ZipRecruiter

Log In

1

Senior Bioinformatics Machine Learning Jobs in California

ROSALIND

Bioinformatics Engineer

San Diego, CA · On-site

... machine learning algorithms for implementation within the ROSALIND multi-tenant SaaS platform • Be flexible and passionate about bioinformatics alchemy to support greater discovery into biology ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

As a member of our multidisciplinary team, you will collaborate with experts in machine learning, molecular simulation, optimization, and bioinformatics, and interface with experimentalists ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

As a member of our multidisciplinary team, you will collaborate with experts in machine learning, molecular simulation, optimization, and bioinformatics, and interface with experimentalists ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

$9.7K/wk

As a member of our multidisciplinary team, you will collaborate with experts in machine learning, molecular simulation, optimization, and bioinformatics, and interface with experimentalists ...

previous page

Showing results 41-60

All JobsBioinformatics Machine Learning JobsSenior Bioinformatics Machine Learning JobsSenior Bioinformatics Machine Learning Jobs in California

Senior Bioinformatics Machine Learning information

What is the difference between Senior Bioinformatics Machine Learning vs Bioinformatics Data Analyst?

AspectSenior Bioinformatics Machine LearningBioinformatics Data Analyst
Required CredentialsAdvanced degrees in bioinformatics, computer science, or related fields; experience with machine learningBachelor's or master's in bioinformatics, biology, or related fields; proficiency in data analysis tools
Work EnvironmentResearch labs, biotech companies, or pharma; focus on developing ML modelsData interpretation, reporting, and visualization in research or clinical settings
Employer & Industry UsageUsed in biotech, pharma, research institutions for complex data modelingCommon in healthcare, research, and biotech for data management and reporting

The main difference is that Senior Bioinformatics Machine Learning specialists focus on developing and applying machine learning models to biological data, requiring advanced technical skills. Bioinformatics Data Analysts primarily interpret and visualize data, with less emphasis on machine learning techniques.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in California?

The most popular types of Bioinformatics Machine Learning jobs in California are:

What are popular job titles related to Senior Bioinformatics Machine Learning jobs in California?

For Senior Bioinformatics Machine Learning jobs in California, the most frequently searched job titles are:

What job categories do people searching Senior Bioinformatics Machine Learning jobs in California look for?

The top searched job categories for Senior Bioinformatics Machine Learning jobs in California are:

What cities in California are hiring for Senior Bioinformatics Machine Learning jobs?

Cities in California with the most Senior Bioinformatics Machine Learning job openings:

Senior Bioinformatics Machine Learning jobs near you
Infographic showing various Senior Bioinformatics Machine Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Staff Engineer/Scientist, Bioinformatics

San Diego Stealth Startup

San Diego, CA • On-site

$202K - $215K/yr

Full-time

Re-posted 5 days ago

Job description

Location: San Diego, CA

Job Type: Full-Time

Salary $202,000 - $215,000


Position Overview

The Senior Staff Engineer, Bioinformatics will develop, advance, and support large-scale analysis of multi-omic data, through application of existing and novel methods. They will be responsible for developing scalable pipelines for cloud and HPC environments. The ideal candidate combines strong expertise in data science and software development, along with the ability to work cross-functionally with wet-lab and commercial teams.

Key Responsibilities

  • Analyze large-scale multi-omic data to delineate technical artifacts from biological signals.
  • Design and implement novel computational methods to improve signal detection and reduce compute costs.
  • Develop and maintain robust analysis pipelines.
  • Build and optimize reproducible workflows in cloud and HPC environments with attention to cost and scalability.
  • Identify and resolve technical artifacts through cohort-level and assay-aware analysis.
  • Partner with wet-lab scientists to diagnose and address assay artifacts.
  • Communicate findings clearly and contribute to technical decision-making.

Qualifications

Education:

  • Ph.D. in computational biology, computer science, statistics, genomics, or related field

Required:

  • 6+ years of professional experience in bioinformatics or closely related roles.
  • Ability to distinguish biological signal from technical noise using a variety of statistical, machine learning and deep learning methodologies.
  • Proficiency in programming languages frequently used for both ad hoc and scalable production multi-omic analyses.
  • Experience developing reproducible workflows in cloud or HPC environments.

Preferred:

  • Experience optimizing compute costs at scale
  • Experience developing commercial products

Why Join Us

  • Work in a dynamic, collaborative environment where innovation and scientific rigor are deeply valued.
  • Join a seasoned and multidisciplinary team tackling high-impact problems at the intersection of science and engineering.
  • Competitive compensation and equity package, comprehensive benefits, and flexibility to support work-life integration.

We are an equal opportunity employer. We thrive on diversity and collaboration.