Software Engineer Jobs at Genentech with Visa Sponsorship
Genentech builds software that powers drug discovery, clinical systems, and patient data infrastructure, so Software Engineer roles here sit at the intersection of biotech and enterprise-scale engineering. The company has a consistent track record of sponsoring work visas for this function across multiple visa categories.
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Get Access To All JobsTHE POSITION
A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.
Advances in AI, data and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The Computational Sciences Center of Excellence (CS CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and life-changing medicines for patients worldwide.
Within the CS CoE organisation, the Data and Digital Catalyst (DDC) organization leads the modernization of our computational and data ecosystems by integrating digital technologies across Research and Early Development to empower stakeholders, advance data-driven science and accelerate decision-making.
The Solutions team within the DDC Organization develops modernized and interconnected computational and data ecosystems. The Data Ecosystem is foundational to building solutions that accelerate the work done by our Computational and Bench Scientists and enable ML/AI tool creation and adoption. Our team specializes in building Data Pipelines and Applications for data acquisition, collection, storage, transformation, linkage and sharing.
We’re looking for a full-stack software engineer to join our team building modern software solutions for Pathology organizations across Roche.
The Opportunity:
- You will develop and maintain systems for collecting, structuring, and storing diverse scientific and operational data that support advanced analytics, machine learning, and other data-driven initiatives.
- You will deliver data flows and pipelines to support research pathology.
- You will design and implement integrations between LIMS, ELN, workflow orchestration systems, AWS components, and other internal systems for scientific and operational data management.
- You will implement novel AI-based solutions (ex. agents) to improve scientific and operational data management.
- You will be an engineer on a team responsible for working under a technical lead and alongside a team of analysts with deep scientific expertise.
Who You Are:
- You have a Bachelor’s or Master’s degree in Computer Science or similar technical field, or equivalent experience and 5+ years of professional experience in a full-stack software development role.
- You have experience building enterprise-grade systems for R&D scientific data management.
- You are proficient in programming languages such as Java, Kotlin, and/or Python.
- You have experience building solutions with NoSQL databases, data warehouses, graph databases, and/or data lakes to store scientific data.
- You have experience with event-driven architecture patterns and working with streaming platforms such as Apache Kafka.
- You have experience with front-end frameworks (React, Vue), comfortable with developing APIs and MCPs and experience with Kubernetes for container orchestration.
- You are proficient with Git, CI/CD tools such as GitHub Actions and Argo, and AWS.
- You have excellent communication and presentation skills and have experience building solutions on cross-functional teams that include analysts, engineers, product managers, and technical leads.
Preferred Qualifications:
- Experience deploying systems that include agentic components and low-level orchestration frameworks for agentic workflows such as LangGraph.
- Experience in a life science or drug development environment is strongly preferred.
- Knowledge of pathology processes and data is beneficial.
Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week.
Relocation benefits are not available for this job posting.
The expected salary range for this position based on the primary location of California is $142,500 - $264,700. 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 Research Informatics
Schedule Full time
Job Type Regular
Posted Date Mar 23rd 2026
Job ID 202603-107476
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
A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.
Advances in AI, data and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The Computational Sciences Center of Excellence (CS CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and life-changing medicines for patients worldwide.
Within the CS CoE organisation, the Data and Digital Catalyst (DDC) organization leads the modernization of our computational and data ecosystems by integrating digital technologies across Research and Early Development to empower stakeholders, advance data-driven science and accelerate decision-making.
The Solutions team within the DDC Organization develops modernized and interconnected computational and data ecosystems. The Data Ecosystem is foundational to building solutions that accelerate the work done by our Computational and Bench Scientists and enable ML/AI tool creation and adoption. Our team specializes in building Data Pipelines and Applications for data acquisition, collection, storage, transformation, linkage and sharing.
We’re looking for a full-stack software engineer to join our team building modern software solutions for Pathology organizations across Roche.
The Opportunity:
- You will develop and maintain systems for collecting, structuring, and storing diverse scientific and operational data that support advanced analytics, machine learning, and other data-driven initiatives.
- You will deliver data flows and pipelines to support research pathology.
- You will design and implement integrations between LIMS, ELN, workflow orchestration systems, AWS components, and other internal systems for scientific and operational data management.
- You will implement novel AI-based solutions (ex. agents) to improve scientific and operational data management.
- You will be an engineer on a team responsible for working under a technical lead and alongside a team of analysts with deep scientific expertise.
Who You Are:
- You have a Bachelor’s or Master’s degree in Computer Science or similar technical field, or equivalent experience and 5+ years of professional experience in a full-stack software development role.
- You have experience building enterprise-grade systems for R&D scientific data management.
- You are proficient in programming languages such as Java, Kotlin, and/or Python.
