Data Contributor Jobs at Genentech with Visa Sponsorship
Data Contributor jobs at Genentech sit at the intersection of clinical research and data integrity, supporting the pipelines that drive drug development and regulatory submissions. Genentech has a consistent track record of sponsoring international candidates across multiple visa categories for technical data roles.
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Get Access To All JobsINTRODUCTION
We're passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world's most complex health challenges and transforming society.
Genentech's Data, Digital, and Analytics (DDA) team is dedicated to solving complex healthcare challenges and improving patient outcomes. DDA empowers business partners across Commercial, Medical, and Government Affairs (CMG) to make impactful decisions by leveraging data, analytics, and AI/ML to enable fast, targeted actions in rapidly evolving business contexts.
DDA fosters a unified understanding of customers, actions, and outcomes by transforming the business insight supply chain from the traditional reactive service model to a modern proactive product model, which integrates analytics and insights seamlessly into CMG's evolving digital, data, and automation platforms, creating scalable solutions and eliminating silos. In DDA, you will work as a trusted, objective advisor and expert, recommending critical decisions and actions to be taken with credibility and a focus on driving measurable impact. You will be part of a diverse, inclusive team that reflects the world we serve, thriving in a welcoming culture built on collaboration and innovation.
THE OPPORTUNITY
The Principal Data Scientist in Data, Analytics, and AI serves as a visionary technical leader and strategic thought partner, driving the innovation, development, and industrialization of next-generation enterprise AI/ML applications. This pivotal role requires deep expertise in building enterprise recommendation engines alongside advanced predictive modeling and forecasting solutions tailored specifically for the Commercial, Marketing, and Medical Affairs domains. Operating with a high degree of independence, the Principal Data Scientist translates ambiguous business challenges into rigorous analytical roadmaps, elevates team thinking, and provides the strategic technical insights necessary to shape organizational priorities. This position requires a rare blend of deep technical mastery—spanning applied statistics, deep learning, and forecasting—and the executive presence required to influence cross-functional strategy while maintaining compliance with Genentech’s standards.
- Technical Leadership & Architecture: Lead and guide the data science lifecycle for high-priority AI/ML projects, serving as the subject matter expert for advanced analytical methodologies across DDA.
- Product & Capability Ownership: Drive the end-to-end development, scaling, and deployment of AI solutions to optimize marketing efficiency, medical affairs strategy, and customer experience.
- Strategic Partnership: Act as a critical technical advisor to leadership and cross-functional stakeholders; leverage deep technical expertise and proactive research to influence long-term commercial and clinical business strategies.
- Advanced Methodology Application: Apply ML, deep learning, and applied statistics to extract high-value insights from complex, disparate structured and unstructured data sources.
- Cross-Functional Synergy: Collaborate seamlessly with Data Science Product Owners, ML Engineers, and other teams to build production-grade, scalable applications. Openly share perspectives to elevate the team’s technical maturity and optimally weigh technical vs. business trade-offs.
- Influence & Storytelling: Translate highly complex algorithmic architectures and predictive insights into concise, compelling business narratives that inspire trust and drive immediate operational action among non-technical stakeholders.
WHO YOU ARE
- Bachelor’s Degree and 7+ years of hands-on experience in AI with a proven track record of technical leadership, innovation, and independent project execution.
- 3+ years of dedicated experience applying Recommender Systems (e.g., content-based/collaborative filtering) and predictive/forecasting models to enterprise-scale data to drive tangible business results.
- Deep proficiency in quantitative fields including Deep Learning (applied to recommendation engines or advanced forecasting), Causal Inference, and advanced statistical modeling.
- Strong experience working with large-scale, complex data environments utilizing big data platforms (Hadoop, Spark) and cloud-computing ecosystems (AWS).
- Advanced proficiency in Python and deep familiarity with open-source machine learning and agentic libraries/frameworks (e.g., LangChain, CrewAI, TensorFlow, PyTorch) to solve enterprise-level problems.
PREFERRED
- Master’s or PhD in Data Science, Computer Science, Applied Mathematics, Statistics or a related quantitative field.
- Deep knowledge of highly regulated environments (healthcare, pharma, biotech) with specific experience utilizing Commercial, Medical Affairs, claims, marketing, and longitudinal patient data.
- A proven ability to successfully pivot and apply transferable artificial intelligence and machine learning techniques across diverse business domains and ambiguous use cases.
