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Bioinformatic Remote Jobs in Novato, CA (NOW HIRING)

... 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 ...

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 ...

AI Biologist

San Francisco, CA · Remote

$120K - $180K/yr

About the job Bioinformatics Engineer/AI Biologist - Biosurveillance As molecular data generation ... Remote (globally), hybrid, or onsite in SF (onsite preferred) * Work authorization: OPT visa ...

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

AI Biologist

San Francisco, CA · Remote

$120K - $180K/yr

About the job Bioinformatics Engineer/AI Biologist - Biosurveillance As molecular data generation ... Remote (globally), hybrid, or onsite in SF (onsite preferred) * Work authorization: OPT visa ...

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 ...

AI Biologist - Metagenomics

San Francisco, CA · On-site +1

$120K - $180K/yr

Master's or PhD in microbiology, microbial ecology, bioinformatics, biology, or related field * 3+ ... Remote (globally), hybrid, or onsite in SF (onsite preferred) * Work authorization: OPT visa ...

AI Biologist - Function

San Francisco, CA · On-site +1

$120K - $180K/yr

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

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 ...

Bioinformatic Remote information

See Novato, CA salary details

$64K

$112.9K

$163.2K

How much do bioinformatic remote jobs pay per year?

As of Sep 3, 2026, the average yearly pay for bioinformatic remote in Novato, CA is $112,909.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $128,600.00 per year, depending on experience, location, and employer.

What is the difference between Bioinformatic Remote vs Bioinformatics Technician?

AspectBioinformatic RemoteBioinformatics Technician
CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldsAssociate's or Bachelor's in Bioinformatics, Biology, or related fields
Work EnvironmentRemote, often from home or flexible locationsLaboratory or office-based, on-site work
Employer & IndustryResearch institutions, biotech companies, academia, often remote rolesHospitals, research labs, biotech firms, typically on-site
Work FocusData analysis, software development, computational researchSample processing, data collection, laboratory tasks

In summary, Bioinformatic Remote roles focus on computational data analysis and software tasks often performed remotely, while Bioinformatics Technicians typically work on laboratory-based sample processing and data collection on-site. Both roles require related credentials but differ mainly in work environment and daily responsibilities.

What job categories do people searching Bioinformatic Remote jobs in Novato, CA look for?

The top searched job categories for Bioinformatic Remote jobs in Novato, CA are:

What cities near Novato, CA are hiring for Bioinformatic Remote jobs?

Cities near Novato, CA with the most Bioinformatic Remote job openings:

Machine Learning Engineer (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$55 - $73/hr

Full-time

Re-posted 7 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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