TL;DR

Head, Innovation Accelerator Data Science (Data Science): Driving technical excellence across design, data, and data science innovation programs for Roche Product Development with an accent on guiding architectural decisions, aligning technical capacity with strategic goals, and ensuring strong technical execution. Focus on exploring, prototyping, and productizing solutions, managing multidisciplinary technical teams, and integrating new technologies like GenAI and ML Ops.

Location: Based in California, USA. Relocation benefits are not available.

Salary: $254,400–$472,400

Company

%hirify_global%, a member of the Roche group, is a biotechnology pioneer dedicated to discovering and developing medicines for serious and life-threatening diseases.

What you will do

Provide technical leadership across innovation projects, ensuring alignment with departmental goals.
Act as a subject matter expert for applied data science and software engineering within the innovation portfolio.
Make architectural decisions, ensuring best practices for scalability, performance, reliability, and compliance.
Oversee execution quality, technical risk management, and project velocity across multiple high-impact workstreams.
Manage a multidisciplinary team of specialists and junior leaders, overseeing hiring, onboarding, and development.
Drive the Innovation Accelerator portfolio through governance, resource planning, and progress reviews.

Requirements

Advanced degree (Master’s or PhD) in Computer Science, Data Science, Statistics, Engineering, or a related technical field.
15+ years of hands-on experience in software engineering, data science, or technical innovation.
4+ years in a leadership role managing multidisciplinary technical teams.
Deep expertise in modern data and software development technologies and architectural practices.
Proficiency with Python or R, and ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
Strong understanding of supervised/unsupervised learning, statistical modeling, and experimental design.
English: B2 required
Work authorization for the USA is required.

Nice to have

Experience in pharma, life sciences, or healthtech sectors.
Familiarity with regulated environments and compliance-driven product development.
Exposure to innovation frameworks (e.g., lean startup, dual-track agile).
Ability to assess and integrate emerging technologies (e.g., GenAI, ML Ops, cloud platforms).

Culture & Benefits

Fosters a high-performance, inclusive culture focused on collaboration and continuous improvement.
Opportunity to coach and mentor team members, enhancing individual performance and long-term potential.
Work for a company with a strong track record of R&D investment and FDA-approved medicines.
Part of a team dedicated to advancing science for a healthier future.