ZipRecruiter

Log In

2

Biomarker Remote Jobs in California (NOW HIRING)

Tempus

Bioinformatics Scientist

Redwood City, CA · On-site +1

High-Sensitivity Biomarker Detection: Develop, tune, and optimize novel assays, algorithms, machine ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Travere

Director, Translational Immunology

San Diego, CA · On-site +1

San Diego, USA- Remote Be a part of a global team that is inspired to make a difference in the ... Translational Science and Biomarkers * Develop translational strategies linking mechanism of action ...

Oura

Senior UX Researcher, Human Care

San Francisco, CA · On-site +1

This is a hybrid-remote role, with the expectation to work from our San Francisco offices at least ... Develop research-backed frameworks for how Oura surfaces clinical-grade data (biomarkers, lab ...

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

You will design, implement, and lead innovative research to develop novel digital biomarkers and ... Mountain View, CA (not a remote position) Employment Eligibility: At this time NextSense is only ...

Travere

Chief Scientific Officer

San Diego, CA · On-site +1

San Diego, USA- Remote Be a part of a global team that is inspired to make a difference in the ... and toxicology, biomarker sciences, medical genetics, newborn screening, and scientific ...

Tarsus Pharmaceuticals

Director, Toxicology

Irvine, CA · On-site +1

Build out the Toxicology program and Bio-analytics and biomarker capacity * Authoring and review of ... Remote work is an option. * We are passionate about our culture! Our Tarsans live our values of ...

next page

Showing results 1-20

All JobsBiomarker JobsBiomarker Remote JobsBiomarker Remote Jobs in California

Biomarker Remote information

What is a biomarker remote?

A Biomarker Remote job typically involves working with biological markers (biomarkers) to support research, drug development, or clinical trials, all while working remotely. Professionals in this role analyze data, interpret results, and communicate findings related to biomarkers, which are measurable indicators of biological processes or diseases. Remote biomarker specialists may collaborate with teams virtually, use specialized software, and contribute to scientific publications or regulatory submissions. This position requires strong analytical skills, knowledge of bioinformatics or laboratory methods, and effective remote communication.

What are the key skills and qualifications needed to thrive as a biomarker remote specialist, and why are they important?

To thrive as a Biomarker Remote Specialist, you need a strong background in molecular biology, biostatistics, and clinical research, often supported by a relevant degree (e.g., biology, biochemistry) and experience in biomarker discovery or validation. Familiarity with data analysis tools, laboratory information management systems (LIMS), and possibly certifications in clinical research are typically required. Excellent attention to detail, communication skills, and the ability to work independently in a remote setting are crucial soft skills. These competencies ensure accurate data analysis, effective collaboration with research teams, and reliable remote work performance, which are vital for advancing biomarker research and supporting clinical trials.

How does a remote biomarker specialist typically collaborate with cross-functional teams to drive project success?

As a remote Biomarker Specialist, you will regularly interact with multidisciplinary teams including clinical operations, data management, and bioinformatics. Collaboration is often facilitated through virtual meetings, shared digital platforms, and real-time data dashboards, ensuring alignment on study goals and timelines. Clear communication and proactive participation are crucial to overcoming challenges such as time zone differences and maintaining data integrity. This role often provides opportunities to take on leadership tasks in project meetings and contribute to the strategic direction of biomarker discovery and validation.

What is the difference between Biomarker Remote vs Laboratory Technician?

AspectBiomarker RemoteLaboratory Technician
Required CredentialsBachelor's in Life Sciences, certifications in biomarker analysisAssociate's or Bachelor's in Laboratory Science or related field
Work EnvironmentRemote, data analysis, report writingLaboratory setting, hands-on sample processing
Employer & Industry UsageBiotech, pharmaceutical, research firmsHospitals, research labs, diagnostic centers
Common Search & ComparisonBiomarker Remote vs Laboratory Technician

Biomarker Remote roles primarily involve data analysis and report writing from a remote location, requiring specialized knowledge in biomarkers. Laboratory Technicians work onsite in labs, handling samples and conducting tests. While both roles are essential in biomedical research, they differ in work environment and daily tasks, with Biomarker Remote focusing on analysis and Laboratory Technicians on hands-on sample processing.

What are the most commonly searched types of Biomarker jobs in California? The most popular types of Biomarker jobs in California are:
What are popular job titles related to Biomarker Remote jobs in California? For Biomarker Remote jobs in California, the most frequently searched job titles are:
What job categories do people searching Biomarker Remote jobs in California look for? The top searched job categories for Biomarker Remote jobs in California are:
What cities in California are hiring for Biomarker Remote jobs? Cities in California with the most Biomarker Remote job openings:
Biomarker Remote jobs near you
Infographic showing various Biomarker Remote job openings in California as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% 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 12 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

INDBH
#LI-MG1

Apply