Scientist 3 – Translational Medicine – OMNI – Inflammatory Bowel Disease

Job description

The Position Genentech's Translational Medicine OMNI (TM OMNI) Department supports the entire R&D portfolio of novel therapies in Ophthalmology, Metabolism, Neuroscience, Immunology, and Infectious Diseases (OMNI). We develop and implement biomarker strategies to study disease pathways, confirm a therapeutic's mechanism of action, and improve clinical trial efficiency and success. Additionally, we conduct foundational clinical translational research to study the molecular and cellular pathways driving disease to generate novel target and biomarker approaches. Within Inflammatory Bowel Disease (IBD), we focus on integrating clinical and translational research to understand disease heterogeneity, mucosal immune dysregulation, and mechanisms of tissue damage and repair. We leverage clinical trial data, human biospecimens, and high-dimensional omics technologies to drive biomarker discovery and patient stratification, and enable reverse translation to accelerate therapeutic development. The Opportunity As a Scientist 3 in Translational Medicine OMNI, you will play a pivotal role in advancing our research in Inflammatory Bowel Disease (IBD). Positioned at the intersection of wet-lab experimentation and data science, you will collaborate with interdisciplinary teams to identify and validate novel therapeutic targets and biomarkers. In this high-impact role, you will apply human-relevant models and high-dimensional omics data to drive biomarker discovery and enable reverse translation, directly influencing clinical development strategies. Design and perform experimental studies using patient-derived human biospecimens (e.g., intestinal tissue biopsies, blood, stool) to unravel disease mechanisms in IBD. Establish and execute complex human-relevant model systems (including intestinal organoids, primary immune cell co-cultures, and air-liquid interface systems) to investigate pathway biology and therapeutic mechanisms of action. Develop, qualify, and execute custom assays (e.g., multiplex immunoassays, ELISA, flow cytometry, histology) to generate pharmacodynamic and disease-relevant readouts. Analyze and integrate high-dimensional datasets (scRNA-seq, CITE-seq, spatial transcriptomics, proteomics) using R or Python to discover biomarkers and support patient stratification. Support clinical biomarker research strategies by translating laboratory findings into actionable insights for cross-functional clinical development programs. Evaluate and implement emerging technologies and experimental platforms to continually advance our translational research capabilities in IBD. Collaborate closely with cross-functional partners across Research, Bioanalytical Sciences, Biostatistics, Computational Sciences, and Clinical Development to present findings and drive project goals. Who you are Education: PhD with post-doctoral experience in Immunology, Cell/Molecular Biology, Mucosal Biology, Biochemistry, or a related life sciences discipline, backed by a strong peer-reviewed publication record. Experience: Minimum of 3 years of hands-on experience in immunology or mucosal biology, ideally focused on Inflammatory Bowel Disease (IBD) research. Technical Expert: Proven technical expertise in benchtop techniques (flow cytometry, multiplex immunoassays, ELISA, RT-qPCR, histology) and single-cell workflows (scRNA-seq, CITE-seq). Analytical: Proficient in coding with R or Python for analyzing, visualizing, and interpreting large-scale preclinical and clinical omics datasets. Independent Scientist: Demonstrated ability to independently design, execute, and troubleshoot complex scientific studies while managing multiple priorities in a collaborative environment. Preferred Direct hands-on experience with primary cell isolation from human intestinal tissue. Advanced expertise with complex disease models, including 3D organoid cultures, co-culture systems, air-liquid interface organoids, or microphysiological systems (gut-on-a-chip). Experience using computational tools to directly analyze high-dimensional single-cell, spatial transcriptomics, or proteomics data beyond standard bench generation. Demonstrated track record of effective cross-functional collaboration within a matrixed, interdisciplinary research environment. Willingness to work in an open, highly collaborative environment with flexibility for global business hours as required. Relocation benefits are not available for this posting The expected salary range for this position based on the primary location of CA is $ 100,400.00 - $ 186,400.00 . 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 Compensation & Benefits Global Grade: SE6. Please note that the global grade displayed is a target global grade for the role and the actual global grade offered to a candidate may vary depending on several factors - including scope and breadth of the role. For further information relating to global grading in Roche please visit the global grading gSite . Roche is dedicated to ensuring fair and transparent pay practices for its employees. In compliance with state legal requirements, you may notice some of our job postings will now list salary ranges. Please note that the broad ranges are aligned with our global grading framework and, in some cases, may also include geographic differentials. As you consider making a change within the organization, this can include not only roles and responsibilities, but also an impact to compensation and benefits. 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