{"schemaVersion":"jobsearcher.job.v1","id":"f26f13e977191bf6a89e5e98","url":"https://jobsearcher.com/jobs/f26f13e977191bf6a89e5e98","canonicalUrl":"https://jobsearcher.com/jobs/f26f13e977191bf6a89e5e98","title":"Algorithm Developer","description":"The Position The new Computational Sciences Center of Excellence (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 transformative medicines for patients worldwide.\r\nImaging Data Insights, within the Computational Biology and Medicine (CBM) department, turns imaging data into decisions that move drug development forward. We develop clinical imaging endpoints and advance imaging algorithms from early exploration through validation, helping Genentech/Roche bring better medicines to patients faster.\r\nAs the South San Francisco imaging hub for teams across Genentech/Roche, we work where imaging problems become tools and insights that shape real scientific and clinical decisions.\r\nThe Opportunity We're seeking an Imaging AI Scientist to join Imaging Data Insights, applying machine learning and modern AI to turn imaging data into reusable tools, scalable workflows, and better decisions across drug development.\r\nYou'll move imaging analysis beyond individual projects into reusable pipelines that support portfolio decisions, modernizing traditional and ML-based approaches and increasingly exposing them as agent-callable tools on cloud infrastructure that scales across modalities. Some of these methods may be used in clinical trials or advance under GxP regulations.\r\nWorking across discovery, preclinical, and clinical teams, you'll help develop imaging solutions from endpoint selection through analysis, and partner with engineering, product, and scientific teams so the methods you build get adopted across programs. As a subject-matter expert, you'll apply ML to high-value problems across disease areas and stages of development, with room to advance new imaging models where it where it matters most.\r\nThis role will be open to two levels. We're equally interested in someone ready to operate at the Senior level now and someone earlier in their career with a clear trajectory toward it.\r\nResponsibilities Build reusable tools, pipelines, and agent-callable workflows that scale imaging methods and multiply what partner teams can deliver.\r\nDevelop, evaluate, and apply ML methods that produce reproducible, interpretable, and/or actionable imaging-derived insights.\r\nTranslate biological, translational, and clinical questions into fit-for-purpose imaging and analysis strategies.\r\nAdvance new imaging models and methods where they strengthen the science.\r\nPartner across biology, translational, clinical, and computational teams to understand the questions behind therapeutic programs and put solutions into practice.\r\nContribute to multimodal approaches that integrate imaging with biological, clinical, or translational evidence.\r\nWho You Are Required Demonstrated excellence with current AI/ML technology, turning ambiguous problems into effective, modern solutions that work in practice.\r\nExperience translating analytical or ML methods into reusable code, tools, or pipelines adopted by others beyond the original author.\r\nTrack record delivering models or analyses that perform in real-world settings, with strong intuition for data quality, labeling, evaluation, and reproducibility.\r\nProficiency in Python and modern ML frameworks (e.g., PyTorch), with clean, maintainable, reusable code.\r\nDemonstrated ability to ramp into and operate with discipline in a rigorous, high-stakes domain.\r\nAbility to work at the interface of imaging science, ML, and engineering, and drive work to real-world impact.\r\nPreferred Hands-on experience with clinical imaging data (e.g., MRI, CT, PET, OCT) or tissue-based imaging (e.g., digital pathology, spatial transcriptomics, spatial proteomics).\r\nExperience developing quantitative imaging strategies for clinical studies, such as endpoint selection, analysis plans, and data quality.\r\nExperience developing or integrating AI-enabled automation, agentic workflows, or decision-support tools for scientific analysis.\r\nExperience building ML or computational workflows, including data pipelines, evaluation frameworks, deployment patterns, monitoring, or MLOps practices.\r\nExperience with advanced ML such as multimodal modeling, representation learning, generative modeling, or interpretability, particularly in applied or regulated settings.\r\nFamiliarity with regulatory or validation considerations for clinical applications, such as biomarker validation, fit-for-purpose evaluation, or GxP practices.\r\nBenefits The expected salary range for this position based on the primary location of California is 124,800.00 - 231,800.00 USD annually. 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.\r\nGenentech 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.\r\nIf 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.