Roche
Scientist 3- Translational Medicine (Multiple Sclerosis & TR focused)
South San Francisco
Sponsorship not specified$100k-$186kDetected 13 days ago
Clinical TrialsBioinformaticsResearchCommunicationPublic SpeakingBiostatistics
About the role
- We are seeking a talented and highly motivated Scientist 3 to join Genentech's Translational Medicine OMNI team in South San Francisco.
- As an integral member of our dynamic team, you will:
- Contribute to the discovery and validation of MS disease biomarkers and therapeutic targets by integrating human clinical sample data with molecular phenotyping and multi-omics approaches.
Responsibilities
- Design and execute translational research experiments using clinical biospecimens (e.g., CSF, PBMCs, whole blood, serum) to investigate mechanisms of disease heterogeneity, target engagement, and disease progression relevant to MS.
- Analyze and interpret high-dimensional datasets from clinical samples, including single-cell RNA-seq, CITE-seq, bulk RNA-seq, spatial transcriptomics, and/or proteomics, to generate translational insights that support clinical development.
- Support biomarker strategy and execution for MS clinical trials, including evaluation of pharmacodynamic markers, patient stratification approaches, and disease-relevant endpoints.
- Collaborate cross-functionally with Clinical Development, Bioanalytical Assay Development, Biostatistics, and Computational Biology to build cohesive biological narratives from clinical trial data.
- Partner with external collaborators, academic institutions, and consortia to advance MS translational research programs.
- Contribute to the development of clinical study documents, including biomarker sections of Clinical Protocols, Investigator's Brochures, and internal governance materials.
- Are able to independently design, execute, and interpret translational experiments with strong scientific rigor and attention to data quality.
- Demonstrate effective organization, ability to manage multiple priorities, and comfort working in a fast-paced, cross-functional environment across global teams.
Requirements
- Demonstrate proficiency in multi-omics technologies and familiarity with analysis and interpretation of high-dimensional datasets, such as scRNA-seq, CITE-seq, spatial transcriptomics, bulk RNA-seq, or proteomics.
- Have working knowledge of biomarker development principles and an ability to connect molecular findings to clinical questions such as dose selection, patient stratification, or target engagement.
Compensation
- The expected salary range for this position based on the primary location of California is $100,400 -186,400.
Equal opportunity
- equal opportunity employer.
- If you have a disability and need an accommodation in relation to the online
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