Science & Research Green Card Sponsorship Jobs in California
Science and research Green Card sponsorship jobs in California span biotechnology hubs in the San Francisco Bay Area and San Diego, national laboratories like Lawrence Berkeley and Sandia, and major research universities including UCLA and UC San Diego. Employers such as Genentech, Illumina, and the Salk Institute regularly sponsor international scientists through EB-1, EB-2, and EB-2 NIW pathways.
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Get Access To All JobsTHE POSITION
We advance science so that we all have more time with the people we love.
The Expert Data Scientist is an expert in data visualization, data analysis, data insights, and applied AI/ML-enabled analytics, enabling stakeholders to efficiently and effectively review and analyze data from internal studies and external published data. The Expert Data Scientist works directly with ECD clinical disease area leads, Safety Scientists, and other line function colleagues to ensure that indication- or disease-specific scientific questions are explored thoroughly using creative data analysis, analytical applications, data visualizations, automation, and fit-for-purpose innovation.
Your primary responsibility will be to provide strategic and technical direction for the development, implementation, and continuous improvement of Early Clinical Development data review capabilities at the indication, program, and study level. You will develop scalable solutions and processes that create organizational impact, while continuously identifying opportunities to simplify, automate, innovate, and collaborate with experts within and outside of ECD.
The Expert Data Scientist also manages implementation and adoption of medical data review and visualization applications by providing training, consultation, and dedicated support. The role contributes to ECD portfolio-level review and visualization capabilities, while helping evolve current workflows through automation, data-driven processes, and practical application of AI and advanced technologies where appropriate.
The Opportunity:
- Strategically uses internal and external data to develop advanced data visualizations and analytical applications that are fit-for-purpose for gRED Early Clinical Development, while identifying opportunities to apply AI, automation, and scalable digital solutions to improve medical data review efficiency.
- Acts as a main point of contact for Therapeutic Area leads or disease area leads with questions on specific disease-area data exploratory analysis and medical data review needs, including opportunities to modernize review workflows through automation, chatbot-enabled access, or AI-assisted data exploration where appropriate.
- Provides guidance, training, consultation, and dedicated support for medical data review and analytical visualization tools, including adoption of modern technologies, automation-enabled workflows, and AI/ML-supported analytical capabilities.
- Collaborates within ECD and other line functions, including AI engineers, software engineers, and platform teams, to align and simplify processes, prevent redundancy in analytics, and accelerate data-driven decision-making through automation, reusable solutions, and scalable data-driven processes.
- Co-leads AI/automation-focused projects with technical partners by translating business needs into technical requirements, supporting solution design, and ensuring outputs are practical, scalable, and aligned with clinical stakeholder needs.
- Creates derived datasets from raw clinical trial data to support medical data review, statistical analysis, visualization, and reporting, and contributes to automation of data mapping, transformation, standardization, and quality review processes where feasible.
- Writes detailed specifications for datasets, tables, analyses, visualizations, analytical applications, and automation-enabled workflows based on clinical, business, and regulatory requirements, and collaborates with AI/software engineering partners to ensure effective implementation.
- Develops and maintains standard programming packages, reusable functions, automation components, AI/ML-enabled utilities, and tools to improve efficiency and ensure compliance with industry standards.
- Uses strong technical expertise and skills to find opportunities for innovation, efficiency, simplification, automation, and practical application of AI or advanced technologies with the mindset of working smarter.
- Collaborates across teams to bridge business needs with technical implementation, drive adoption of modern technologies and scalable solutions, and help shape future ways of working for medical data review and analytical applications.
Who You Are:
- 5+ years of experience with Bachelor’s; 3+ years with Master’s; 1+ years with PhD, in statistics, computer science, data science, biomedical informatics, engineering, mathematics, or a relevant technical discipline.
- Significant experience in clinical trial data analysis, medical data review, data visualization, or analytical application development in the pharmaceutical or biotech industry.
- Strong understanding of the data flow in the end-to-end drug development lifecycle, with the ability to translate clinical data review needs into technical requirements for analytics, automation, and AI-enabled solutions.
- Experience creating SDTM, ADaM, derived datasets, and/or developing TFLs using SAS, R, Python, or related tools, with interest or experience in automating data mapping, transformation, quality review, and analytical workflows.
- Experience with clinical data visualization tools such as Spotfire, Tableau, R/Shiny, or similar analytical applications, including implementation, user support, and continuous improvement of tools used by clinical stakeholders.
