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Remote Science Jobs in Milpitas, CA (NOW HIRING)

GenBio AI

Research Scientist, Applied Science

Palo Alto, CA · On-site +1

$200K - $270K/yr

PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Computational Biology, or a related technical field. * Proven track record in research and innovation ...

YO AI Labs

GIS/geospatial Expert - Remote

Palo Alto, CA · Remote

$80 - $100/hr

Remote Job Overview We are seeking experienced GIS / Geospatial Experts with hands-on experience in ... Apply tools such as Codex, Claude Code, Claude Cowork, and Claude Science to real-world technical ...

GenBio AI

Research Scientist, Applied Science

Palo Alto, CA · On-site +1

$200K - $270K/yr

PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Computational Biology, or a related technical field. * Proven track record in research and innovation ...

YO AI Labs

Physics Expert - Remote

San Jose, CA · Remote

$80 - $160/hr

Remote Job Overview We are seeking established Physics Professors and Principal Investigators to provide high-level scientific expertise for a project focused on advancing next-generation AI systems.

YO AI Labs

Physics Expert - Remote

Palo Alto, CA · Remote

$80 - $160/hr

Remote Job Overview We are seeking established Physics Professors and Principal Investigators to provide high-level scientific expertise for a project focused on advancing next-generation AI systems.

Match Point Solutions

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

Remote Rate: $75-$80/hr on W2 Key points: Developing computer vision models that improve ... As a Delivery team, this Department uses industry leading data science and change management ...

Landpoint

Remote Data Analyst

Fremont, CA · Remote

They work in many industries, including business, finance, science, medicine, and government To excel as a remote data analyst, professionals must possess a combination of technical skills, soft ...

Dlapiper

Data Scientist

Palo Alto, CA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

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Showing results 21-40

All JobsScience JobsRemote Science JobsRemote Science Jobs in Milpitas, CA

Remote Science information

See Milpitas, CA salary details

$28.6K

$56.4K

$92.1K

How much do remote science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote science in Milpitas, CA is $56,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,900.00 and $60,600.00 per year, depending on experience, location, and employer.

What is remote science?

Remote science jobs are positions in scientific fields that can be performed outside of traditional laboratory or office environments, typically from home or any location with internet access. These jobs may include roles in research, data analysis, scientific writing, consulting, or education. Advances in technology and communication tools have made it possible for scientists to collaborate, conduct experiments, and analyze data remotely. Remote science jobs offer flexibility and can help employers and employees reach a broader talent pool. Common areas include biology, chemistry, environmental science, and healthcare research.

What skills and qualifications are needed to thrive as a remote science professional?

To thrive as a Remote Science professional, you need a strong background in your scientific discipline, analytical skills, and typically a relevant degree or higher qualification. Familiarity with data analysis tools, virtual collaboration platforms, and scientific software such as Python, R, or MATLAB is important. Excellent written communication, time management, and self-motivation are standout soft skills in this remote environment. These abilities ensure effective research, collaboration, and productivity while working independently from various locations.

What are common challenges faced by professionals working in remote science roles, and how can they be addressed?

Professionals in remote science roles often face challenges such as effective communication across time zones, limited access to lab equipment, and maintaining collaboration with team members. To address these issues, it is helpful to establish regular virtual check-ins, utilize collaborative digital tools, and set clear expectations for project milestones. Many teams also adopt cloud-based data sharing and remote access to specialized software, ensuring that scientific work continues smoothly despite physical distance.

What is the difference between Remote Science vs Remote Data Analyst?

AspectRemote ScienceRemote Data Analyst
Required CredentialsScience degrees, research experience, technical skillsStatistics, data analysis certifications, technical skills
Work EnvironmentResearch labs, academic institutions, remote research projectsBusiness, finance, tech companies, remote data analysis roles
Employer & Industry UsageUniversities, research institutes, biotech firmsCorporations, consulting firms, tech startups
Search & Comparison IntentUnderstanding research roles, scientific projectsData analysis tasks, business insights

Remote Science and Remote Data Analyst roles share a focus on technical skills and remote work environments. However, Remote Science typically involves research, scientific experiments, and academic or biotech settings, while Remote Data Analysts focus on interpreting data for business insights in corporate environments. Both roles require analytical skills but differ in industry application and specific credentials.

What remote science jobs are there?

Remote science jobs include roles such as research scientists, data analysts, laboratory technicians, and scientific writers. These positions often require specialized knowledge, relevant degrees, and skills in data analysis, laboratory techniques, or scientific software, and may involve collaboration through digital communication tools.

What job categories do people searching Remote Science jobs in Milpitas, CA look for?

The top searched job categories for Remote Science jobs in Milpitas, CA are:

What cities near Milpitas, CA are hiring for Remote Science jobs?

Cities near Milpitas, CA with the most Remote Science job openings:

Remote Science jobs near you
Infographic showing various Remote Science job openings in Milpitas, CA as of August 2026, with employment types broken down into 11% Internship, 72% Full Time, and 17% Part Time. Highlights an 100% Remote job distribution, with an average salary of $56,393 per year, or $27.1 per hour.

Research Scientist, Applied Science

GenBio AI

Palo Alto, CA • On-site, Remote

$200K - $270K/yr

Full-time

Re-posted 13 days ago

Job description

GenBio AI develops multiscale foundation models to decode and simulate human biology. Our team is accelerating towards an ambitious future where scientists can unlock humanity's biggest challenges in drug discovery, healthcare, and fundamental research with AIDO (AI-Driven Digital Organism): a unified framework for predicting, simulating, and programming biology across all scales. The foundation of this vision begins today as we engineer the virtual cell to model and simulate the fundamental unit of life.

This vision has brought together a talent-dense group of product-minded researchers and engineers dedicated to bringing it to reality. Our team prides itself on our strong engineering culture and highly interdisciplinary and collaborative approach. We are based in Palo Alto, with satellite offices in Paris and Abu Dhabi.

This role combines research in AI for structural biology with the application of our models to real-world scientific challenges. The successful candidate will contribute to model development, lead computational discovery efforts in collaboration with external partners, and help translate research advances into impactful outcomes. Depending on business needs, time may be split between partner-facing scientific projects and internal research initiatives.

Job Requirements

  • PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Computational Biology,  or a related technical field.

  • Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences.

  • Experience in translating machine learning research into real-world scientific impact through collaborations with academic, biotechnology, or pharmaceutical partners.

  • Experience designing, executing, or supporting computational discovery campaigns in protein engineering, antibody discovery, binder design, or related therapeutic discovery efforts.

  • Experience working closely with experimental scientists and using experimental results to guide decisions.

  • Prior experience working on AI for structural biology or drug discovery in either an academic or industry setting.

  • Motivated and self-driven with the ability to operate with partial and incomplete descriptions of high-level objectives (as is typical in a start-up environment).

  • Evidence of familiarity and utilization of software engineering best practices (version controlling, documentation, etc), and open-source contributions, especially if used by others.

Preferred Qualifications

  • 3+ years of post-PhD experience in an industry or postdoc role

  • Prior experience working at either a start-up or top research industry labs (e.g., OpenAI, FAIR, Deepmind, Google Research).

  • Experience in biological structure prediction algorithms such as Alphafold2 & 3, RosettaFold. 

  • Experience in generative modeling for biological structures and sequences

  • Experience leading scientific collaborations or serving as a technical point of contact for external research partners.

  • Deep knowledge of diffusion models, flow matching, and protein sequence models

$200,000 - $270,000 a year
Join us as we embark on this journey to redefine the future of biology and medicine.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security's E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.
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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