Sr. Scientist - Computational Biology - Neuroscience & Rare Diseases

Opportunity

We are seeking a highly motivated computational scientist to join our Neuroscience and Rare Diseases therapeutic area.

In this role, you will be a key member of an interdisciplinary team dedicated to advancing our understanding of neurological diseases and identifying novel therapeutic targets and biomarkers through analysis of high-dimensional data.

• Lead the analysis of high‑dimensional datasets such as single‑cell, spatial, proteomics, metabolomics, and human genetics data to support therapeutic and biomarker development.
• Collaborate closely with the AI/ML foundation model development teams and apply advanced quantitative methods to support drug discovery projects in Neuroscience and Rare Diseases.
• Deliver clear, objective, data‑driven insights to inform portfolio decision‑making.
• Contribute to the data and analytics strategy for Neuroscience and Rare Diseases efforts in collaboration with partners in the therapeutic area.
• Develop effective working relationships with key stakeholders in the disease therapeutic area, laboratory teams, and computational teams.
• Contribute to a collaborative workplace culture of scientific rigor, continuous improvement, and open feedback.
• Support the scientific growth of team members by sharing knowledge and expertise.

• Ph.D. in Bioinformatics, Biostatistics, Computational Biology, or a related field with 3‑5 years of relevant work experience.
• Demonstrated experience in drug discovery and/or translational research.
• Experience with disease biology, preferably in neurodegenerative diseases or neuro‑immune interactions.
• Technical expertise in one or more of the following: high‑dimensional omics analysis (scRNA‑seq, spatial data, proteomics, metabolomics), population statistical genetics, or integrative multi‑omics from preclinical and/or clinical samples.
• Published primary author papers in peer‑reviewed scientific journals.
• Strong programming skills in R and/or Python.
• Working knowledge of a Linux/Unix environment and experience processing data on an HPC cluster.
• Knowledge and experience in statistical and machine‑learning methods.
• Excellent written and oral communication skills with the ability to present complex results clearly to both specialist and non‑specialist audiences.

Roche is an Equal Opportunity Employer. Every role at Roche plays a part in making a difference in patients’ lives. We are committed to scientific rigor, ethical conduct, and universal access to medical innovations.