- Experience applying, supporting, or co-leading automation, advanced analytics, AI/ML, NLP, LLMs, chatbots, or agentic workflow solutions to practical business problems is preferred.
- Ability to work closely with AI engineers, platform teams, and clinical stakeholders to co-lead AI/automation projects from business problem definition through technical implementation, user adoption, and continuous improvement.
- Experience translating business needs into technical requirements, scalable analytical solutions, automation workflows, and implementation plans in partnership with technical teams.
- Demonstrated ability to provide training, consultation, implementation support, and dedicated user support for analytical tools, medical data review applications, or AI/automation-enabled workflows.
- Experience driving adoption of modern technologies, automation, analytics, or scalable digital solutions across teams, including helping stakeholders understand and use new capabilities effectively.
- Track record of establishing successful partnerships across organizations.
- Excellent written and verbal communication skills, strong project management skills, and the ability to navigate in a complex, international, and matrixed environment.
Relocation benefits are not available for this posting.
Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week.
The expected salary range for this position based on the primary location of South San Francisco, California is $185,200 - $343,900. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
JOB FACTS
Job Sub Category Computational Biology
Schedule Full time
Job Type Regular
Posted Date May 15th 2026
Job ID 202605-112435
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
THE POSITION
We advance science so that we all have more time with the people we love.
The Expert Data Scientist is an expert in data visualization, data analysis, data insights, and applied AI/ML-enabled analytics, enabling stakeholders to efficiently and effectively review and analyze data from internal studies and external published data. The Expert Data Scientist works directly with ECD clinical disease area leads, Safety Scientists, and other line function colleagues to ensure that indication- or disease-specific scientific questions are explored thoroughly using creative data analysis, analytical applications, data visualizations, automation, and fit-for-purpose innovation.
Your primary responsibility will be to provide strategic and technical direction for the development, implementation, and continuous improvement of Early Clinical Development data review capabilities at the indication, program, and study level. You will develop scalable solutions and processes that create organizational impact, while continuously identifying opportunities to simplify, automate, innovate, and collaborate with experts within and outside of ECD.
The Expert Data Scientist also manages implementation and adoption of medical data review and visualization applications by providing training, consultation, and dedicated support. The role contributes to ECD portfolio-level review and visualization capabilities, while helping evolve current workflows through automation, data-driven processes, and practical application of AI and advanced technologies where appropriate.
The Opportunity:
- Strategically uses internal and external data to develop advanced data visualizations and analytical applications that are fit-for-purpose for gRED Early Clinical Development, while identifying opportunities to apply AI, automation, and scalable digital solutions to improve medical data review efficiency.
- Acts as a main point of contact for Therapeutic Area leads or disease area leads with questions on specific disease-area data exploratory analysis and medical data review needs, including opportunities to modernize review workflows through automation, chatbot-enabled access, or AI-assisted data exploration where appropriate.
- Provides guidance, training, consultation, and dedicated support for medical data review and analytical visualization tools, including adoption of modern technologies, automation-enabled workflows, and AI/ML-supported analytical capabilities.
- Collaborates within ECD and other line functions, including AI engineers, software engineers, and platform teams, to align and simplify processes, prevent redundancy in analytics, and accelerate data-driven decision-making through automation, reusable solutions, and scalable data-driven processes.
- Co-leads AI/automation-focused projects with technical partners by translating business needs into technical requirements, supporting solution design, and ensuring outputs are practical, scalable, and aligned with clinical stakeholder needs.
- Creates derived datasets from raw clinical trial data to support medical data review, statistical analysis, visualization, and reporting, and contributes to automation of data mapping, transformation, standardization, and quality review processes where feasible.
- Writes detailed specifications for datasets, tables, analyses, visualizations, analytical applications, and automation-enabled workflows based on clinical, business, and regulatory requirements, and collaborates with AI/software engineering partners to ensure effective implementation.
- Develops and maintains standard programming packages, reusable functions, automation components, AI/ML-enabled utilities, and tools to improve efficiency and ensure compliance with industry standards.
- Uses strong technical expertise and skills to find opportunities for innovation, efficiency, simplification, automation, and practical application of AI or advanced technologies with the mindset of working smarter.
- Collaborates across teams to bridge business needs with technical implementation, drive adoption of modern technologies and scalable solutions, and help shape future ways of working for medical data review and analytical applications.
Who You Are:
- 5+ years of experience with Bachelor’s; 3+ years with Master’s; 1+ years with PhD, in statistics, computer science, data science, biomedical informatics, engineering, mathematics, or a relevant technical discipline.
