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Remote Computational Biologist Jobs in California

Senior Machine Learning Engineer

Brisbane, CA ยท On-site +1

$147K - $194K/yr

... Computational Science department. The ideal candidate has a strong knowledge in designing and ... Experience working with large-scale genomics or biological datasets. * Experience managing ...

... models, biological foundation models, and lab capabilities, with the ultimate goal of curing ... computational biologists, and software engineers to translate complex research needs into high ...

Demonstrated computational skills using R and SQL, specifically applied to large-scale healthcare ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Showing results 21-37

Remote Computational Biologist information

See California salary details

$47.9K

$92.8K

$131.8K

How much do remote computational biologist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote computational biologist in California is $92,757.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,600.00 and $115,500.00 per year, depending on experience, location, and employer.

What does a typical day look like for a remote computational biologist?

A typical day for a Remote Computational Biologist involves analyzing large-scale biological datasets, writing and debugging code, and interpreting results to support scientific projects or research goals. You'll often collaborate with wet lab scientists, bioinformatics specialists, and project managers through virtual meetings, sharing insights and integrating diverse types of data. Tasks can also include developing or optimizing analysis pipelines and preparing reports or visualizations for team discussions or publications. Flexibility in managing your workflow and strong digital communication skills are important, as you will coordinate with team members across different time zones and locations. This variety of activities ensures continual learning and exposure to cutting-edge research in the life sciences.

What are the key skills and qualifications needed to thrive in the remote computational biologist position, and why are they important?

To thrive as a Remote Computational Biologist, you need a solid background in biology, statistics, and computer science, often supported by a relevant degree (such as bioinformatics or computational biology) and experience with biological data analysis. Proficiency with programming languages like Python or R, familiarity with bioinformatics tools and databases, and knowledge of cloud computing platforms are typically required; advanced degrees or certifications can be advantageous. Strong problem-solving skills, effective written and verbal communication, and the ability to collaborate virtually are valuable soft skills in this remote role. These strengths are critical for accurately interpreting complex data sets, working productively in distributed research teams, and driving impactful scientific discoveries.

What is a remote computational biologist?

A Remote Computational Biologist analyzes biological data using computational techniques, such as machine learning, bioinformatics, and statistical modeling, while working from a remote location. They often collaborate with researchers, biologists, and data scientists to study genomics, drug discovery, disease modeling, or evolutionary biology. Typical responsibilities include writing algorithms, processing large datasets, and interpreting biological patterns. This role requires expertise in programming languages like Python or R and knowledge of bioinformatics tools. Remote work allows flexibility in contributing to research projects for academic institutions, biotech companies, or pharmaceutical firms.

What are the most commonly searched types of Computational Biologist jobs in California? The most popular types of Computational Biologist jobs in California are:
What are popular job titles related to Remote Computational Biologist jobs in California? For Remote Computational Biologist jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Computational Biologist jobs in California look for? The top searched job categories for Remote Computational Biologist jobs in California are:
What cities in California are hiring for Remote Computational Biologist jobs? Cities in California with the most Remote Computational Biologist job openings:
Infographic showing various Remote Computational Biologist job openings in California as of August 2026, with employment types broken down into 61% Full Time, 25% Part Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $92,757 per year, or $44.6 per hour.

Senior Data Engineer (5+ years)

Foresite Labs

San Francisco, CA โ€ข On-site, Remote

$185K - $221K/yr

Full-time

Medical, PTO

Re-posted 27 days ago


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.