Green Card Biology Jobs
Biology roles in research, biotech, and environmental science qualify for EB-2 and EB-3 green card sponsorship through the PERM labor certification process. Employers file a PERM application with DOL before petitioning USCIS, putting you on a path to permanent residency rather than a temporary visa.
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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 organisations 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 (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in delivering more innovative and transformative medicines for patients worldwide.
The sub-department of Oncology in Computational Biology and Medicine at Genentech is seeking a visionary and highly motivated Senior Scientist to join a newly forming team focused on Multimodal Data Integration. This role will focus on modeling high-dimensional data at the critical interface of disease biology and translational medicine.
The successful candidate will be responsible for the vertical integration of diverse, disease-specific large datasets. In this role, you will work alongside experts in disease biology and drug development to address the missing link: integration across pre-clinical and clinical modalities to associate biological mechanisms with clinical outcomes. You will develop computational frameworks and advanced statistical models in partnership with other computational biologists to creatively address complex scientific questions from Research and Translational Medicine and to deliver actionable biological insights and therapeutic strategies.
The Opportunity:
- Vertical Integration: You will lead the integration of multimodal datasets - including high-throughput transcriptomics, epigenomics, drug-response, and clinical data (e.g., ctDNA, imaging) - to enable multi-state modeling and patient subtyping.
- Bridge Pre-clinical & Clinical: You will develop methods to associate pre-clinical model profiles (cell lines, organoids) with clinical segments to validate biomarkers and therapeutic targets.
- Method Development: You will design and deploy computational workflows and frameworks leveraging statistical, computational biology and advanced machine learning methods to enable insight generation from high-dimensional profiling techniques.
- Interpretability & Insight: Your focus will be on "interpretable AI" - developing models that go beyond prediction to explain the underlying biology and mechanisms of action/resistance.
- Collaborative Leadership: Sitting next to the biologists, you will co-create and lead technical roadmaps for complex experimental questions, acting as a creative bridge between experimental oncology and machine learning groups.
- Strategic Impact: As a senior member of the team, you will provide the vision to transition from simple data processing to sophisticated biomarker development and mechanism-driven discovery.
Who You Are:
- Educational Background: Ph.D. in Computational Biology, Systems Biology, Bioinformatics, or a related field with 0-2 years of significant postdoctoral or industry experience.
- Multimodal Expertise: Proven track record in integrating data from multiple modalities (e.g., NGS, single-cell, proteomics, perturbational and clinical data) using advanced statistical modeling or systems biology.
- Machine Learning & Modeling: Deep understanding of recent ML methods with a specific emphasis on model interpretability.
- Technical Proficiency: Expert-level fluency in R and Python. Experience building scalable computational workflows for large-scale data integration is required. You are familiar with AI-supported and agentic coding tools.
- Biological Depth: Strong foundation in cancer biology and oncogenic signaling. Proficiency in communicating intricate biological principles is essential for facilitating productive collaborations and strategic alignment with experimental research leadership.
- Visionary & Creative: Ability to navigate ambiguity and partner with stakeholders to turn creative research ideas into impactful, innovative computational strategies.
- Communicator: Excellent skills in data visualization and the ability to present complex multimodal findings to diverse audiences (from ML scientists to clinical physicians).
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 $130,800 - $242,800. 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.
Benefits
LI-JD1
ComputationCoE
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 organisations 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 (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in delivering more innovative and transformative medicines for patients worldwide.
The sub-department of Oncology in Computational Biology and Medicine at Genentech is seeking a visionary and highly motivated Senior Scientist to join a newly forming team focused on Multimodal Data Integration. This role will focus on modeling high-dimensional data at the critical interface of disease biology and translational medicine.
The successful candidate will be responsible for the vertical integration of diverse, disease-specific large datasets. In this role, you will work alongside experts in disease biology and drug development to address the missing link: integration across pre-clinical and clinical modalities to associate biological mechanisms with clinical outcomes. You will develop computational frameworks and advanced statistical models in partnership with other computational biologists to creatively address complex scientific questions from Research and Translational Medicine and to deliver actionable biological insights and therapeutic strategies.
The Opportunity:
- Vertical Integration: You will lead the integration of multimodal datasets - including high-throughput transcriptomics, epigenomics, drug-response, and clinical data (e.g., ctDNA, imaging) - to enable multi-state modeling and patient subtyping.
- Bridge Pre-clinical & Clinical: You will develop methods to associate pre-clinical model profiles (cell lines, organoids) with clinical segments to validate biomarkers and therapeutic targets.
- Method Development: You will design and deploy computational workflows and frameworks leveraging statistical, computational biology and advanced machine learning methods to enable insight generation from high-dimensional profiling techniques.
- Interpretability & Insight: Your focus will be on "interpretable AI" - developing models that go beyond prediction to explain the underlying biology and mechanisms of action/resistance.
