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Full Time Bioinformatics Software Engineer Jobs in California

ROSALIND

Bioinformatics Engineer

San Diego, CA · On-site

As a Bioinformatics Engineer, you will develop software for analyzing and visualizing complex biological data while collaborating with Front-End and Cloud Infrastructure Engineering teams.

The Rockridge Group

Software Engineer II

Emeryville, CA

$112K - $154K/yr

Software Engineer II RESEARCH AND DEVELOPMENT - BIOINFORMATICS AND SOFTWARE ENGINEERING We are seeking talented, curious, and self-motivated software engineers to help build the most advanced ...

BillionToOne

Quality Engineer, Prenatal

Union City, CA · On-site

$82K - $105K/yr

  • Medical

  • Retirement

  • PTO

Lab Operations, Bioinformatics, Process Engineering, Software Engineering, R&D). You will lead the analysis of data to identify improvement initiatives and will execute those process improvements ...

GRAIL

Staff Software Engineer - Data Team #4555

Sunnyvale, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is a software engineering role focused on building complex production-grade systems that work ... bioinformatics or a related discipline The expected, full-time, annual base pay scale for this ...

GRAIL

Staff Software Engineer - Data Team #4555

Sunnyvale, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is a software engineering role focused on building complex production-grade systems that work ... bioinformatics or a related discipline The expected, full-time, annual base pay scale for this ...

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Full Time Bioinformatics Software Engineer information

What is the difference between Full Time Bioinformatics Software Engineer vs Bioinformatics Data Analyst?

AspectFull Time Bioinformatics Software EngineerBioinformatics Data Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related field; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related field; data analysis skills
Work EnvironmentDevelops software tools, algorithms, and pipelines in research or industry labsAnalyzes biological data, generates reports, and visualizations in research or healthcare settings
Employer & Industry UsageTech companies, biotech firms, research institutionsHealthcare providers, research labs, pharmaceutical companies

Full Time Bioinformatics Software Engineers focus on developing software solutions and algorithms, while Bioinformatics Data Analysts primarily interpret biological data and generate insights. Both roles require strong computational skills but differ in their core responsibilities and daily tasks.

Is a full time bioinformatics software engineer still a viable career?

A full-time bioinformatics software engineer remains a viable career due to ongoing advancements in genomics, personalized medicine, and data analysis. The role requires skills in programming, data management, and familiarity with tools like Python, R, and Linux, with demand driven by research institutions, biotech companies, and healthcare organizations.

What are the most commonly searched types of Bioinformatics Software Engineer jobs in California?

The most popular types of Bioinformatics Software Engineer jobs in California are:

What are popular job titles related to Full Time Bioinformatics Software Engineer jobs in California?

For Full Time Bioinformatics Software Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Full Time Bioinformatics Software Engineer jobs in California look for?

The top searched job categories for Full Time Bioinformatics Software Engineer jobs in California are:

Full Time Bioinformatics Software Engineer jobs near you
Infographic showing various Full Time Bioinformatics Software Engineer job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 95% In-person, and 5% Hybrid job distribution.

Senior Scientific Software Engineer, Analytics and Workflows

Genentech, Inc.

South San Francisco, CA • On-site

Full-time

Re-posted 19 hours ago

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

11th of 86 rated pharmaceutical

Job description

A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche.
Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
The Analytics and Workflows group within the Center of Excellence (CoE) is dedicated to turning complex data into actionable insights that advance drug discovery and development. We leverage cutting-edge high-throughput technologies and foundational multimodal machine learning models to analyze large-scale biological data, enabling deeper understanding of disease mechanisms and the identification of novel therapeutic opportunities. Despite advances in these fields, however, transforming raw data and computational models into meaningful biological insights remains a key challenge. In this role, you'll work at the intersection of data science, biology, and engineering to build innovative analytical tools that bridge the gap between data generation and biological interpretation-helping unlock new avenues for scientific discovery and impact.
The Opportunity:
Genentech seeks a talented and highly motivated Bioinformatics Software Engineer with expert knowledge of reproducible and scalable analysis of proteomics and genomic datasets for target and biomarker discovery.
  • The primary focus of this position is to establish new and maintain existing workflows, libraries and visualizations for the analysis and QC of proteomics and genomics data.
  • You will evaluate, refine, and productionize analytical workflows that enable our scientists to interrogate biology and make drug pipeline relevant decisions.
  • You are facilitating data reuse, multi-modal analyses and AI/ML efforts by fostering the adoption of standardized data formats and repositories.
  • You will deeply engage with computational scientists to understand their analytical needs and turn these into reusable components. To achieve this outcome you confidently evaluate and combine open-source, commercial and in-house developed solutions and combine them into reliable, cutting edge applications.
  • A successful candidate will collaborate with interdisciplinary teams of Software Engineers, Computational Biology and Data Scientists to develop scientific workflows and tools that make data available to machines and humans using a variety of interfaces.

Who You Are:
  • You have a PhD in Software Engineering, Computer Science, Bioinformatics, or similar and 2 years of relevant experience in a clinical, academic or commercial setting. Alternatively, a Masters degree or equivalent and at least 5 years of relevant experience.
  • You have successfully analyzed complex biological datasets using a modern data science framework and are familiar with major tools and statistical methods used during the analysis of various omics modalities.
  • You have expert knowledge of proteomics analysis and can rapidly identify, diagnose and mitigate unlikely or surprising results.
  • You have successfully delivered a software project throughout the whole development cycle (planning, implementation, testing, release, maintenance) following modern software development practices and are using AI expert assistance in all stages of your work.
  • You are comfortable working with MCPs, REST APIs and other modern data science programmatic interfaces.
  • You have abundant experience in managing FAIR data as well as tracking data lineage, ensuring data quality and improving data discovery.
  • You are able to break down large problems into smaller software components and can develop them independently or as part of a large team.
  • You are comfortable working both independently and collaboratively, and with handling several concurrent, fast-paced projects.
  • Experience with Bioconductor and the Tidyverse ecosystem, as well as RMarkdown / Quarto, and Shiny and Plumber deployment, are beneficial.
  • Experience with Python technologies (e.g. Pandas, Polars, Streamlit, FastAPI) is a plus as many of our stakeholders and systems are bilingual (R/python).
  • Prior experience in a life science or drug development environment is beneficial.

What to expect from us
  • A highly collaborative and dynamic research environment where we aim to advance the rate of scientific discovery using purposefully built solutions.
  • Access to large data sets, samples and compute resources.
  • Access to state-of-the-art technologies and pioneering research.
  • Participation in seminar series featuring academic and industry scientists.
  • Campus-like lifestyle with a healthy work-life balance.
  • Mentored opportunities to further develop professional skills.

Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week.
Relocation benefits are not available for this job posting.
The expected salary range for this position, based on the primary location of South San Francisco, is $142,500 - $264,700 of hiring range. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
#LI-JD1
#ComputationCoE
#tech4lifeComputationalScience
#tech4lifeAI
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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