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Bioinformatics Engineer Remote Jobs in California

Astrix Inc

AWS Cloud Engineer (Remote)

San Francisco, CA · On-site +1

$40 - $45/hr

... bioinformatics platforms. Position: AWS Cloud Engineer - Python (Contract) Location: Remote (U.S.) Duration: 12-Month Contract (High Potential for Extension) Schedule: Full-Time (40 hours/week ...

LatchBio

AI Biologist - Proteomics

San Francisco, CA · On-site +1

$120K - $180K/yr

Bioinformatics Engineer - Proteomics As molecular data generation and frontier model intelligence ... Remote (globally), hybrid, or onsite in SF (onsite preferred) * Work authorization: OPT visa ...

LatchBio

AI Biologist - Biosurveillance

San Francisco, CA · On-site +1

$120K - $180K/yr

Bioinformatics Engineer - Biosurveillance As molecular data generation and frontier model ... Remote (globally), hybrid, or onsite in SF (onsite preferred) * Work authorization: OPT visa ...

LatchBio

AI Biologist - Variant

San Francisco, CA · On-site +1

$120K - $180K/yr

Bioinformatics Engineer - Variant As molecular data generation and frontier model intelligence ... Remote (globally), hybrid, or onsite in SF (onsite preferred) * Work authorization: OPT visa ...

Tempus

Bioinformatics Scientist

Redwood City, CA · On-site +1

... engineers, and product managers to translate cutting-edge research into clinically actionable ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

LatchBio

AI Biologist - Function

San Francisco, CA · On-site +1

$120K - $180K/yr

Bioinformatics Engineer - Function As molecular data generation and frontier model intelligence ... Remote (globally), hybrid, or onsite in SF (onsite preferred) * Work authorization: OPT visa ...

LatchBio

AI Biologist - Refusal

San Francisco, CA · On-site +1

$120K - $180K/yr

We're seeking a Bioinformatics Engineer to join our Refusal team, working at the frontier of what ... Remote (globally), hybrid, or onsite in SF (onsite preferred) * Work authorization: OPT visa ...

Natera

Principal Software Engineer

South San Francisco, CA · Remote

$162K - $217K/yr

Remote optional Job Type: Full-time About the Role We're seeking a Principal Software Engineer to ... or bioinformatics computing, LIMS or laboratory data systems, workflow orchestration engines ...

Freenome

Staff Machine Learning Scientist

Brisbane, CA · On-site +1

$199K - $283K/yr

... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological ... Engineering, Computational Biology, or Bioinformatics. * 6+ years of postdoc or post-PhD industry ...

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

... bioinformatics, computer science, electrical engineering, or related fields/experience * Strong ... Mountain View, CA (not a remote position) Employment Eligibility: At this time NextSense is only ...

Tempus

Data Scientist II, Outcomes Research

Redwood City, CA · On-site +1

$100K - $150K/yr

Partner with interdisciplinary groups of scientists, engineers, and product developers to translate ... Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ...

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Bioinformatics Engineer Remote information

How do bioinformatics engineers working remotely typically collaborate with cross-functional teams?

Remote Bioinformatics Engineers regularly collaborate with software developers, data scientists, biologists, and clinicians using digital communication and project management tools. Team meetings are often held via video conferencing platforms, and code or data is shared through cloud-based repositories like GitHub or institutional servers. Clear documentation and regular updates are essential to ensure everyone is aligned, and agile methodologies are commonly used to organize work in sprints. This collaborative structure fosters effective teamwork despite the physical distance, allowing for efficient problem-solving and project delivery.

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

To thrive as a Bioinformatics Engineer, you need a solid background in biology, computer science, and statistics, typically supported by a relevant degree such as bioinformatics, computational biology, or computer science. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, Galaxy), and knowledge of cloud computing platforms are essential, along with any certifications in data analysis or cloud services. Strong problem-solving abilities, attention to detail, and effective remote communication are vital soft skills for success in distributed teams. These competencies ensure efficient analysis of complex biological data and seamless collaboration across multidisciplinary, often geographically dispersed, research teams.

What does a bioinformatics engineer do?

