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Internship Remote Research Engineer Jobs in San Ramon, CA

Work with Product and Engineering teams to streamline workflow of computational analyze Contribute ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

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Internship Remote Research Engineer information

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$12

$21

$33

How much do internship remote research engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for internship remote research engineer in San Ramon, CA is $21.58, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $23.37 per hour, depending on experience, location, and employer.

What is an internship remote research engineer?

Internship Remote Research Engineers are students or recent graduates who work remotely to assist in research and development projects, typically within engineering, technology, or scientific fields. Their responsibilities often include data analysis, literature reviews, software development, and supporting senior researchers in various experiments or projects. These internships provide hands-on experience, allowing interns to apply theoretical knowledge, develop technical skills, and collaborate with professional teams, all while working from a location outside the main office or lab.

How does an internship remote research engineer typically collaborate with team members and supervisors?

As a remote research engineer intern, you'll primarily use digital collaboration tools like Slack, Zoom, and project management platforms to communicate with your team. Regular check-ins, virtual meetings, and shared documentation are crucial for staying aligned on project goals and progress. You'll often work closely with senior engineers, researchers, and sometimes cross-functional teams, receiving guidance and feedback remotely. This setup encourages proactive communication and self-management, helping you develop strong remote work skills that are highly valued in the tech industry.

What are the key skills and qualifications needed to thrive as an internship remote research engineer, and why are they important?

To thrive as an Internship Remote Research Engineer, you need a solid background in computer science or engineering, strong analytical abilities, and relevant coursework or experience in research methodologies. Familiarity with programming languages (such as Python or MATLAB), version control systems (like Git), and data analysis tools is typically required. Strong self-motivation, effective communication, and time management skills help interns excel in remote and collaborative environments. These skills enable effective contribution to research projects, independent problem-solving, and seamless integration with distributed teams.

What is the difference between Internship Remote Research Engineer vs Research Scientist?

AspectInternship Remote Research EngineerResearch Scientist
CredentialsTypically pursuing or holding a relevant degree (e.g., Computer Science, Engineering)Advanced degree (Master's or PhD) often required
Work EnvironmentRemote, internship setting, often part-time or temporaryFull-time, research-focused, may be remote or on-site
Industry UsageCommon in tech, academia, and R&D sectors for entry-level or training rolesResearch and development departments, academia, industry labs

The main difference is that an Internship Remote Research Engineer is an entry-level, temporary position aimed at gaining experience, often held by students or early-career individuals. In contrast, a Research Scientist is a more advanced, permanent role focused on conducting independent research, often requiring higher qualifications and experience.

What cities near San Ramon, CA are hiring for Internship Remote Research Engineer jobs?

Cities near San Ramon, CA with the most Internship Remote Research Engineer job openings:

Scientist II, Translational Research

Tempus

Redwood City, CA โ€ข On-site, Remote

$100K - $150K/yr

Full-time

Re-posted 23 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.