AI/ML Imaging Data Scientist

Genentech; South San Francisco (CA); In loco; USD 126.000 - 234.000; Tempo pieno

Vantaggi offerti da questo lavoro

Relocation benefits

Descrizione del lavoro

Genentech, Inc. in South San Francisco is seeking an AI/ML Imaging Data Scientist to design, develop, and deploy advanced image analysis and ML solutions for regulatory-ready clinical research.

You will collaborate across clinical and data science teams to apply vision models to oncology, neuroscience, and ophthalmology datasets. The role emphasizes rigorous model development practices, reproducible pipelines, and effective communication of insights to non-technical stakeholders.

Competenze

• MSc or PhD in Computer Science, Machine Learning, Statistics, Electrical Engineering, Biomedical Engineering, or related field.
• 2+ years of post-graduate experience in ML, data science, or AI in medical imaging applications within biomedical/ pharma/ healthcare settings.
• Strong communication, problem-solving, and teamwork skills; ability to work independently and cross-functionally.
• Expertise in image analysis, pattern recognition, ML, computer vision, LLMs/Foundation Models, data mining, statistics, and probabilistic modeling.
• Proficiency with scientific programming languages and familiarity with HPC, ML experiment monitoring, and modern AI tools. Preferred: Python, Git, GitLab, Docker, shell scripting, Slurm/LSF.
• Knowledge of robust AI/ML development practices: train/val/test design, leakage prevention, benchmarking, uncertainty analysis, external validation, and reproducible pipelines.
• Capacity for independent thinking, principled decision-making, and strategic agility beyond technical.

Mansioni

• Design, develop, and deploy AI-based solutions to enhance clinical trial design, conduct, interpretation, and probability of success across stages.
• Develop and implement advanced image analysis applications using standard and foundation models for oncology, neuroscience, and ophthalmology datasets.
• Collaborate cross-functionally with clinicians, biostatisticians, imaging experts, MLOps, and data scientists to integrate ML models into Roche platforms and workflows.
• Analyze complex imaging, biological, and clinical data to generate actionable insights for decision-making in clinical development.
• Work with MLOps and clinical imaging data management groups to deploy, maintain, and integrate computational solutions.
• Present technical insights to scientific and non-technical audiences; contribute to publications and internal knowledge.
• Stay aware of AI/ML, imaging, and digital biomarker trends; contribute to the development of digital health innovations.

Conoscenze

Image analysis

Machine learning

Computer vision

Large Language Models

Data mining

Statistics

Probabilistic modeling

Python

Git

Docker

Shell scripting

Slurm/LSF

Formazione

MSc/PhD in CS/ML/Stats/EE/Biomedical Eng

Strumenti

Python

Git

GitLab

Docker

Shell scripting

Slurm/LSF

Descrizione del lavoro

Department SummaryThis role is based in the Digital Endpoints and Patient-Centered Solutions (DEPCS) team, the innovative digital, AI, and tech function within Roche Product Development Data Sciences (PDD). Operating across the Science of Medicines and Operations, DEPCS is responsible for embedding patient-centered and AI-enabled digital solutions into the fabric of clinical research. By integrating data science, measurement science, and digital product thinking, DEPCS delivers scalable and regulatory-ready innovations that enhance trial design, evidence generation, and clinical value of Roche medicines.

The Position

AI/ML Imaging Data Scientist

This role is based in the Digital Endpoints and Patient-Centered Solutions (DEPCS) team, the innovative digital, AI, and tech function within Roche Product Development Data Sciences (PDD). Operating across the Science of Medicines and Operations, DEPCS is responsible for embedding patient-centered and AI-enabled digital solutions into the fabric of clinical research. By integrating data science, measurement science, and digital product thinking, DEPCS delivers scalable and regulatory-ready innovations that enhance trial design, evidence generation, and clinical value of Roche medicines.

This position is based in South San Francisco, on site.

The Opportunity

• You design, develop, and deploy AI-based solutions to enhance clinical trial design, conduct, interpretation, and probability of success, from early to late-stage drug development.
• You design and implement advanced image analysis applications. These algorithms are based on standard image analysis techniques, vision foundation models and machine learning algorithms tailored to clinical trial data, in a range of disease areas, including oncology, neuroscience, and ophthalmology, ensuring best AI/ML model development practices.
• You collaborate cross-functionally, including with clinicians, biostatisticians, imaging experts, MLOps and other data scientists, to integrate machine learning models into Roche platforms and clinical workflows.
• You analyze complex imaging, biological, and clinical data to generate insights supporting decision-making in clinical development.
• You will work closely with the MLOps and clinical imaging data management groups to deploy, maintain and integrate computational solutions.
• You will utilize and build on your experience in scientific/medical imaging, data and image management, application of novel statistical and machine learning approaches to large unstructured data, software development, and scientific data transfers.
• You present technical insights to both scientific and non-technical audiences.
• You contribute to the publication of findings and to internal knowledge development efforts.
• You maintain awareness of trends in AI/ML, imaging and digital biomarkers, and clinical AI.

Who You Are

• You hold an MSc or PhD (preferred) in Computer Science, Machine Learning, Statistics, Electrical Engineering, Biomedical Engineering, or a related field.
• You have 2+ years of post-graduate experience in machine learning, data science, or AI in medical imaging applications within biomedical, pharma, or healthcare innovation settings.
• You bring excellent communication, problem-solving, and teamwork skills, with a track record of delivering innovative machine learning solutions aligned with business needs, and the ability to work independently as well as in a cross-functional team.
• You have expertise in image analysis, pattern recognition, machine learning, computer vision, Large Language Models/Foundation Models, data mining, statistics, and probabilistic modeling.
• You are proficient with scientific programming languages and familiar with high-performance computing infrastructure, machine learning experiment monitoring workflows and modern AI-assisted development tools. Preferred skills include Python, Git, GitLab, Docker, shell scripting, and Slurm/LSF.
• You have expertise in applying rigorous AI/ML development practices, including appropriate train/validation/test design, leakage prevention, robust benchmarking, uncertainty and error analysis, external validation, experiment tracking, reproducible pipelines.
• You demonstrate capacity for independent thinking and ability to make decisions based upon sound principles.
• You bring excellent strategic agility including problem-solving and critical thinking skills, and agility that extends beyond the technical domain.
• You demonstrate respect for cultural differences when interacting with colleagues in the global workplace.

Preferred

• Experience developing or validating ML models for regulated environments or real-world datasets.
• Contributions to scientific publications or open-source projects in healthcare AI.

Relocation benefits are available for this posting.

The expected salary range for this position based on California is 126 200,00 - 234 400,00 USD Annual. 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

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.