A remote Bioinformatics Engineer designs, develops, and maintains computational tools and software for analyzing biological data, such as DNA sequences or protein structures, from a remote location. They collaborate with scientists and researchers to process large datasets, develop algorithms, and interpret results to advance scientific understanding or medical research. Working remotely, they use cloud-based platforms, version control systems, and secure data-sharing tools to effectively contribute to bioinformatics projects. Communication and teamwork are maintained through digital collaboration tools, allowing them to work with international teams.

What is the difference between Bioinformatics Engineer Remote vs Bioinformatics Scientist?

AspectBioinformatics Engineer RemoteBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related field; programming skillsSimilar credentials; often advanced degrees preferred
Work EnvironmentRemote, collaborative with biotech or pharma teamsTypically in research labs or academic settings, but can be remote
Employer & Industry UsageBiotech, pharma, healthcare companiesResearch institutions, biotech firms, academia
Common Search & ComparisonYesYes

The main difference between a Bioinformatics Engineer Remote and a Bioinformatics Scientist lies in their focus areas. Engineers often concentrate on developing tools and pipelines, while Scientists focus on data analysis and research. Both roles require similar educational backgrounds and can be performed remotely, especially in biotech and pharma industries.

What are the most commonly searched types of Bioinformatics Engineer jobs in California? The most popular types of Bioinformatics Engineer jobs in California are:
What are popular job titles related to Bioinformatics Engineer Remote jobs in California? For Bioinformatics Engineer Remote jobs in California, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Engineer Remote jobs in California look for? The top searched job categories for Bioinformatics Engineer Remote jobs in California are:
What cities in California are hiring for Bioinformatics Engineer Remote jobs? Cities in California with the most Bioinformatics Engineer Remote job openings:
Bioinformatics Engineer Remote jobs near you
Infographic showing various Bioinformatics Engineer Remote job openings in California as of August 2026, with employment types broken down into 75% Full Time, 14% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.

Machine Learning Engineer (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$55 - $73/hr

Full-time

Re-posted 14 days ago

Job description

Our client is a leader in healthcare innovation, seamlessly integrating pharmaceutical development, diagnostic solutions, and advanced technology and data capabilities.
Title: Machine Learning Engineer (Contract)
Pay rate: $55-73/hr+ (Depends on experience)
Location: Remote in the US or Canada, or onsite in SSF. Must be available during PST hours.
Duration: Through Dec. 2026 (Likely to get extended)
Overview:
Seeking a Machine Learning Bioinformatics Engineer to develop and deploy advanced ML solutions supporting pharmaceutical R&D. This role focuses on analyzing large-scale, multimodal clinicogenomic datasets (genomic, transcriptomic, clinical, and real-world data) to drive insights into disease biology, patient stratification, and treatment response. Ideal candidates are strong in both machine learning and bioinformatics, with a passion for translating complex data into impactful discoveries.
Key Responsibilities:
  • Build and deploy scalable, production-ready machine learning models
  • Process and analyze genomic and transcriptomic data using bioinformatics pipelines
  • Prepare high-quality, normalized biological datasets for downstream analysis
  • Train large-scale models using frameworks like PyTorch Lightning and Hugging Face
  • Develop cloud-based ML solutions (AWS/GCP) with a focus on scalability and reproducibility
  • Collaborate with cross-functional teams to uncover biomarkers and therapeutic targets
  • Provide technical input and guidance on ML system design and implementation

Qualifications:
  • PhD with 0-2 years of relevant work experience, or MS with 3-5 years of relevant work experience, or BS with 4-7 years of relevant work experience.
  • Proficient programming skills: Strong Python programming skills with extensive experience in ML and data libraries (e.g., NumPy, pandas, PyTorch).
  • Deep ML expertise: Excellent knowledge of modern machine learning methods and development best practices, including training strategies, model validation, performance visualization, and experimental design.
  • Deep bioinformatic expertise: Proficient knowledge of bioinformatic processing pipelines for genomic and transcriptomic variables.
  • Strong knowledge of computational oncology, cancer genomics and analysis of clinicogenomics datasets.
  • Must be authorized to work in the United States

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