our highly motivated Software Engineers work on these challenging problems and build the systems ... Biological, adoptive, and foster parents are all eligible * Subsidized commuter benefits * Monthly ...

Our highly motivated Software Engineers work on these challenging problems and build the systems ... Biological, adoptive, and foster parents are all eligible * Subsidized commuter benefits * Monthly ...

Tetsuwan Scientific is a company focused on improving biological research through automation and robotics. They are seeking a Software Engineer to join their small team, working on a complex codebase ...

Our highly motivated Software Engineers work on these challenging problems and build the systems ... Biological, adoptive, and foster parents are all eligible * Subsidized commuter benefits * Monthly ...

Software Engineer II

Emeryville, CA

$112K - $154K/yr

Software Engineer II RESEARCH AND DEVELOPMENT - BIOINFORMATICS AND SOFTWARE ENGINEERING We are ... synthetic biology platform on the planet. Client X manufactures sustainable plant-derived ...

... software that significantly impacts drug discovery. Responsibilities : • Build and own core ... engineer biology across the life sciences, starting with drug development. Founded in 2025, the ...

Software Engineer

Pasadena, CA · On-site

$68K - $112K/yr

This project will directly impact various scientific fields, including chemistry, biology, and materials science, with applications in tech and medicine. As Software Engineer, you will help build the ...

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Software Engineer Biology information

What is a software engineer biology?

Software Engineer Biology professionals are specialists who combine software engineering skills with a strong understanding of biological sciences. They develop software tools, algorithms, and data analysis pipelines to help researchers analyze biological data, such as genetic sequences or protein structures. Their work is essential in fields like bioinformatics, computational biology, and biotechnology, where large-scale data processing is needed. By bridging the gap between biology and technology, they support scientific discoveries and the development of new medical treatments.

How do software engineers specializing in biology typically collaborate with biologists and researchers on projects?

Software engineers in biology often work closely with multidisciplinary teams, including biologists, data scientists, and laboratory researchers. They play a crucial role in translating biological questions into computational problems, designing tools, and developing software pipelines that enable efficient data analysis and visualization. Regular meetings, code reviews, and collaborative problem-solving sessions are common, ensuring that technical solutions align with scientific goals. This teamwork not only enhances the quality of research but also provides valuable opportunities for software engineers to deepen their domain knowledge and grow professionally.

What are the key skills and qualifications needed to thrive as a software engineer in biology, and why are they important?

To thrive as a Software Engineer in Biology, you need a solid background in computer science, proficiency in at least one programming language (such as Python or R), and a foundational understanding of biological concepts or bioinformatics. Familiarity with bioinformatics databases, genomic data analysis tools, and version control systems like Git is typically required, along with relevant certifications or coursework. Strong problem-solving abilities, effective communication, and an aptitude for interdisciplinary collaboration help you stand out in this field. These skills are crucial to efficiently develop and maintain software solutions that address complex biological research challenges and foster innovation within life sciences teams.

What is the difference between Software Engineer Biology vs Bioinformatics Software Engineer?

AspectSoftware Engineer BiologyBioinformatics Software Engineer
Required CredentialsBachelor's or Master's in Biology, Computer Science, or related fieldsBachelor's or Master's in Bioinformatics, Computer Science, or related fields
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, biotech firms, healthcare tech companies
Industry UsageDevelops software for biological research, healthcare applicationsCreates algorithms and tools for biological data analysis
Common Search/ComparisonSoftware Engineer Biology vs Bioinformatics Software Engineer

Both roles involve software development in biological contexts, but Software Engineer Biology focuses on creating applications for biological research and healthcare, while Bioinformatics Software Engineers specialize in analyzing biological data using algorithms and computational tools. The credentials and work environments overlap significantly, making them closely related but distinct career paths.

What are popular job titles related to Software Engineer Biology jobs in California?

For Software Engineer Biology jobs in California, the most frequently searched job titles are:

What job categories do people searching Software Engineer Biology jobs in California look for?

The top searched job categories for Software Engineer Biology jobs in California are:

What cities in California are hiring for Software Engineer Biology jobs?

Cities in California with the most Software Engineer Biology job openings:

Infographic showing various Software Engineer Biology job openings in California as of August 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 87% In-person, 4% Hybrid, and 9% Remote job distribution.

Staff / Principal Software Engineer

GenBio AI

Palo Alto, CA • On-site

$250K - $350K/yr

Full-time

Posted 6 days ago


Job description

GenBio AI is building the Virtual Cell World Model - a persistent, multimodal AI system that predicts, simulates, and ultimately programs cellular behavior. Rather than producing isolated predictions, the Virtual Cell enables scientists to query cellular states, perform virtual perturbations, and design new biological interventions within a unified computational world. Together with AIDO Foundry, our AI-native engineering framework for automating Virtual Cell development, we are building the software infrastructure for the next generation of AI-driven drug discovery.
We are seeking an experienced Staff to Principal-level Software Engineer to build the user-facing platform that brings these capabilities to computational biologists, experimental scientists, and pharmaceutical researchers. This is a senior individual contributor role for engineers who enjoy solving challenging systems problems while working closely with AI researchers and product teams.
Responsibilities
  • Act as a senior technical leader to build the software platform for programmable biology, developing production-grade backend services and APIs for our Virtual Cell products.
  • Design clean, robust interfaces that seamlessly connect frontend applications, core business logic, massive biological databases, and state-of-the-art AI inference engines.
  • Architect and develop highly scalable systems for complex biological simulations, experiment management, workflow orchestration, and the processing of multimodal biological data.
  • Drive continuous improvements in platform performance and reliability through highly efficient architecture design, strategic caching, asynchronous execution, and optimized distributed infrastructure.
  • Collaborate closely with AI researchers to translate cutting-edge foundation models into reliable, user-facing scientific products that enable virtual perturbations and hypothesis generation.
  • Work cross-functionally across frontend, backend, infrastructure, and machine learning teams to deliver deeply intuitive computational experiences for biologists, experimental scientists, and pharmaceutical researchers.

Qualifications:
  • Extensive industry experience (typically 8+ years) operating at a Staff or Principal level, with a proven track record of building production web services, scalable APIs, and complex distributed backend systems.
  • Exceptional software engineering fundamentals, demonstrating a mastery of clean architecture, modular system design, and the ability to write highly maintainable, performant code.
  • Deep, hands-on experience integrating large-scale AI, LLMs, or machine learning inference systems into highly available production environments.
  • Proven ability to solve challenging, ambiguous systems problems from the ground up, moving from concept to scalable execution.
  • Outstanding cross-functional communication and leadership skills, with the ability to bridge the gap between deeply technical engineering teams, AI researchers, and scientific product teams.

Preferred Qualifications:
  • Domain knowledge or prior experience working with computational biology, genomics, transcriptomics, protein/molecular structures, healthcare, or scientific software.
  • Familiarity with building tools for scientific simulation, automated laboratory experiment management, or complex workflow orchestration.
  • Experience building unified computational frameworks (similar to our AIDO Foundry) that accelerate the development and deployment of AI-native platforms.

$250,000 - $350,000 a year
Join us as we embark on this journey to redefine the future of biology and medicine.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security's E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.