\r\nJ-18808-Ljbffr","company":"Genentech","rawCompany":"genentech","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:42:12.978Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"19-1029.01","title":"Bioinformatics Scientists","slug":"bioinformatics-scientists"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"621512","title":"Diagnostic Imaging Centers","slug":"diagnostic-imaging-centers"},{"code":"541714","title":"Research and Development in Biotechnology (except Nanobiotechnology)","slug":"research-and-development-in-biotechnology-except-nanobiotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Algorithm Developer","description":"The Position The new Computational Sciences Center of Excellence (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 transformative medicines for patients worldwide.\r\nImaging Data Insights, within the Computational Biology and Medicine (CBM) department, turns imaging data into decisions that move drug development forward. We develop clinical imaging endpoints and advance imaging algorithms from early exploration through validation, helping Genentech/Roche bring better medicines to patients faster.\r\nAs the South San Francisco imaging hub for teams across Genentech/Roche, we work where imaging problems become tools and insights that shape real scientific and clinical decisions.\r\nThe Opportunity We're seeking an Imaging AI Scientist to join Imaging Data Insights, applying machine learning and modern AI to turn imaging data into reusable tools, scalable workflows, and better decisions across drug development.\r\nYou'll move imaging analysis beyond individual projects into reusable pipelines that support portfolio decisions, modernizing traditional and ML-based approaches and increasingly exposing them as agent-callable tools on cloud infrastructure that scales across modalities. Some of these methods may be used in clinical trials or advance under GxP regulations.\r\nWorking across discovery, preclinical, and clinical teams, you'll help develop imaging solutions from endpoint selection through analysis, and partner with engineering, product, and scientific teams so the methods you build get adopted across programs. As a subject-matter expert, you'll apply ML to high-value problems across disease areas and stages of development, with room to advance new imaging models where it where it matters most.\r\nThis role will be open to two levels. We're equally interested in someone ready to operate at the Senior level now and someone earlier in their career with a clear trajectory toward it.\r\nResponsibilities Build reusable tools, pipelines, and agent-callable workflows that scale imaging methods and multiply what partner teams can deliver.\r\nDevelop, evaluate, and apply ML methods that produce reproducible, interpretable, and/or actionable imaging-derived insights.\r\nTranslate biological, translational, and clinical questions into fit-for-purpose imaging and analysis strategies.\r\nAdvance new imaging models and methods where they strengthen the science.\r\nPartner across biology, translational, clinical, and computational teams to understand the questions behind therapeutic programs and put solutions into practice.\r\nContribute to multimodal approaches that integrate imaging with biological, clinical, or translational evidence.\r\nWho You Are Required Demonstrated excellence with current AI/ML technology, turning ambiguous problems into effective, modern solutions that work in practice.\r\nExperience translating analytical or ML methods into reusable code, tools, or pipelines adopted by others beyond the original author.\r\nTrack record delivering models or analyses that perform in real-world settings, with strong intuition for data quality, labeling, evaluation, and reproducibility.\r\nProficiency in Python and modern ML frameworks (e.g., PyTorch), with clean, maintainable, reusable code.\r\nDemonstrated ability to ramp into and operate with discipline in a rigorous, high-stakes domain.\r\nAbility to work at the interface of imaging science, ML, and engineering, and drive work to real-world impact.\r\nPreferred Hands-on experience with clinical imaging data (e.g., MRI, CT, PET, OCT) or tissue-based imaging (e.g., digital pathology, spatial transcriptomics, spatial proteomics).\r\nExperience developing quantitative imaging strategies for clinical studies, such as endpoint selection, analysis plans, and data quality.\r\nExperience developing or integrating AI-enabled automation, agentic workflows, or decision-support tools for scientific analysis.\r\nExperience building ML or computational workflows, including data pipelines, evaluation frameworks, deployment patterns, monitoring, or MLOps practices.\r\nExperience with advanced ML such as multimodal modeling, representation learning, generative modeling, or interpretability, particularly in applied or regulated settings.\r\nFamiliarity with regulatory or validation considerations for clinical applications, such as biomarker validation, fit-for-purpose evaluation, or GxP practices.\r\nBenefits The expected salary range for this position based on the primary location of California is 124,800.00 - 231,800.00 USD annually. 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.\r\nGenentech 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.\r\nIf 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.\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:42:12.978Z","dateModified":"2026-08-08T01:42:12.978Z","hiringOrganization":{"@type":"Organization","name":"Genentech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f26f13e977191bf6a89e5e98"},"url":"https://jobsearcher.com/jobs/f26f13e977191bf6a89e5e98"}}