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Virtual Scientific Computing Jobs in California (NOW HIRING)

... or virtual screening • Experience working with biological data such as molecular structures, compounds, sequences, and databases • Programming experience in Python and scientific computing ...

Senior Software Engineer - Fraud

San Mateo, CA · On-site

$139K - $183K/yr

Roblox's virtual marketplace handles over 4 million transactions a day, and enables our top ... Analytical work may include but is not limited to Data Analysis, Scientific Computing, Statistical ...

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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?

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:

Computational Scientist

Tamarind Bio

San Francisco, CA • On-site

Full-time

Re-posted 17 days ago


Job description

Job Summary:
Tamarind Bio is focused on enabling scientists to access AI-powered drug discovery tools. They are seeking a Computational Scientist to curate and scale their library of AI tools, working closely with both the engineering team and customers to enhance drug discovery workflows.
Responsibilities:
• Work with founders and engineers to integrate and deploy biological ML models on the Tamarind platform.
• Build and refine workflows connecting tools like structure prediction, docking, and scoring models.
• Partner with customers to troubleshoot pipelines and help them run large-scale discovery workflows.
• Evaluate new research tools and integrate promising models into the platform Contribute to improving reliability, performance, and scalability of scientific pipelines
Qualifications:
Required:
• Strong background in computational biology, computational chemistry, bioinformatics, or related field
• Familiarity with ML and physics-based tools in structural biology, molecular dynamics, protein–ligand docking, or virtual screening
• Experience working with biological data such as molecular structures, compounds, sequences, and databases
• Programming experience in Python and scientific computing workflows
• Comfort working with cloud infrastructure and ML tooling (AWS, Docker, CUDA, Conda, PyTorch, TensorFlow)
• Located in the SF Bay Area or able to relocate
Company:
Tamarind Bio is a software company that help the scientists and researchers using computational tools in biology. Founded in 2024, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.