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Remote Computational Modeling Jobs in California

Tempus

Scientist II, Translational Research

Redwood City, CA · On-site +1

$100K - $150K/yr

Partner with our pharma clients to design, develop and execute computational research projects ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

BNY

Vice President, Model Risk Management

Los Angeles, CA · On-site +1

$129K - $179K/yr

Remote work may be permitted within a commutable distance from the worksite. REQUIREMENTS: Master ... Performing financial modeling techniques, including value-at-risk type of models, interest rate ...

BLT Recruiting

AI Generalist Artist

Culver City, CA · On-site +1

Culver City, California (In-Office) / Remote considered , UK London office / remote considered Job ... You will work with both open-source models and in-house fine-tuned models, collaborating closely ...

Oklo

Reactor Core Thermal Fluids Engineer

Santa Clara, CA · On-site +1

$80K - $175K/yr

... models, and high-fidelity computational fluid dynamics models. Specific responsibilities may ... Oklo requires remote employees to travel to headquarters (Santa Clara, CA) twice a quarter annually ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

... Computational Science department. The ideal candidate has a strong knowledge in designing and ... The MLS team at Freenome develops DL models using massive-scale genomic data that presents ...

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Remote Computational Modeling information

What are the key skills and qualifications needed to thrive as a Remote Computational Modeling Specialist, and why are they important?

To excel in Remote Computational Modeling, you need a strong background in mathematics, physics, and computer science, often supported by a relevant degree such as in engineering or applied sciences. Proficiency with modeling software (like MATLAB, ANSYS, or COMSOL), programming languages (such as Python or C++), and cloud computing platforms is typically required. Outstanding analytical thinking, problem-solving abilities, and effective remote communication skills set top candidates apart. These competencies ensure accurate model development, efficient collaboration, and the ability to deliver reliable results in a remote work environment.

What is remote computational modeling?

Remote computational modeling is the process of creating and simulating mathematical models of real-world systems using computer software, performed from a location outside a traditional office or laboratory setting. Professionals in this field use specialized software to analyze complex data, make predictions, and solve scientific or engineering problems, all while collaborating virtually with teams or clients. This remote setup allows for greater flexibility and access to global projects, making it an attractive option for computational scientists, engineers, and analysts.

What is the difference between Remote Computational Modeling vs Remote Data Analysis?

AspectRemote Computational ModelingRemote Data Analysis
Required CredentialsDegree in computational science, engineering, or related fields; programming skillsDegree in statistics, data science, or related fields; analytical skills
Work EnvironmentCollaborative teams, research labs, or industry projects involving simulationsData-focused environments, business analytics, or research settings
Industry UsageEngineering, scientific research, product developmentBusiness, marketing, healthcare, finance
Search & Comparison IntentUnderstanding roles involving simulation and modeling techniquesAnalyzing data sets to derive insights

Remote Computational Modeling involves creating simulations and models to predict or analyze complex systems, often requiring programming and scientific expertise. Remote Data Analysis focuses on examining data sets to extract meaningful insights, typically using statistical tools. While both roles require analytical skills and often overlap in technical knowledge, they serve different purposes within industries like engineering, research, and business.

What are some common challenges faced by professionals in remote computational modeling roles, and how can they be addressed?

Professionals in remote computational modeling often face challenges such as maintaining effective communication with team members, managing complex simulations across distributed systems, and staying aligned with project goals without in-person oversight. To overcome these obstacles, it's important to leverage collaboration tools, establish regular check-ins with your team, and document your work thoroughly. Additionally, setting up a reliable remote work environment with necessary software and high-speed internet can help ensure productivity and minimize technical disruptions.
What are the most commonly searched types of Computational Modeling jobs in California? The most popular types of Computational Modeling jobs in California are:
What are popular job titles related to Remote Computational Modeling jobs in California? For Remote Computational Modeling jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Computational Modeling jobs in California look for? The top searched job categories for Remote Computational Modeling jobs in California are:
What cities in California are hiring for Remote Computational Modeling jobs? Cities in California with the most Remote Computational Modeling job openings:
Remote Computational Modeling jobs near you
Scientist II, Translational Research

Scientist II, Translational Research

Tempus

Redwood City, CA • On-site, Remote

$100K - $150K/yr

Full-time

Posted 19 days ago

Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

Responsibilities: Partner with our pharma clients to design, develop and execute computational research projects leveragingthe Tempus platform to advance precision medicine research programs. Analyze and integrate large diverse clinical and molecular datasets to extract insights and drive new researchopportunities. Stay ahead of research and industry trends in oncology drug development, and identify specific areas wherethe Tempus platform can establish new markets. Become an expert in our biopharma partners' strategy, pipeline and portfolio to proactively determine allareas that the Tempus platform could add value to the drug development process of our partners. Develop and drive global account strategy in coordination with the account team. Document, summarize and communicate highly technical results and methods clearly to non-technicalaudiences. Work directly with clients to co-architect solutions and projects that leverage the Tempus platform to solvecustomers' challenges and maintain R&D relationships as the trusted technical advisor. Author whitepapers and illustrate the value of multimodal analysis and AI in drug discovery in coordinationwith our Research, Engineering & Data Science teams. Work with Product and Engineering teams to streamline workflow of computational analyze Contribute to the development of the portfolio by providing feedback to leadership regarding clientresponses and suggestions; maintain a solution-oriented mindset. Track progress against defined strategic objectives and goals; review progress/setbacks frequently wibroader Account Team and Tempus leadership. Travel approximately 25% of working time, domestically and internationally.Preferred Qualification PhD degree in a quantitative discipline (e.g. Biostatistics/Statistical Genetics, Cancer Genetics,Bioinformatics, Computational Biology, Computational Immunology or similar). Alternatively, a PhD inMolecular Biology or Immunology combined with a very strong record of computational biology. Minimum 4+ years in drug development leveraging genomic and multimodal data for drug discovery anddevelopment . Strong understanding of molecular data and artificial intelligence in drug discovery with experienceintegrative modeling of multi-modal clinical and omics data. Proficient in R, Python, and SQ Previous experience working with large transcriptome data sets. Strong understanding of Cancer, Immunology, Clinical Trials and Real World Evidence Platforms . Prior consulting and/or client facing experience is highly desirable Thrive in a fast-paced environment and willing to shift priorities seamlessly.
Preferred Experience: Proven track record of developing solutions utilizing molecular and multimodal data. Demonstrated ability to influence without authority (both with internal and external stakeholders Proactive mindset that bridges ideas to implementable solutions, and can help move both internal andexternal stakeholders to quickly solve problems Experience with communicating insights and presenting concepts to diverse audiences. Strong peer-reviewed publication record. Experience with: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, tidyverse, ggplot, Git,matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask, Docker, AWS. Team player mindset and ability to work in an interdisciplinary team. Goal orientation, self motivation, and drive to make a positive impact in healthcare.CHI: $90,000-$135,000NYC/SF: $100,000-$150,000

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

Additionally,for remote roles open to individuals in unincorporated Los Angeles - including remote roles-Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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