- You have experience building solutions with NoSQL databases, data warehouses, graph databases, and/or data lakes to store scientific data.
- You have experience with event-driven architecture patterns and working with streaming platforms such as Apache Kafka.
- You have experience with front-end frameworks (React, Vue), comfortable with developing APIs and MCPs and experience with Kubernetes for container orchestration.
- You are proficient with Git, CI/CD tools such as GitHub Actions and Argo, and AWS.
- You have excellent communication and presentation skills and have experience building solutions on cross-functional teams that include analysts, engineers, product managers, and technical leads.
Preferred Qualifications:
- Experience deploying systems that include agentic components and low-level orchestration frameworks for agentic workflows such as LangGraph.
- Experience in a life science or drug development environment is strongly preferred.
- Knowledge of pathology processes and data is beneficial.
Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week.
Relocation benefits are not available for this job posting.
The expected salary range for this position based on the primary location of California is $142,500 - $264,700. 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 Research Informatics
Schedule Full time
Job Type Regular
Posted Date Mar 23rd 2026
Job ID 202603-107476
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.
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Get Access To All JobsTips for Finding Software Engineer Jobs at Genentech Jobs
Align your portfolio to biotech engineering contexts
Genentech's engineering teams build systems handling clinical trial data, lab automation, and regulatory compliance pipelines. Showcasing prior work in healthcare data, HIPAA-adjacent environments, or life sciences tooling signals faster ramp-up time to hiring managers.
Clarify your visa status before the recruiter screen
Genentech sponsors multiple visa categories, but each has a different employer cost and timeline. Telling your recruiter upfront whether you need H-1B cap sponsorship, OPT extension, or TN status lets them route your candidacy to the right hiring team early.
Target teams where PERM sponsorship is feasible
If your goal is a Green Card, prioritize applying to Genentech's product and platform engineering roles over contract-adjacent positions. Permanent sponsorship through PERM requires a long-term employer commitment, which is more common in core engineering functions than project-based teams.
Time your application around the H-1B cap window
If you need cap-subject H-1B sponsorship, Genentech must file your petition during USCIS's annual lottery window, which opens in March. Receiving an offer in late fall or winter gives both you and the employer enough runway to prepare the filing without rushing.
Use Migrate Mate to surface active Software Engineer openings
Genentech's open Software Engineer roles aren't always easy to track across job boards. Use Migrate Mate to filter specifically for Genentech postings that include visa sponsorship, so you're applying to positions where sponsorship is already confirmed rather than guessing from the job description.
Verify your OPT employment authorization start date matches the offer
If you're on F-1 OPT, your employment start date must fall within your authorized period. If your OPT expires before Genentech's target start date, confirm whether they'll file an H-1B cap-gap extension to bridge the gap through your I-20 program end date.
Software Engineer at Genentech jobs are hiring across the US. Find yours.
Find Software Engineer at Genentech JobsFrequently Asked Questions
Does Genentech sponsor H-1B visas for Software Engineers?
Yes, Genentech sponsors H-1B visas for Software Engineer roles. The company files both cap-subject petitions for new sponsorships and cap-exempt transfers for candidates already holding H-1B status with another employer. If you're entering the H-1B lottery, your offer timing matters since USCIS's registration window opens in March each year.
How do I apply for Software Engineer jobs at Genentech?
Apply directly through Genentech's careers site or use Migrate Mate to browse verified Software Engineer openings at Genentech that include visa sponsorship. When applying, tailor your resume to reflect experience with data-intensive or regulated systems, which aligns with how Genentech's engineering teams are structured. Expect a technical screen followed by a multi-stage interview loop.
Which visa types does Genentech commonly use for Software Engineer roles?
Genentech sponsors H-1B, TN (for Canadian and Mexican nationals), F-1 OPT, and F-1 CPT for Software Engineers, and supports EB-2 and EB-3 Green Card sponsorship for employees in long-term roles. The right category depends on your nationality, education level, and whether you're seeking temporary work authorization or a path to permanent residence.
What qualifications does Genentech expect for Software Engineer roles?
Most Software Engineer roles at Genentech require a bachelor's or master's degree in computer science, software engineering, or a closely related field. Experience with cloud infrastructure, distributed systems, or data engineering is common across postings. Roles embedded in clinical or lab-facing products often expect familiarity with regulated software development practices such as FDA-regulated environments or GxP compliance.
How long does the visa sponsorship process take at Genentech?
Timeline depends on visa type. H-1B cap sponsorship runs through USCIS's annual lottery, with petitions filed in April and employment starting October 1 at the earliest. TN status for Canadian nationals can often be obtained at a port of entry within days of an offer. PERM-based Green Card sponsorship typically takes two to four years from filing to approval, depending on your country of birth and USCIS processing queues.
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