Your career compass awaits
Create a free account to unlock
- ✓ See how you match this role
- ✓ AI resume tailored to this specific job
- ✓ Inside Track Companion — find your insider contact
- ✓ Skills gap analysis and upskill plan
- ✓ Interview prep kit for this role
- ✓ Relocation concierge — salary, tax, cost of living
Free — no credit card required
AI Scientist/Senior, Clinical & Molecular Genomics Modeling, BRAID
Science Technology
💰 Salary 10,625 CHF–19,742 CHF/mo (127,500 CHF–236,900 CHF/yr)
📊 Market 10,000 CHF–15,000 CHF/mo (120,000 CHF–180,000 CHF/yr)
About the Company
A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche. Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
About the Role
AI Biology & Translation (AIBT) builds AI foundation models and agents for disease biology, target discovery, and translational research at Genentech. The AI for Clinical Translation group within AIBT is hiring a Scientist or Senior Scientist to build models that improve the design of our next trials. We connect molecular data to clinical outcomes in order to understand specific patient populations' treatment responses, identify biomarkers of disease progression, treatment, and resolution, as well as leverage our clinical data to inform target discovery and prioritization. You will build new models from scratch on multimodal omics datasets with accompanying clinical metadata, working across disease areas to apply them where they will have the largest impact. Your team will be computational and AI scientists as well as collaborators from research, translational, and clinical teams. In this role, you will: Build and Scale New AI Models: Develop innovative models to enhance insights from outcome data and design interpretable ML frameworks and scale them on massive datasets. Connect Molecular and Clinical Data: Create models that link heterogeneous molecular and cellular data with clinical outcomes, specifically focusing on prognostic, predictive, and pharmacodynamic biomarkers. Design models with the applications in mind: Work within a cross functional team to understand use cases, design models to fit those needs, and guide their application. Master the Data:
Requirements
- ● For an AI Scientist
- ● AI/ML Expertise: Proven experience building machine learning and AI models from scratch.
- ● Biological Data Proficiency: Hands-on experience working with "messy" genomics data (e.g., aggregating dozens or hundreds of studies) and/or clinical datasets.
- ● Modern Engineering: Ability to effectively use agentic coding tools to improve the quality and quantity of code and modeling outputs.
- ● For a Senior AI Scientist
- ● AI/ML Expertise: Proven experience building machine learning and AI models from scratch. Expertise within an area of modern machine learning research, such as graph/diffusion/transformer models, reinforcement learning, or multimodal representation learning.
- ● Biological Data Proficiency: Hands-on experience working with "messy" genomics data (e.g., aggregating dozens or hundreds of studies) and/or clinical datasets.
- ● Modern Engineering: Ability to effectively use agentic coding tools to improve the quality and quantity of code and modeling outputs.
- ● Relocation benefits are NOT available for this job posting.
- ● The expected salary range for this position, based on the location of California, for the AI Scientist is 127,500 - 236,900, and for the Senior AI Scientist is 147,800 - 274,400. 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
- ● ComputationCoE
- ● tech4lifeComputationalScience
- ● 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.
- ● If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants .
Confirm Application
Are you applying to ?
We'll track this in your dashboard as Applied.
Saving to your tracker…
Stand out: message someone at Roche.
A short, personal note to a recruiter can get your application looked at sooner.
⚡ Full Resume Sandbox Canvas