2

Remote Biomedical Engineer Jobs in California (NOW HIRING)

System Engineer [Remote OR Hybrid]

Napa, CA ยท On-site +1

$38.46 - $62.50/hr

System Engineer [Remote OR Hybrid] Department: Professional Services Employment Type: Full Time Location: Napa Compensation: $38.46 - $62.50 / hour Description Location: Remote OR Hybrid You're the ...

System Engineer [Remote OR Hybrid]

Napa, CA ยท On-site +1

$38.46 - $62.50/hr

Remote OR Hybrid You're the kind of person who helps others succeed. You're sharp, resourceful, and ... Career Pathing Purpose Our System Engineers are responsible for designing, implementing, and ...

System Engineer [Remote OR Hybrid]

Napa, CA ยท On-site +1

$38.46 - $62.50/hr

Location: Remote OR Hybrid You're the kind of person who helps others succeed. You're sharp ... Career Pathing Our System Engineers are responsible for designing, implementing, and supporting a ...

Director, Neuro MR

Menlo Park, CA ยท On-site +1

$152K - $228K/yr

D. in Physics, Biomedical Engineering, Electrical Engineering, or a related field. * Minimum of 7 ... Previous experience with GE HealthCare MR systems. #LI-LRG1 #LI-Onsite #LI-Hybrid #LI-Remote We ...

next page

Showing results 1-20

Remote Biomedical Engineer information

See California salary details

$40.5K

$93.6K

$138.2K

How much do remote biomedical engineer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for remote biomedical engineer in California is $93,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $114,500.00 per year, depending on experience, location, and employer.

What are the main challenges faced by remote biomedical engineers, and how can they be addressed?

Remote biomedical engineers often encounter challenges such as limited hands-on access to equipment, coordinating with geographically dispersed teams, and ensuring effective communication with stakeholders. To address these, engineers rely on virtual collaboration platforms, detailed documentation processes, and proactive engagement with both technical and non-technical colleagues. It's important to develop strong time-management habits and seek regular feedback to stay aligned with project goals. As remote work becomes more common, employers are increasingly providing advanced digital tools and resources to help remote biomedical engineers stay productive and connected.

What is a Remote Biomedical Engineer job?

A Remote Biomedical Engineer designs, develops, and maintains medical devices and healthcare technology while working from a remote location. They collaborate with healthcare professionals, manufacturers, and research teams to ensure the safety and efficiency of biomedical equipment. Responsibilities may include troubleshooting medical devices, conducting virtual testing, and ensuring regulatory compliance. Remote Biomedical Engineers use digital tools to analyze data, provide technical support, and contribute to advancements in healthcare technology. This role requires strong problem-solving skills, technical expertise, and effective communication to work with cross-functional teams remotely.

What are the key skills and qualifications needed to thrive in the Remote Biomedical Engineer position, and why are they important?

To thrive as a Remote Biomedical Engineer, you need a degree in biomedical engineering or a related field along with solid analytical, problem-solving, and project management skills. Familiarity with CAD software, medical device regulations (such as FDA or ISO standards), and experience with remote collaboration tools are highly beneficial. Excellent written and verbal communication, self-motivation, and adaptability are critical soft skills for working effectively without direct supervision. These abilities enable successful design, troubleshooting, and support of biomedical devices while collaborating remotely across multidisciplinary teams and meeting regulatory requirements.

What are the most commonly searched types of Biomedical Engineer jobs in California? The most popular types of Biomedical Engineer jobs in California are:
What cities in California are hiring for Remote Biomedical Engineer jobs? Cities in California with the most Remote Biomedical Engineer job openings:
Infographic showing various Remote Biomedical Engineer job openings in California as of June 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $93,566 per year, or $45 per hour.
Senior Data Engineer (5+ years)

Senior Data Engineer (5+ years)

