Senior/Principal AI/ML Computational Scientist

Overview Development Sciences (DevSci) is a translational science organization that spans the entire drug discovery and development cycle. Within DevSci, the Translational Safety (TS) department is responsible for the preclinical safety evaluation of candidate therapeutic molecules to support their advancement into human studies. The Digital Pathology group develops and applies computational methods to enhance traditional pathology and toxicology assessments, extracting quantitative, reproducible, and biologically meaningful information from digital histopathology images and related datasets to support preclinical safety assessment, mechanistic investigation, and translational research. Responsibilities Develop and apply computational image‑analysis methods and pipelines using classical image processing, machine learning, and deep learning approaches. Analyze digital pathology and related imaging datasets to extract quantitative features, generate interpretable results, and support biologically relevant conclusions. Collaborate closely with pathologists, toxicologists, and cross‑functional scientists to understand project goals, design analytical strategies, and interpret findings in a biological context. Contribute to the development of reusable, well‑documented computational workflows and research tools. Perform data quality assessment, statistical analyses, and data visualization to support scientific decision‑making. Evaluate and implement emerging computational approaches relevant to digital pathology and image analysis. Communicate results clearly through presentations, written summaries, and discussions with technical and non‑technical stakeholders. Contribute to a collaborative, rigorous, and scientifically curious team environment. Qualifications PhD in biomedical engineering, bioengineering, computer science, computational biology, bioinformatics, data science, statistics, computer vision, image analysis, or a related quantitative discipline. Senior Scientist level (0–2 years) or Principal Scientist level (3+ years of experience). Strong background in image analysis, computer vision, machine learning, and deep learning. Proficiency in Python for scientific computing and data analysis. Experience with at least one deep‑learning framework such as PyTorch or TensorFlow. Demonstrated ability to develop and implement computational methods or pipelines for image‑based data analysis. Strong quantitative, analytical, and problem‑solving skills. Strong written and verbal communication skills and the ability to work effectively in cross‑disciplinary teams. Interest in applying computational approaches to biomedical imaging and translational safety questions. Position leveling will be determined after the interview process. Preferred Experience Experience with digital pathology, whole‑slide image analysis, histology, microscopy, or other biomedical imaging data. Experience with statistical analysis and data visualization. Familiarity with version control and collaborative software development practices. Familiarity with open‑source or commercial image‑analysis tools such as OpenSlide, QuPath, HALO, Visiopharm, or related platforms. Experience working in high‑performance computing or cloud computing environments.Experience curating, organizing, or preparing image datasets for model development. Experience working in collaborative research environments involving both computational and experimental scientists. Compensation & Benefits The expected salary range for this position based on the primary location of California is $156,200–$290,200 (Senior Scientist) and $185,200–$343,900 (Principal Scientist). 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. Relocation benefits are available for this posting. This position also qualifies for the benefits detailed at the company site. Equal Opportunity Employer 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. #J-18808-Ljbffr F. Hoffmann-La Roche AG