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Virtual Scientific Computing Jobs in California (NOW HIRING)

Lam Research Corporation

Process Engineer 3

Fremont, CA · On-site

$86K - $192K/yr

Highly proficient in MATLAB, Python, or other similar scientific computing language. * Working ... Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier ...

Lam Research Corporation

Process Engineer 4

Fremont, CA · On-site

$104K - $231K/yr

Highly proficient in MATLAB, Python, or other similar scientific computing language. * Working ... Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier ...

Lam Research Corporation

Process Engineer 3

Fremont, CA · On-site

$104K - $192K/yr

Highly proficient in MATLAB, Python, or other similar scientific computing language. * Working ... Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier ...

Lam Research Corporation

Process Engineer 4

Fremont, CA · On-site

$104K - $231K/yr

Highly proficient in MATLAB, Python, or other similar scientific computing language. * Working ... Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier ...

Lam Research Corporation

Process Engineer 3

Fremont, CA · On-site

$86K - $192K/yr

Highly proficient in MATLAB, Python, or other similar scientific computing language. * Working ... Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier ...

Lam Research Corporation

Process Engineer 3

Fremont, CA · On-site

$86K - $192K/yr

Highly proficient in MATLAB, Python, or other similar scientific computing language. * Working ... Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier ...

Lam Research Corporation

Process Engineer 4

Fremont, CA · On-site

$104K - $231K/yr

Highly proficient in MATLAB, Python, or other similar scientific computing language. * Working ... Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier ...

Lam Research Corporation

Process Engineer 3

Fremont, CA · On-site

$86K - $192K/yr

Highly proficient in MATLAB, Python, or other similar scientific computing language. * Working ... Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier ...

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Virtual Scientific Computing information

What is virtual scientific computing?

Virtual scientific computing refers to the use of cloud-based or remote computational resources to perform scientific research and analysis. Instead of relying solely on local hardware, scientists access high-performance computing environments, data storage, and specialized software through the internet. This approach enables greater flexibility, scalability, and collaboration, allowing researchers to run complex simulations, analyze large datasets, and share results with colleagues worldwide. Virtual scientific computing is widely used in fields such as physics, chemistry, biology, and engineering.

What are some typical challenges faced by professionals in Virtual Scientific Computing roles, and how can they be addressed?

Professionals in Virtual Scientific Computing often encounter challenges such as managing large-scale simulations, ensuring computational accuracy, and optimizing performance across diverse hardware architectures. Collaborating effectively with multidisciplinary teams—such as scientists, engineers, and IT specialists—can also be complex due to varying technical backgrounds. Addressing these challenges usually involves continuous learning, leveraging robust collaboration tools, and staying updated on the latest computational methods and best practices to ensure efficient and accurate results.

What are the key skills and qualifications needed to thrive in Virtual Scientific Computing, and why are they important?

To thrive in Virtual Scientific Computing, you need a solid background in mathematics, programming (often Python, C++, or MATLAB), and computational science, typically supported by a relevant degree. Familiarity with high-performance computing (HPC) environments, cloud computing platforms, and simulation software is commonly required. Strong analytical thinking, problem-solving ability, and effective collaboration are vital soft skills for excelling in multidisciplinary teams. These competencies are crucial for efficiently solving complex scientific problems and advancing research using computational methods.
What are the most commonly searched types of Scientific Computing jobs in California? The most popular types of Scientific Computing jobs in California are:
What are popular job titles related to Virtual Scientific Computing jobs in California? For Virtual Scientific Computing jobs in California, the most frequently searched job titles are:
What job categories do people searching Virtual Scientific Computing jobs in California look for? The top searched job categories for Virtual Scientific Computing jobs in California are:
What cities in California are hiring for Virtual Scientific Computing jobs? Cities in California with the most Virtual Scientific Computing job openings:
Virtual Scientific Computing jobs near you

Senior Machine Learning Scientist

Tahoe Therapeutics

South San Francisco, CA

$200K - $275K/yr

Other

Medical, Dental, Vision, PTO

Re-posted 5 days ago

Job description

About Tahoe Therapeutics
Tahoe Therapeutics is a biotechnology company pioneering a fundamentally new approach to drug discovery, one that begins with the biology of real patients. Our Mosaic platform is the first to make in vivo data generation scalable, with single-cell resolution, allowing us to map how drugs affect patient-derived cells in the body across a wide range of biological contexts. We are building the world's largest in vivo single-cell perturbation atlas and using it to train multimodal foundation models that learn the context-dependent nature of gene function, disease progression, and drug response.By combining cutting-edge machine learning with the most biologically relevant datasets ever assembled in drug discovery, our mission is to find better drugs, faster and bring them to more patients who need them.

Your role
With Tahoe-100M, we solved one of the fundamental bottlenecks in building a virtual model of the cell: generating massive, perturbation-rich, single-cell datasets that capture real biological causality. With Tahoe-x1, we removed the second bottleneck: creating a modern platform for rapid iteration on model architectures and designs in a cost-efficient manner and at scale. At Tahoe, we embody a simple philosophy: build in the open, shoot for the moon, and we're looking for people who want to push the frontier of what's possible.

As a Senior Machine Learning Scientist, you will play a leading role in designing the next generation of foundation models of gene regulatory networks powered by Tahoe's large scale single-cell datasets such as Tahoe-100M and beyond. This role is well-suited for someone with a strong background in machine learning and statistics, and an interest in applying cutting-edge breakthroughs in ML to meaningful problems in drug discovery. We are looking for non-incremental thinkers with the skills to help build models that can make a real impact on drug discovery.
Qualifications - Essential
  • PhD or equivalent practical experience in a technical field.
  • A proven track record of developing and applying deep learning methods, including experience with modern architectures such as transformers, state-space models, graph neural networks or diffusion-based generative models.
  • Proficiency with modern ML frameworks (e.g., PyTorch, JAX, or TensorFlow) and core scientific computing libraries (e.g., NumPy, SciPy, Pandas).
  • A genuine enthusiasm for applying cutting-edge ML research to real-world biological problems and a bias towards action.
Qualifications - Nice to have
  • Prior experience with ML applied to problems in biology or chemistry.
  • Familiarity with multimodal modeling, contrastive learning or self-supervised learning.
  • Experience with large scale distributed ML techniques (e.g., FSDP, TP, dMoE, flash attention)
Key Responsibilities
  • Develop and apply machine learning techniques towards building multimodal foundation models that bridge the chemical and biological domains, i.e.: integrate models of chemical structure, target protein sequence and whole transcriptome scRNAseq.
  • Stay at the forefront of ML and computational biology research and rapidly adopt state-of-the-art techniques to our problems and datasets.
  • Collaborate with our team of biologists and engineers in cross-functional pods to test novel ML-driven hypotheses.
Benefits
  • Unlimited Paid Time Off (PTO).
  • Monthly Lunch budget.
  • One-time Office set up budget.
  • US Employees: HMO Kaiser Platinum and PPO Anthem Gold medical as well as vision and dental plans for both the employee and dependents.
$200,000 - $275,000 a year
This position requires on-site presence at our South San Francisco office a minimum of three days per week.

We welcome applicants who require visa sponsorship and provide work authorization support for qualified candidates.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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