- Significant experience in clinical trial data analysis, medical data review, data visualization, or analytical application development in the pharmaceutical or biotech industry.
- Strong understanding of the data flow in the end-to-end drug development lifecycle, with the ability to translate clinical data review needs into technical requirements for analytics, automation, and AI-enabled solutions.
- Experience creating SDTM, ADaM, derived datasets, and/or developing TFLs using SAS, R, Python, or related tools, with interest or experience in automating data mapping, transformation, quality review, and analytical workflows.
- Experience with clinical data visualization tools such as Spotfire, Tableau, R/Shiny, or similar analytical applications, including implementation, user support, and continuous improvement of tools used by clinical stakeholders.
- Experience applying, supporting, or co-leading automation, advanced analytics, AI/ML, NLP, LLMs, chatbots, or agentic workflow solutions to practical business problems is preferred.
- Ability to work closely with AI engineers, platform teams, and clinical stakeholders to co-lead AI/automation projects from business problem definition through technical implementation, user adoption, and continuous improvement.
- Experience translating business needs into technical requirements, scalable analytical solutions, automation workflows, and implementation plans in partnership with technical teams.
- Demonstrated ability to provide training, consultation, implementation support, and dedicated user support for analytical tools, medical data review applications, or AI/automation-enabled workflows.
- Experience driving adoption of modern technologies, automation, analytics, or scalable digital solutions across teams, including helping stakeholders understand and use new capabilities effectively.
- Track record of establishing successful partnerships across organizations.
- Excellent written and verbal communication skills, strong project management skills, and the ability to navigate in a complex, international, and matrixed environment.
Relocation benefits are not available for this posting.
Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week.
The expected salary range for this position based on the primary location of South San Francisco, California is $185,200 - $343,900. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
JOB FACTS
Job Sub Category Computational Biology
Schedule Full time
Job Type Regular
Posted Date May 15th 2026
Job ID 202605-112435
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
Green Card Science & Research Job Roles in California
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Search Science & Research Jobs in CaliforniaScience & Research Green Card Sponsorship Jobs in California: Frequently Asked Questions
Which science and research companies sponsor Green Card visas in California?
California's largest science and research Green Card sponsors include biotechnology and pharmaceutical companies such as Genentech, Illumina, and Gilead Sciences, as well as research institutions like the Salk Institute, Lawrence Berkeley National Laboratory, and the Broad Institute's California-based programs. Major technology companies with applied research divisions, including Google DeepMind and Meta AI Research, also sponsor researchers through employment-based Green Card categories.
Which cities in California have the most science and research Green Card sponsorship jobs?
The San Francisco Bay Area, particularly South San Francisco, Emeryville, and the wider Silicon Valley corridor, concentrates the largest number of science and research Green Card roles in California. San Diego is the second major hub, driven by its biotechnology and genomics cluster around Torrey Pines. Los Angeles also has a growing presence through universities, aerospace research, and biomedical institutions.
What types of science and research roles typically qualify for Green Card sponsorship?
Roles that commonly qualify include research scientists, principal investigators, bioinformaticians, computational biologists, materials scientists, and laboratory directors. Positions requiring a doctoral degree in a specific scientific discipline, such as molecular biology, chemistry, or physics, are well suited to EB-2 sponsorship. Researchers with peer-reviewed publications, grants, or demonstrated impact in their field may also qualify for the EB-1A extraordinary ability or EB-2 National Interest Waiver pathways.
How do I find science and research Green Card sponsorship jobs in California?
Migrate Mate lists science and research jobs in California where employers have a documented history of Green Card sponsorship, letting you filter specifically by visa type and state. Because many research institutions do not advertise their sponsorship capacity prominently, using a platform like Migrate Mate that surfaces verified sponsorship data saves significant time compared to manually reviewing each employer. Focusing your search on Bay Area and San Diego-based roles will return the highest concentration of relevant openings.
Are there state-specific considerations for Green Card sponsorship in California science and research roles?
California employers sponsoring Green Cards through the EB-2 or EB-3 PERM process must comply with standard Department of Labor prevailing wage requirements, which are notably high in Bay Area and San Diego labor markets. California also has strict worker protection laws that affect how employers conduct PERM recruitment steps. Researchers pursuing the EB-2 National Interest Waiver can self-petition without employer sponsorship, which is a meaningful option given California's density of independent and academic research environments.
What is the prevailing wage for Green Card science & research jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.