Innovation Accelerator Data Science Lead at Genentech

Tuusula, Uusimaa, Finland -

Full Time

Start Date

Immediate

Expiry Date

24 Dec, 25

Salary

363600.0

Posted On

25 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Software Engineering, Solution Development, People Leadership, Operational Execution, Capacity Planning, Delivery Tracking, Innovation Processes, Collaboration, Communication, Epidemiology, Bayesian Statistics, Clinical Outcomes Research, Machine Learning, Technical Resolution, Mentoring

Industry

Biotechnology Research

Description

The Position 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. This role is based in the Innovation Accelerator (IA) team, the innovation engine and connective tissue for Design, Data and Data Science innovation strategy within Product Development Data Sciences (PDD). We translate our long-term PDD vision into actionable strategy, shaping and prioritizing innovative cross-functional use cases that span PDD, PD, and Pharma. As both integrators and incubators, we explore, prototype, and help productize solutions to deliver impact in close partnership with internal Roche teams and external collaborators. With a mindset rooted in openness, value creation, and adaptability, we navigate the innovation ecosystem to drive transformative impact and future readiness across the organization. The Opportunity: The Innovation Accelerator Data Science Lead is responsible for developing and scaling high-performing technical teams across data science, software engineering, and solution development within IA. This role blends hands-on people leadership with delivery oversight, ensuring that the function’s technical capacity aligns with strategic goals and project demands. Positioned directly below the Head of IA Data Science, the Data Science Lead plays a critical role in capability building, performance coaching, and operational execution to support the delivery of impactful, innovative solutions across PDD. You collaborate with the IA Data Science Head and function leadership to operationalize the innovation roadmap and scale high-impact solutions You translate innovation priorities into team-level resourcing, planning, and development strategies You support delivery teams across the solution lifecycle, from early-stage prototyping through productization and integration You oversee consistent implementation of best practices in data science, software engineering, and solution delivery within assigned teams You drive continuous improvement of internal processes to increase team efficiency, quality, and cross-functional alignment You partner with program and product leads to ensure appropriate technical staffing, risk management, and delivery velocity You serve as escalation point for delivery issues and coordinate technical resolution in collaboration with the Technical Lead You ensure high standards for documentation, reproducibility, and compliance across teams You lead a team of technical specialists (e.g., data scientists, engineers) across multiple workstreams and capability areas You manage workforce planning, hiring, onboarding, and succession planning in alignment with Innovation Initiatives strategic priorities You set team goals and development plans, guide performance reviews, and support career progression You cultivate a collaborative, inclusive, and high-performing team culture with a focus on learning, ownership, and delivery excellence You mentor team members in technical depth, stakeholder engagement, and personal development You support team members in navigating cross-functional collaboration, technical challenges, and system-level integration You represent the team in forums with senior stakeholders and ensure alignment to department-wide priorities and operating models You collaborate with other leaders to ensure consistency, resourcing transparency, and shared team development practices Who you are: You have an advanced degree (Master’s or PhD) in Computer Science, Data Science, Statistics, Engineering, Biomedical Informatics, or a related field You have 12+ years of experience in project, study, or technical solution delivery across data science, software engineering, or digital product development You have 3+ years of experience in people leadership, including managing technical teams in matrixed or agile environments You have a proven track record of building, mentoring, and scaling high-performing technical teams You have strong operational and organizational skills, including capacity planning and delivery tracking You are familiar with innovation processes and prototyping-to-productization pipelines You have demonstrated ability to align team execution with strategic and cross-functional goals You have excellent communication, collaboration, and influencing skills across technical and non-technical audiences 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 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 regulated environments such as pharma, healthtech, or life sciences R&D Familiarity with cloud platforms, agile tooling, and collaborative development workflows Experience with AI/ML or data science enablement in clinical, scientific, or operational domains Knowledge of compliance-driven software development frameworks (e.g., QMS for SaMD, GxP) Track record of enabling innovation in complex, matrixed organizational structures Relocation benefits are not available for this posting The expected salary range for this position based on the primary location of Massachusetts is $195,800-$363,600. 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 #PDDT #PDDBoston 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.

Responsibilities

The Innovation Accelerator Data Science Lead is responsible for developing and scaling high-performing technical teams across data science, software engineering, and solution development. This role blends hands-on people leadership with delivery oversight to ensure alignment with strategic goals and project demands.