- Experience using industry-standard tools like Tableau, Qlik, or Data Studio to translate complex data into accessible, democratized insights.
- Strong communication, leadership, and time management skills, backed by a track record of open-source contributions, peer-reviewed publications, or patents.
LOCATION
This position is based in South San Francisco, CA at our Genentech Campus and offers a hybrid schedule working 3 days per week on campus.
Relocation benefits are not available for this posting.
COMPENSATION
The expected salary range for this position based on the primary location of South San Francisco, CA is $207,480 and $385,320. 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: Jun 5th 2026
- Job ID: 202605-112573
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.
INTRODUCTION
We're passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world's most complex health challenges and transforming society.
Genentech's Data, Digital, and Analytics (DDA) team is dedicated to solving complex healthcare challenges and improving patient outcomes. DDA empowers business partners across Commercial, Medical, and Government Affairs (CMG) to make impactful decisions by leveraging data, analytics, and AI/ML to enable fast, targeted actions in rapidly evolving business contexts.
DDA fosters a unified understanding of customers, actions, and outcomes by transforming the business insight supply chain from the traditional reactive service model to a modern proactive product model, which integrates analytics and insights seamlessly into CMG's evolving digital, data, and automation platforms, creating scalable solutions and eliminating silos. In DDA, you will work as a trusted, objective advisor and expert, recommending critical decisions and actions to be taken with credibility and a focus on driving measurable impact. You will be part of a diverse, inclusive team that reflects the world we serve, thriving in a welcoming culture built on collaboration and innovation.
THE OPPORTUNITY
The Principal Data Scientist in Data, Analytics, and AI serves as a visionary technical leader and strategic thought partner, driving the innovation, development, and industrialization of next-generation enterprise AI/ML applications. This pivotal role requires deep expertise in building enterprise recommendation engines alongside advanced predictive modeling and forecasting solutions tailored specifically for the Commercial, Marketing, and Medical Affairs domains. Operating with a high degree of independence, the Principal Data Scientist translates ambiguous business challenges into rigorous analytical roadmaps, elevates team thinking, and provides the strategic technical insights necessary to shape organizational priorities. This position requires a rare blend of deep technical mastery—spanning applied statistics, deep learning, and forecasting—and the executive presence required to influence cross-functional strategy while maintaining compliance with Genentech’s standards.
- Technical Leadership & Architecture: Lead and guide the data science lifecycle for high-priority AI/ML projects, serving as the subject matter expert for advanced analytical methodologies across DDA.
- Product & Capability Ownership: Drive the end-to-end development, scaling, and deployment of AI solutions to optimize marketing efficiency, medical affairs strategy, and customer experience.
- Strategic Partnership: Act as a critical technical advisor to leadership and cross-functional stakeholders; leverage deep technical expertise and proactive research to influence long-term commercial and clinical business strategies.
- Advanced Methodology Application: Apply ML, deep learning, and applied statistics to extract high-value insights from complex, disparate structured and unstructured data sources.
- Cross-Functional Synergy: Collaborate seamlessly with Data Science Product Owners, ML Engineers, and other teams to build production-grade, scalable applications. Openly share perspectives to elevate the team’s technical maturity and optimally weigh technical vs. business trade-offs.
- Influence & Storytelling: Translate highly complex algorithmic architectures and predictive insights into concise, compelling business narratives that inspire trust and drive immediate operational action among non-technical stakeholders.
WHO YOU ARE
- Bachelor’s Degree and 7+ years of hands-on experience in AI with a proven track record of technical leadership, innovation, and independent project execution.
- 3+ years of dedicated experience applying Recommender Systems (e.g., content-based/collaborative filtering) and predictive/forecasting models to enterprise-scale data to drive tangible business results.
- Deep proficiency in quantitative fields including Deep Learning (applied to recommendation engines or advanced forecasting), Causal Inference, and advanced statistical modeling.
- Strong experience working with large-scale, complex data environments utilizing big data platforms (Hadoop, Spark) and cloud-computing ecosystems (AWS).
- Advanced proficiency in Python and deep familiarity with open-source machine learning and agentic libraries/frameworks (e.g., LangChain, CrewAI, TensorFlow, PyTorch) to solve enterprise-level problems.
PREFERRED
- Master’s or PhD in Data Science, Computer Science, Applied Mathematics, Statistics or a related quantitative field.
- Deep knowledge of highly regulated environments (healthcare, pharma, biotech) with specific experience utilizing Commercial, Medical Affairs, claims, marketing, and longitudinal patient data.
