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Remote Scientific Computing Jobs in Berkeley, CA

Tempus

Bioinformatics Scientist

Redwood City, CA · On-site +1

Proven scientific reputation as demonstrated by scientific publication and/or contribution to ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

New

Golden State

Data Scientist

San Francisco, CA · Remote

$165K/yr

This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive ... Experience with distributed computing and streaming framework a plus * Ability to build positive ...

Golden State

Data Scientist

San Francisco, CA · Remote

$165K/yr

This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive ... Experience with distributed computing and streaming framework a plus * Ability to build positive ...

Biohub

Staff HPC Engineer

San Francisco, CA · On-site +1

Our technology powers scientists around the world, translating AI capabilities into tools that ... This role will help shape strategy, architecture, and operations for high-performance computing ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

... remote. What you'll do: * Implement and refine DL pipelines on distributed computing platforms ... Collaborate closely with ML scientists and software engineers to understand current challenges and ...

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Remote Scientific Computing information

See Berkeley, CA salary details

$17

$38

$64

How much do remote scientific computing jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote scientific computing in Berkeley, CA is $38.54, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $49.13 per hour, depending on experience, location, and employer.

Is remote scientific computing in demand?

Remote scientific computing is in high demand due to the increasing reliance on data analysis, modeling, and simulation across industries such as healthcare, energy, and research. Professionals with skills in programming, data management, and tools like Python, R, or MATLAB are sought after, especially in organizations supporting remote work environments.

What is the difference between Remote Scientific Computing vs Remote Data Analysis?

AspectRemote Scientific ComputingRemote Data Analysis
Required CredentialsTypically requires degrees in science, engineering, or computer science; knowledge of programming and simulation toolsOften requires degrees in statistics, data science, or related fields; proficiency in data manipulation and visualization
Work EnvironmentResearch labs, academic institutions, or corporate R&D; often involves high-performance computingBusiness, finance, healthcare sectors; primarily involves analyzing datasets and generating reports
Employer & Industry UsageResearch institutions, tech companies, scientific organizationsFinancial firms, healthcare providers, marketing agencies

Remote Scientific Computing focuses on developing and running simulations, models, and scientific computations, often requiring specialized software and high-performance hardware. Remote Data Analysis centers on interpreting datasets, creating visualizations, and deriving insights, typically using statistical tools. While both roles involve data and programming, their core tasks and industries differ significantly.

What are popular job titles related to Remote Scientific Computing jobs in Berkeley, CA? For Remote Scientific Computing jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Remote Scientific Computing jobs in Berkeley, CA look for? The top searched job categories for Remote Scientific Computing jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Remote Scientific Computing jobs? Cities near Berkeley, CA with the most Remote Scientific Computing job openings:
Remote Scientific Computing jobs near you
Infographic showing various Remote Scientific Computing job openings in Berkeley, CA as of June 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 41% Physical, 4% Hybrid, and 55% Remote job distribution, with an average salary of $80,168 per year, or $38.5 per hour.

Member of the Technical Staff

Absentia Labs

San Francisco, CA • Remote

Full-time

Re-posted 29 days ago

Job description

We are always looking for exceptional engineers interested in building the future of AI-enabled drug development, predictive biology, and computational safety infrastructure. If you are excited about working at the intersection of AI, biotech, translational medicine, and scalable scientific systems, we would love to hear from you.


About the Role

Absentia Labs is building AI-driven mechanistic toxicology and translational safety infrastructure designed to improve how biological risk and organ-level toxicity are understood earlier in drug development. Our platform integrates large-scale biological, chemical, and experimental datasets to support predictive, human-relevant safety assessment and New Approach Methodologies (NAMs).

We are looking for highly motivated engineers with broad backgrounds who are excited to solve technically challenging problems in AI, biology, infrastructure, and scientific computing. This is a general application for candidates who may fit current or future engineering needs as the company grows.


Areas of interest may include:

  • Machine learning and AI infrastructure

  • Computational biology and bioinformatics

  • Backend and distributed systems

  • Data engineering and data platforms

  • Scientific software engineering

  • Full-stack product engineering

  • Cloud infrastructure and MLOps

  • Applied AI research

  • Visualization and scientific interfaces


What We Look For

  • Strong technical fundamentals and problem-solving ability

  • Interest in mission-driven work within biotechnology and healthcare

  • Ability to operate in fast-moving, ambiguous startup environments

  • Curiosity, ownership, and willingness to learn across disciplines

  • Experience building scalable systems, models, or products

  • Strong communication and collaboration skills

Nice to Have

  • Experience in biotech, healthcare, life sciences, or scientific computing

  • Familiarity with machine learning workflows or biological datasets

  • Startup or early-stage company experience

  • Interest in translational medicine, toxicology, or computational drug development

Location

Hybrid and remote-friendly depending on role. Preference for candidates open to working closely with the founding team in Boston.


Why Absentia Labs

  1. Work on scientifically meaningful problems with real-world impact

  2. Help shape a foundational platform at the intersection of AI and biology

  3. Collaborate with pharmaceutical, academic, and regulatory stakeholders

  4. Early-stage ownership and opportunity for outsized impact

  5. Mission-driven team focused on improving translational safety and reducing unnecessary animal testing