- Collaborative Leadership: Sitting next to the biologists, you will co-create and lead technical roadmaps for complex experimental questions, acting as a creative bridge between experimental oncology and machine learning groups.
- Strategic Impact: As a senior member of the team, you will provide the vision to transition from simple data processing to sophisticated biomarker development and mechanism-driven discovery.
Who You Are:
- Educational Background: Ph.D. in Computational Biology, Systems Biology, Bioinformatics, or a related field with 0-2 years of significant postdoctoral or industry experience.
- Multimodal Expertise: Proven track record in integrating data from multiple modalities (e.g., NGS, single-cell, proteomics, perturbational and clinical data) using advanced statistical modeling or systems biology.
- Machine Learning & Modeling: Deep understanding of recent ML methods with a specific emphasis on model interpretability.
- Technical Proficiency: Expert-level fluency in R and Python. Experience building scalable computational workflows for large-scale data integration is required. You are familiar with AI-supported and agentic coding tools.
- Biological Depth: Strong foundation in cancer biology and oncogenic signaling. Proficiency in communicating intricate biological principles is essential for facilitating productive collaborations and strategic alignment with experimental research leadership.
- Visionary & Creative: Ability to navigate ambiguity and partner with stakeholders to turn creative research ideas into impactful, innovative computational strategies.
- Communicator: Excellent skills in data visualization and the ability to present complex multimodal findings to diverse audiences (from ML scientists to clinical physicians).
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 $130,800 - $242,800. 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.
Benefits
LI-JD1
ComputationCoE
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 Green Card Sponsorship in Biology
Document your biology credentials precisely
PERM requires your degree field to match the job's minimum requirements. A degree in biochemistry or microbiology supports different roles than a general biology degree, so verify the SOC code your employer plans to use before recruiting begins.
Target employers with active PERM filing history
Biotech firms, pharmaceutical companies, and federal research contractors file PERM more frequently than academic labs or small environmental consultancies. Searching DOL's OFLC disclosure data by occupation filters for employers who have successfully sponsored biology professionals before.
Use Migrate Mate to find sponsoring biology employers
Many biology job postings never mention green card sponsorship even when the employer is willing. Migrate Mate surfaces companies with verified PERM filing history for biology and life science roles, so you target interviews where sponsorship is already on the table.
Verify prevailing wage before accepting an offer
DOL sets prevailing wage at Levels I through IV for each biology SOC code by location. Use OFLC Wage Search to confirm your offered salary meets the required level before signing, since a wage below DOL's threshold will cause the PERM application to fail.
Ask employers about PERM recruitment timing upfront
PERM requires employers to complete supervised recruitment before filing, typically adding four to six months before the I-140 petition even starts. Asking about this timeline during the offer stage tells you whether the employer has done this before and how they plan to proceed.
Check your O*NET profile to confirm specialty occupation status
EB-2 eligibility for biology roles depends on the position requiring an advanced degree. The O*NET occupation profile for your specific role shows the typical education level, which supports your employer's PERM job requirements and strengthens the I-140 petition.
Green Card Biology: Frequently Asked Questions
Do biology roles qualify for EB-2 or EB-3 green card sponsorship?
Most biology positions qualify for EB-3 as professional roles requiring at least a bachelor's degree. Roles requiring a master's degree or higher, such as senior research scientists or regulatory affairs specialists in biotech, can qualify for EB-2. Your employer specifies the minimum requirements in the PERM job description, which determines which category applies.
How does green card sponsorship differ from H-1B for biology professionals?
H-1B visa is a temporary status capped at 65,000 slots annually with a lottery, while EB-3 green card sponsorship has no annual lottery and leads to permanent residency. The tradeoff is timeline: PERM labor certification adds six to eighteen months before you file the I-140 petition. For nationals of countries without significant visa backlogs at the EB-3 level, the green card path can be faster long-term than cycling through H-1B renewals.
Where can I find biology employers that sponsor green cards?
Migrate Mate filters job opportunities by verified PERM and green card sponsorship history, so you can search biology and life science roles knowing the employer has sponsored foreign workers before. This is more reliable than filtering general job postings by keywords, since most listings don't disclose sponsorship willingness upfront.
What happens to my green card case if I change biology employers mid-process?
If your I-140 petition has been approved for more than 180 days, you may be able to port your priority date to a new employer under a similar biology occupation without restarting PERM from scratch. Before the 180-day mark, changing employers generally requires your new employer to file a new PERM application and I-140, which resets your place in line.
Does a biology master's degree automatically qualify me for EB-2?
Not automatically. The EB-2 category requires both that you hold an advanced degree and that the job itself requires one. If your employer's PERM job description lists a bachelor's degree as sufficient, USCIS will classify the petition as EB-3 regardless of your actual credentials. Your employer must structure the minimum job requirements at the master's level for EB-2 to apply.