- A proven ability to successfully pivot and apply transferable artificial intelligence and machine learning techniques across diverse business domains and ambiguous use cases.
- Experience using industry-standard tools like Tableau, Qlik, or Data Studio to translate complex data into accessible, democratized insights.
- Strong communication, leadership, and time management skills, backed by a track record of open-source contributions, peer-reviewed publications, or patents.
LOCATION
This position is based in South San Francisco, CA at our Genentech Campus and offers a hybrid schedule working 3 days per week on campus.
Relocation benefits are not available for this posting.
COMPENSATION
The expected salary range for this position based on the primary location of South San Francisco, CA is $207,480 and $385,320. 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: Jun 5th 2026
- Job ID: 202605-112573
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.
See all Data Contributor Jobs at Genentech
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Contributor Jobs at Genentech.
Get Access To All JobsTips for Finding Data Contributor Jobs at Genentech
Frame your credentials around regulated data environments
Genentech operates under FDA oversight, so your resume should highlight experience with GxP-compliant data systems, clinical trial databases, or validated data entry workflows. Generic data experience reads weaker than biotech-specific context.
Target roles tied to active clinical programs
Data Contributor openings at Genentech tend to cluster around pipeline milestones and trial phases. Monitoring Genentech's pipeline updates can signal which therapeutic areas are actively hiring, letting you tailor your application timing and focus accordingly.
Clarify your OPT or CPT authorization before applying
If you're on F-1 status, confirm your authorized work period covers Genentech's typical onboarding timeline. OPT gaps or cap-out dates that fall within the first year of employment raise complications that can slow or stall an otherwise strong offer.
Understand how TN status applies to your role
Canadian and Mexican nationals in data roles can qualify for TN status under the Computer Systems Analyst or Statistician categories, but the job duties must align precisely. Review the DOL's occupational definitions before assuming your Data Contributor title qualifies.
Prepare for H-1B timing early in the process
If your offer arrives after October, your H-1B won't be eligible until the following fiscal year cap registration in March. Discuss this window with your Genentech recruiter upfront so both sides plan around USCIS filing timelines rather than discovering the gap at the offer stage.
Use Migrate Mate to filter verified sponsoring roles
Not every Data Contributor listing at Genentech explicitly states sponsorship availability. Use Migrate Mate to surface roles at Genentech that are verified for your specific visa type, so you apply to positions where sponsorship is already confirmed rather than asking at the end of a process.
Frequently Asked Questions
Does Genentech sponsor H-1B visas for Data Contributors?
Yes, Genentech sponsors H-1B visas for Data Contributor roles. The position generally qualifies as a specialty occupation given the degree requirements tied to clinical data management and biotech systems. Your offer letter should reflect a role-specific job description that supports the H-1B specialty occupation standard, which your employer will need to establish when filing the Labor Condition Application with the DOL.
How do I apply for Data Contributor jobs at Genentech?
You can apply directly through Genentech's careers portal or browse verified open roles on Migrate Mate, which filters positions by visa sponsorship eligibility. When applying, tailor your application to Genentech's regulated data environment by highlighting experience with clinical or biotech data systems. Roles in this function often require familiarity with data integrity standards relevant to FDA-regulated research.
Which visa types does Genentech commonly use for Data Contributor roles?
Genentech sponsors a range of visa categories for Data Contributor positions, including H-1B, TN visa for Canadian and Mexican nationals, F-1 OPT and CPT for students in their authorized work periods, and employment-based Green Card pathways such as EB-2 and EB-3 for longer-term sponsorship. The right category depends on your nationality, education, and how long you need authorization to remain in the role.
What qualifications does Genentech expect for Data Contributor roles?
Genentech typically expects candidates to hold a bachelor's degree in a relevant field such as life sciences, bioinformatics, or health informatics. Hands-on experience with clinical data management systems, GxP-compliant workflows, or electronic data capture platforms strengthens your profile significantly. For H-1B purposes, the degree field should align with the specific duties of the role rather than general data or IT experience.
How do I time my application around H-1B cap deadlines?
USCIS opens H-1B cap registration each March for the fiscal year beginning October 1. If you receive an offer from Genentech outside that window, your start date will need to align with the next available cap cycle. Discussing timeline expectations with your recruiter before the offer stage helps both parties avoid situations where an accepted offer cannot be activated for months due to USCIS filing constraints.