Head Of Data Excellence, Computational Catalysts

At Genentech Research & Early Development (gRED) we have initiated an exciting journey to bring together and further strengthen our computational talent and capabilities by forming a new, central organization - gRED Computational Sciences (gCS). gCS is on a mission to partner across the organization to realize the potential of Data, technology and computational approaches that will revolutionize how targets and therapeutics are discovered and developed, ultimately enabling novel treatments for patients across the world. We stand at the beginning of an exciting journey.
The Computational Catalysts group within gCS is a diverse, curious and action-driven team at the intersection of computation, engineering and science with ambition to advance our technical excellence. The focus of the team is on partnering with the informatics and scientific communities to create a computational and data ecosystem that powers scientific discovery and accelerates decision making. We aim to modernize our ability to acquire, store, link, share, find and analyze data across the organization through scalable and integrated solutions that truly make every data point count. Reporting directly to the VP, Computational Catalysts and as a member of the Computational Catalysts Leadership Team the Head of Data Excellence will play a key role in defining and executing on the strategy of this new group.
The Head of Data Excellence is a well-established and highly credible visionary, technical and people leader with the proven ability to deliver, form collaborative partnerships and foster an engaging team culture built on trust. You will be responsible and accountable for developing and implementing a strategy for data acquisition, collection, ingestion, and curation to ultimately ensure our data is FAIR by design. The data will span a variety of different modalities, including genomics assay, imaging modalities and other in vitro and in vivo lab data. You will be responsible for defining Data Excellence strategies across gCS for data planning and management including data curation, data standards, data models, and semantics as well as data sharing and reuse. You will be expected to drive technical innovation in order to improve our productivity and impact in this space. In addition to establishing and driving Data Excellence strategies, the position will also be attuned to distinct stakeholder needs to form strong interfaces with data generators both within gRED and external collaborators, including Clinical Research Organizations (CROs). Once ingested and stored, you will also be responsible for establishing and maintaining the interfaces that ensure the data can be effectively shared across all of gRED, including computational and experimental colleagues, as well as other partners in the Roche Group. Finally, the Head of Data Excellence will, in close collaboration with colleagues in Product Development (and pRED), establish automated processes to seamlessly link biomarker and clinical data and facilitate rapid integration of different data modalities. Enabling the above will embed a collaborative 'data as an asset' culture and mindset within gCS, across gRED and ultimately all of Roche. You will lead and have span of control over a local team of outstanding data curators, managers, analysts, and subject matter experts. You will make decisions related to talent, resourcing, technical roadmaps, business processes and solution and capability development and will be expected to make key contributions to the overall success of gCS.
Key Accountabilities:

• Strategic leadership of the Data Excellence pillar within gCS and a member of the Computational Catalysts LT
• Responsibility for hiring, promoting, retaining and developing our talent to unleash our people's potential and continuously look for opportunities for team members to broaden their knowledge, capabilities and skill sets to enable enhanced outcomes and impact
• Developing and implementing a robust, proactive and inclusive recruitment strategy to attract outstanding talent at all levels - from people managers through to early-stage career computational scientists
• Overall responsibility for technical domain excellence and ensuring our Data Excellence solutions and capabilities are innovative, best-in-class and integrated
• Embedding a collaborative 'data as an asset' culture and mindset and establishing world-leading approaches, processes and systems for all aspects of end-to-end data management
• Defining and implementing common policies for data access and sharing that minimizes manual intervention & reduces boundaries for sharing of Data in order to enable scientific breakthroughs
• Driving technical innovation including cutting-edge metadata schema and taking advantage of best in breed approaches that facilitate seamless integration of external and internal datasets
• Ensuring our data is FAIR including the safe, rapid and effective sharing and reuse of clinical and biomarker data
• Overseeing the delivery of large scale strategic initiatives and services that reflect the different user communities, while facilitating effective sharing of Data across the organization and taking advantage of common infrastructure, where possible.
• Contributing technical and business expertise within and external to gCS, including (but not limited to) cutting-edge data management approaches, emerging technologies & methodologies, automation and industry trends
• Implementing a successful sourcing strategy and resourcing model to ensure key priorities are staffed effectively with the appropriate talent and capabilities
• Establishing and fostering strong and trusted internal and external partnerships with leaders and stakeholders in Computational Catalysts, gCS and beyond
• Purposefully collaborating and influencing to support gCS to be at the forefront of our industry
• Leading by example to establish and demonstrate the culture and working environment of this new organization aligned with our gCS values: impact, collaboration, diversity, scientific excellence and curiosity

Job Requirements:

• Minimum BS degree; MS or PhD preferred in a scientific or technical field and 10+ years of experience including significant experience managing a group and experience forming a new team
• Deep experience and technical understanding of computational systems, infrastructure, data standards, metadata schema and data management / access solutions
• Experience leading large and complex projects, and teams, involving multiple stakeholders and achieving outstanding results in a timely and efficient manner
• Outstanding partnering and collaboration skills with ability to build trustful partnerships with internal and external stakeholder experts
• Deep expertise in how biomedical data are collected and managed
• Demonstrated ability to lead a team of experts from a range of disciplines, with an ability to quickly develop understanding of a given topic, to formulate the problem statement and to achieve a successful outcome
• Proven ability to foster an effective and collaborative team culture and working environment
• Thrives leading through ambiguity and is able to identify opportunities and bring clarity to team
• Strong track record of managing complex projects with effective use and deployment of resources
• Finesse navigating through difficult conversations/ decisions, especially those requiring alignment and negotiation across multiple stakeholders and functions or departments
• Exceptional analytical, evaluative and problem-solving skills combined with a strong orientation to deliver results
• Insight and an ability to develop solutions that satisfy both expert and non-expert data users
• Strong oral and written communication skills
• Consistently exhibits servant leadership and a passion for teamwork and collaboration
• Evidence of the ability to listen to and effectively engage with stakeholders in order and to implement effective, timely and rigorous solutions

Not sure you meet all qualifications? Let us decide! Research shows that women and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! We are committed to creating a diverse and inclusive environment and strongly encourage you to apply.
Relocation benefits are available for this job posting.
The expected salary range for this position based on the primary location of California is $204,300 - $379,500. 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
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