Head of Innovation Accelerator Data Science SF, CA

Head of Innovation Accelerator Data Science SF, CA

is responsible for driving technical excellence across design, data and data science innovation programs for Roche Product Development. This role combines deep subject matter expertise in data science and software development with people leadership and portfolio oversight. The Head of IA Data Science ensures strong technical execution, guides architectural decisions, and aligns technical capacity with strategic goals. As a direct report to the Function Head, this position plays a critical role in shaping the innovation roadmap, scaling capabilities, and growing high-performing technical teams.

You provide technical leadership across early exploration and productization phases of innovation projects, ensuring alignment with departmental goals and enterprise direction

You act as subject matter expert and single point of escalation/problem resolution for applied data science and software engineering within the innovation portfolio

You influence PDD data, design and data science (3D) strategy and in-silico strategy & roadmap(s) through strategic technical leadership/expertise

You make architectural decisions independently and ensure adherence to best practices for scalability, performance, reliability, and compliance

You oversee execution quality, technical risk management, and project velocity across multiple high-impact workstreams and domains

You establish and enforce technical standards, enabling reuse, modularity, and robust design across solution development

You lead technical capacity planning and resource deployment within the team, prioritizing based on departmental strategy and portfolio needs

You collaborate with cross-functional and enterprise partners to translate innovation opportunities into feasible, impactful, and technically sound solutions

You drive the Innovation Accelerator portfolio through contribution to governance, resource planning, and progress reviews

You identify and integrate new technologies and platforms, applying functional expertise and organizational context to maximize department performance

You ensure traceability, reproducibility, and risk mitigation through robust documentation and engineering practices across all technical deliveries

You manage a multidisciplinary team of specialists and junior leaders (e.g., data scientists, software engineers), ensuring accountability for delivery, performance, and development

You oversee hiring, onboarding, workforce planning, and succession management aligned to departmental capabilities and strategic growth areas

You coach and mentor team members to enhance their individual performance and long-term potential, developing future technical leaders across roles and backgrounds

You foster a high-performance, inclusive culture focused on collaboration, ownership, and continuous improvement

You set development goals, conduct performance evaluations, and guide career progression based on business priorities and professional aspirations

You manage team deployment and resource allocation across a complex portfolio of innovation projects, balancing individual growth with business needs

You execute short-term department plans by managing priorities, budget, and capacity in coordination with function leadership

You influence senior stakeholders and functional leadership to secure alignment, resources, and sponsorship for technical priorities

Who you are:

You have an advanced degree (Masters or PhD) in Computer Science, Data Science, Statistics, Engineering, or a related technical field

You have 15+ years of hands-on experience in software engineering, data science, or technical innovation, ideally within R&D or regulated environments

You have 4+ years in a leadership role managing multidisciplinary technical teams

You have proven experience driving technology delivery from prototyping to scaled implementation

You have deep expertise in modern data and software development technologies and architectural practices

You are proficient with Python or R, and ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch

You have a strong understanding of supervised/unsupervised learning, statistical modeling, and experimental design

You are familiar with software development practices including version control, testing, and collaborative coding

You have experience running simulations or analyses in a high-performing computing environment

You have knowledge of and experience with four or more of the following:

Epidemiology, including causal inference methods for observational real world data (RWD) or real world evidence (RWE)

Bayesian statistics

Decision theory, including multiple criteria decision analysis (MCDA), utility elicitation, decision simulation models, or Value of Information

Clinical outcomes research using data from electronic health records (EHR)

Discovery mechanisms and evidence generation pathways for novel biomarkers and risk scores

Interpretable machine learning

Methods to incorporate knowledge graphs, ontologies, or other forms of structured information

Probabilistic programming languages

Complex or innovative clinical trial designs, including adaptive stopping, seamless Phase 2/Phase 3 designs

You have a strong track record in managing resources, planning capacity, and balancing competing priorities

You have excellent communication and stakeholder management skills

You are fluent in agile delivery, DevOps, or other modern ways of working

You have a passion for continuous learning

You have a passion for mentoring colleagues of all backgrounds

You have capacity for independent thinking and ability to make decisions based upon sound principles

You exhibit excellent strategic agility including problem-solving and critical thinking skills, and agility that extends beyond technical domain

You demonstrate respect for cultural differences when interacting with colleagues in the global workplace

You possess excellent verbal and written communication skills, specifically in the areas of presentation and writing, with the ability to explain complex technical concepts in clear language

Preferred:

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)

Demonstrated ability to assess and integrate emerging technologies (e.g., GenAI, ML Ops, cloud platforms)

Relocation benefits are not available for this posting

The expected salary range for this position based on the primary location of California is $254,400-$472,400. 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.