Foresite Labs

San Francisco, CA โ€ข On-site, Remote

$185K - $221K/yr

Other

Medical, PTO

Posted yesterday


Job description

Foresite Labs is a translational R&D team that derives insights from precision measurement and population-scale biology and genetics to address unmet clinical needs. We use human genetics to systematically dissect and understand human disease biology and develop and critically evaluate therapeutic hypotheses. We engage in translational research, transforming basic insights into therapeutic opportunities. Our work supports drug discovery and company formation, and provides the core around which new ideas are realized and incubated. We offer competitive salaries, excellent benefits, a flexible work environment, and the opportunity to learn from top thinkers in various disciplines. Foresite Labs is headquartered in San Francisco and Boston.ย 

What You'll Do

  • Build and own production data infrastructure. Design, implement, and operate deterministic data pipelines that feedย  intelligence layers; ingest clinical, financial, scientific, and commercial data from REST APIs, XML feeds, and file-based sources into clean, queryable analytical layers; own the full lifecycle: pagination, rate limiting, auth, schema drift, idempotency, retries, monitoring, and alerting.
  • Model and curate high-quality data assets. Perform entity resolution, schema design, and quality enforcement across disparate and heterogeneous data sources; ensure downstream models, agents and dashboards operate on clean and trustworthy data.
  • Support AI-native workflows. Build vector infrastructure (e.g., embeddings, indexing, retrieval) and structured data interfaces that GenAI agents and LLM orchestrators depend on; ensure AI layers have the right data in the right shape at the right time.
  • Uphold high engineering standards and collaborate broadly. Lead code and design reviews, establish testing and observability best practices, and mentor peers; partner with ML engineers, computational biologists, and company founders to translate scientific and business goals into maintainable, and scalable technical solutions.
  • Leverage agentic coding tools (Claude Code, Codex, or similar) to accelerate prototyping, refactoring, and debugging.ย 

What You'll Bring

  • 5+ years of professional data engineering experience designing, building, and operating production pipelines end-to-end - including schema design for analytical workloads, entity resolution across messy real-world sources, and data quality enforcement at the pipeline level.
  • Deep fluency in Python and SQL, writing performant, well-tested data transformation code (dbt or similar), with production experience in pipeline orchestration (e.g., Airflow, Prefect) covering DAG design, scheduling, dependency management, retry/backfill patterns, and alerting.
  • Hands-on cloud data stack experience across AWS or GCP (e.g., managed Postgres, object storage, query engines, serverless ETL) and working knowledge of IAM, networking, and infrastructure patterns; comfortable with Spark or Trino at scale over Parquet/Iceberg. Terraform, CDK, or Pulumi experience is a plus.
  • Exposure to vector databases (Pinecone, pgvector, Weaviate, or similar) with an understanding of how embedding-based retrieval fits into LLM-powered applications.
  • Comfortable building and navigating Unix environments, containers (Docker), and CI/CD pipelines (GitHub Actions or similar).
  • Mindset for rapid and earlystage execution: bias for action, ownership of ambiguous problem spaces, and demonstrated ability to prioritize and wear multiple hats.
  • Strong written and verbal communication skills - comfortable explaining complex ideas clearly to technical and nontechnical partners.

Nice to Have

  • Familiarity with biomedical or life sciences data (e.g., clinical trials, genomics, drug discovery, pharma commercial data).
  • Familiarity with LLM application patterns: prompting, context engineering, tool use, structured outputs, retrieval-augmented generation (RAG).
  • Experience with dashboard/BI tooling (Streamlit, Retool, Metabase, or similar).

Why Foresite Labs

  • Impact. Your code will accelerate discovery and bring novel therapeutics closer to patients and will help AI driven scientific innovation.
  • Autonomy. Small, senior teams give you room to architect and own endtoend solutions without heavy bureaucracy.
  • Learning. Work at the intersection of software, cloud infrastructure, and biology alongside experts in each domain.
  • Flexibility & Benefits. Competitive salary and equity, comprehensive healthcare, generous PTO, and hybrid/remote options aligned to our SF or Boston hubs.
  • Ready to build? Apply today and help us create the software foundation that powers the next generation of companies advancing biotech and scientific innovation.

Location: San Francisco, CA

Salary range: $185,000 - $221,400

Foresite Labs is an equal opportunity employer. We thrive on diversity and collaboration.