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Remote Computational Structural Biology Jobs in California

Tempus

Bioinformatics Scientist

Redwood City, CA · On-site +1

Computational skills using Python and/or R, including experience with data science and biological ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Insmed Incorporated

Degree in bioinformatics, computational biology, genomics, molecular biology or a similar area ... remote role. It can be performed effectively from anywhere while staying connected to your Insmed ...

Mercor

ADC Expert - Preclinical R&D

San Francisco, CA · On-site +1

$60 - $100/hr

Contract Compensation: $60-$100/hour Location: Remote Commitment: 10 hours/week Role ... discovery biology, medicinal chemistry, protein/antibody engineering, computational, in vivo ...

New

Curtisswright

Principal Engineer

Brea, CA · On-site +1

$150K - $180K/yr

... and structural components utilized in commercial nuclear power plants. Location: Remote/Hybrid ... Experience in Computational Fluid Dynamics is a plus. * Experience in the nuclear industry is a ...

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All JobsComputational Structural Biology JobsRemote Computational Structural Biology JobsRemote Computational Structural Biology Jobs in California

Remote Computational Structural Biology information

What is remote computational structural biology?

Remote computational structural biology is a field where scientists use computer-based methods to study the structures and functions of biological macromolecules, such as proteins and nucleic acids, from a remote location. This discipline leverages advanced software, molecular modeling, and simulation techniques to analyze biological structures, often collaborating with experimental biologists online. Working remotely allows professionals to access powerful computing resources and databases, contribute to research projects, and interact with international teams without being physically present in a laboratory. It is commonly used in drug discovery, protein engineering, and understanding disease mechanisms.

How does remote work impact collaboration and project management in computational structural biology teams?

Remote computational structural biology teams often rely on digital communication tools and shared data platforms to collaborate on complex projects. While physical distance can pose challenges for real-time discussions and problem-solving, most teams use regular video meetings, collaborative software, and cloud-based resources to coordinate efforts and share findings. Clear documentation and version control are crucial for managing research data and ensuring reproducibility. Team members typically specialize in different aspects, such as modeling, simulations, or data analysis, and work closely together despite being geographically dispersed. This structure allows for flexibility while maintaining high scientific standards and project momentum.

What are the key skills and qualifications needed to thrive as a remote computational structural biologist, and why are they important?

To thrive as a Remote Computational Structural Biologist, you need a strong background in structural biology, molecular modeling, and bioinformatics, typically supported by a Ph.D. or advanced degree in a related field. Proficiency with computational tools such as PyMOL, Rosetta, Chimera, and molecular dynamics software, as well as experience with programming languages like Python or R, is essential. Excellent problem-solving skills, attention to detail, and effective virtual communication are crucial soft skills for collaborating with interdisciplinary teams remotely. These competencies ensure accurate data analysis, innovative research contributions, and successful teamwork in a remote scientific environment.

What is the difference between Remote Computational Structural Biology vs Remote Bioinformatics Scientist?

AspectRemote Computational Structural BiologyRemote Bioinformatics Scientist
Required CredentialsAdvanced degrees in bioinformatics, computational biology, or related fields; experience with structural modeling toolsDegrees in bioinformatics, biology, or computer science; familiarity with genomic data analysis
Work EnvironmentResearch labs, biotech companies, academic institutions; primarily computer-basedResearch institutions, healthcare, biotech; data analysis and software development
Industry UsagePharmaceuticals, academia, biotech firms focusing on protein structuresHealthcare, genomics, biotech firms analyzing biological data

Remote Computational Structural Biology focuses on modeling and analyzing 3D protein structures, requiring specialized knowledge in structural bioinformatics. In contrast, Remote Bioinformatics Scientists work with genomic and biological data, often involving sequence analysis and data interpretation. Both roles are essential in biotech and research industries but differ in their focus and technical skills.

What are the most commonly searched types of Computational Structural Biology jobs in California?

The most popular types of Computational Structural Biology jobs in California are:

What cities in California are hiring for Remote Computational Structural Biology jobs?

Cities in California with the most Remote Computational Structural Biology job openings:

Remote Computational Structural Biology jobs near you
Infographic showing various Remote Computational Structural Biology job openings in California as of July 2026, with employment types broken down into 76% Full Time, 20% Part Time, 2% Temporary, and 2% Contract. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution.

Senior Scientist I, Translational Research

Tempus

Redwood City, CA • On-site, Remote

$115K - $175K/yr

Full-time

Re-posted 25 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: $100,000-$160,000NYC/SF: $115,000-$175,000

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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