Senior ML Scientist – Multimodal Drug Discovery

Roche; South San Francisco (CA); Vor Ort; USD 148.000 - 320.000; Vollzeit

Benefits dieser Stelle

Discretionary annual bonus

Genentech benefits

Zusammenfassung

Genentech, a Roche subsidiary, is seeking a Senior/Principal Machine Learning Scientist to join the Perturbation Biology group in the AI for Biology & Translation department. You will develop next-generation ML models to extract actionable insights from large-scale perturbation experiments for target and drug discovery.

The role requires deep ML expertise in sequencing-based perturbation data, collaboration across interdisciplinary teams, and a track record of high-impact research with

Qualifikationen

• Educational background: PhD in a quantitative field with strong quantitative focus
• Soft skills: excellent communication, collaboration and problem solving
• Publications: strong publication record in ML venues and related communities

Aufgaben

• Design and apply predictive machine learning algorithms for perturbation screens to identify targets and drugs
• Integrate data modalities including molecular structures, omics data, images, and text
• Collaborate with biologists, chemists, data scientists and stakeholders
• Build and scale ML techniques for massive datasets and deploy novel algorithms
• Publish results in top ML venues and scientific journals; present at conferences and workshops

Kenntnisse

Machine learning

Collaborative work

Communication skills

Publications in ML venues

Ausbildung

PhD in Computer Science/Statistics/Mathematics

Jobbeschreibung

Genentech, a Roche subsidiary, is seeking a Senior/Principal Machine Learning Scientist to join the Perturbation Biology group in the AI for Biology & Translation department. You will develop next-generation ML models to extract actionable insights from large-scale perturbation experiments for target and drug discovery.

The role requires deep ML expertise in sequencing-based perturbation data, collaboration across interdisciplinary teams, and a track record of high-impact research with