Summary

The VP of Computational Biology and Translation for gRED Computational Sciences (gCS) will establish, nourish and build a department consisting of groups focused on the development and application of computational approaches for addressing critical scientific questions in biology, chemistry and the clinical sciences. The questions will be determined in conjunction with outstanding experimental groups working across gRED from pre-clinical research, development and early clinical trials. As a member of the gRED Computational Sciences Leadership Team (gCS LT), this leader will establish, nourish and build strong links between teams of world-class computational scientists focused in two broad areas: i) Methods Development and ii) Applications. In the former case, groups will develop Methods and tools to enable the analysis of data generated by specific technologies (e.g., single-cell genomics or cutting-edge imaging technologies) or to address specific scientific questions (e.g., novel computational approaches for causal inference or classification of features in images). In the latter case, this VP will oversee teams of computational scientists (across both early research and in development) that are tightly connected with different Therapeutic Areas. These groups typically focus on a particular biological system, acquiring deep understanding of that area, and work intimately with teams of experimental scientists to apply computational methods to answer specific and targeted scientific questions. In addition to actively contributing to and influencing the direction of the department, this VP will also be expected to establish and maintain their own group. The VP of Computational Biology and Translation will help to shape the direction of gCS and its role within the broader gRED, Genentech and global Roche ecosystem.

Key Accountabilities

• Directly accountable for short and long term impact of a department focused on development and application of computational methods for enabling Research Biology and Translational Medicine activities across gRED

• Support and implement a robust and inclusive recruitment strategy to attract and provide suitable scientific and career development mentorship for outstanding talent at all levels- from group leaders through to early-stage career researchers

• Work across the gCS organisation and across gRED to enable the seamless integration of computational scientists into molecule and clinical teams

• Building strong links with experimental stakeholders and driving the ‘lab-in-the-loop’ model of scientific research

• Foster key partnerships between groups focused on Methods Development and those focused on Applications in specific Therapeutic Areas

• Drive partnerships between your department and all other parts of gRED Computational Sciences

• As a key member of the gCS LT; help establish the culture and working environment of this new organisation

• Ensuring that the department is visible across Genentech, Roche and internationally via both internal and external communications, including publication of high-impact scientific publications and participation in international conferences

• Actively foster an inclusive and diverse departmental culture and support the overarching gRED Diversity & Inclusion strategy

Job Requirements

• A PhD and deep expertise in a relevant scientific discipline and 10+ years experience managing a world-class group, focused on the development and application of computational approaches to problems in the biological or chemical sciences, in either industry or academia

• Recognition as a world-leading scientist in your area of work, as evidenced via membership of internal and external review committees, an outstanding publication record and participation, as a keynote/invited speaker, in international meetings or conferences with a global audience base

• Membership of relevant national / international scientific bodies

• A track record of developing early / mid-career scientists, who have gone on to achieve independent success

• Demonstrated leadership skills

• A track record of building and maintaining successful links within and between institutions

• Outstanding oral and written communication skills

• Evidence of the ability to establish and foster key partnerships with collaborators from other scientific disciplines to ensure the robust application of computational methods to specific biological questions Experience of working in an interdisciplinary research environment

• Experience of managing large and complex projects, and teams, involving multiple stakeholders and achieving results in a timely and efficient manner

Relocation benefits are available for this job posting.

The expected salary range for this position based on the primary location of California is $294,000 - $546,000 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

#gCS

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