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Remote Biotech Jobs in San Ramon, CA (NOW HIRING)

Danaher

Bioprocess Biopharma Account Manager

Palo Alto, CA · Remote

$120K - $150K/yr

... Biotechnology segment at Danaher, we bring together dedicated technical expertise and talent to ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

Danaher

Bioprocess Biopharma Account Manager

San Jose, CA · Remote

$120K - $150K/yr

... Biotechnology segment at Danaher, we bring together dedicated technical expertise and talent to ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

Danaher

Bioprocess Biopharma Account Manager

Fremont, CA · Remote

$120K - $150K/yr

... Biotechnology segment at Danaher, we bring together dedicated technical expertise and talent to ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

Danaher

Bioprocess Biopharma Account Manager

Sunnyvale, CA · Remote

$120K - $150K/yr

... Biotechnology segment at Danaher, we bring together dedicated technical expertise and talent to ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

Danaher

Territory Account Manager

San Francisco, CA · On-site +1

The TAM acts as a trusted advisor to key stakeholders in academia, biotech, pharma, and research ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

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See San Ramon, CA salary details

$17

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$42

How much do remote biotech jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for remote biotech in San Ramon, CA is $30.93, according to ZipRecruiter salary data. Most workers in this role earn between $24.18 and $37.07 per hour, depending on experience, location, and employer.

What Are Remote Biotech Jobs?

Remote biotech jobs include various virtual analytical and experiment design positions for universities, medical research centers, pharmaceutical companies, and biotechnology startups. Typically, in a work from home biotech job, you do not have significant laboratory duties because medical research equipment is expensive and must remain in a carefully regulated lab. Once experiments are completed in a lab, and data has been collected, work from home biotech specialists analyze the information and identify patterns. They then develop new technology to modify the genetics of living organisms, such as agricultural products and experimental medicines.

What are the key skills and qualifications needed to thrive as a Remote Biotech professional, and why are they important?

To thrive as a Remote Biotech professional, you need a strong background in biology or biotechnology, analytical skills, and experience in laboratory research, often supported by a relevant degree such as a BSc, MSc, or PhD. Familiarity with bioinformatics tools, data analysis software, laboratory information management systems (LIMS), and sometimes certifications like GLP or GMP are commonly required. Excellent communication, time management, and self-motivation are crucial soft skills for collaborating with distributed teams and managing independent work. These abilities ensure effective research, data integrity, and seamless project coordination in a remote setting.

What are remote biotech jobs?

Remote biotech jobs are positions within the biotechnology industry that allow professionals to work from locations outside of traditional office or laboratory settings, often from home. These roles may include research, data analysis, regulatory affairs, project management, medical writing, and bioinformatics, among others. Advances in technology and the increasing digitization of biotech workflows have made it possible for many tasks to be completed remotely. Remote biotech jobs offer flexibility and can help companies access a wider talent pool, while employees benefit from improved work-life balance. However, some roles that require hands-on laboratory work may still need to be performed on-site.

How do remote biotech professionals typically collaborate with lab-based teams and ensure effective communication?

Remote biotech professionals often use a combination of digital collaboration tools, regular video meetings, and shared data platforms to stay closely connected with lab-based colleagues. They may participate in virtual experiments planning, data analysis sessions, and project updates to ensure alignment with on-site activities. Clear communication and well-defined protocols are crucial for remote team members to contribute effectively, address challenges promptly, and maintain productivity. Building strong relationships with in-person teams and proactively seeking feedback also play a key role in successful remote collaboration in the biotech industry.
More about Remote Biotech jobs
What are the most commonly searched types of Biotech jobs in San Ramon, CA? The most popular types of Biotech jobs in San Ramon, CA are:
What are popular job titles related to Remote Biotech jobs in San Ramon, CA? For Remote Biotech jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Remote Biotech jobs in San Ramon, CA look for? The top searched job categories for Remote Biotech jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Remote Biotech jobs? Cities near San Ramon, CA with the most Remote Biotech job openings:
Remote Biotech jobs near you
AI Data Engineer - Scientific Data Platforms (Remote)

AI Data Engineer - Scientific Data Platforms (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$35 - $38/hr

Full-time

Re-posted 3 days ago

Job description

Pay Rate Low: 35 | Pay Rate High: 40
Our client is a leading global biotechnology and pharmaceutical organization driven by a mission to innovate, continuously advance science, and ensure everyone has access to the healthcare they need.
Title: AI Data Engineer - Scientific Data Platforms
Location: Remote, Must work PST
Pay rate: $35-38/hr (Depends on experience level)
Schedule: Full-time (40 hours/week)
Duration: 1-year contract, (Plus benefits)
Position Overview
This role addresses a critical need in scaling our AI models for drug discovery by building largely automated, scalable, agent-driven data ingestion and curation pipelines for genomics data. This includes metadata inference, constructing performant query architectures, and transforming high-dimensional datasets (e.g., single-cell omics, clinical trials) into AI-ready training formats.
Key Responsibilities
  • Build an agentic data ingestion pipeline and move beyond bespoke steps toward agents that teams can reliably use as a shared, deployed service.
  • Triage and prioritize incoming requests to ingest specific datasets. Clean and organize data, building the first-pass cleaning and organization steps into the agentic flow.
  • Validate cross-modal linkage. Add automated checks that catch when ingested data does not connect correctly and flag low-quality or mismatched records.
  • Version every dataset, retaining and making prior versions addressable. Preserve raw data and provenance, ensuring agent workflows log validation and transformation steps so lineage is fully traceable.
  • Partner with AI, software engineering, and computational biology groups to co-define data standards and conventions.

Qualifications & Requirements
  • Demonstrated experience building multi-agent workflows or LLM workflows using tools/frameworks such as LangGraph or LlamaIndex, including tool/function calling and asynchronous task execution.
  • Strong Python skills for data manipulation, working with APIs and databases, and handling heterogeneous data formats.
  • Familiarity with dataset versioning approaches (e.g., DVC, lakeFS, or equivalent).
  • Comfortable with or showing a strong willingness to learn common omics data formats like AnnData, H5AD, and TileDB.
  • No deep bioinformatics expertise required; just a basic conceptual understanding of different modalities (e.g., RNA-seq vs. scRNA-seq vs. WES; genomics vs. transcriptomics vs. proteomics vs. metabolomics).
  • Comfortable writing unit and functional tests to ensure data processing workflows are reliable and reproducible.
  • Degree in a technical field or equivalent practical experience.
  • Must be Authorized to work in the United States without Sponsorship.
Nice to Have
  • Experience deploying agent workflows as a shared service (e.g., FastAPI or MCP endpoints).
  • Exposure to cloud platforms (AWS, GCP) and containerization (Docker).
  • Familiarity with scientific workflow managers such as Nextflow or Snakemake.

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