Technical Program Director, London

September 4

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Isomorphic Labs

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We are reimagining the entire drug discovery process from first principles with an AI-first approach.

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Description

• Reporting to the CTO, you will work in close collaboration with all of the Research, Product and Engineering Leads to act as a thought partner and guide the overall work of the sub-teams and organise various programs and activities to ensure successful technical programme delivery. • You’ll be translating Isomorphic Labs company goals into concrete plans and driving these programs within project budgets, timelines, and other success criteria, and ensuring that each of the functional areas are aligned. • You will manage a small team of Technical Program Managers whilst supporting output and building a set of tools and best practices for technical program management across the organisation. • Overall leadership and responsibility for technical program management and project planning and delivery across the technology and AI research organisations spanning Machine Learning, Engineering, Product, Computational Biology, and others, using your extensive knowledge of program and project management standard methodologies, including Agile/Scrum and PMBOK-style project management. • Collaborate with Drug Design and Operations teams to align program and project goals, ensuring they support the organization's mission and deliver impactful results. • Collaborate with research and engineering teams to ensure timely, budget-friendly, and high-quality delivery of technology and AI programs and projects. • Develop and maintain a comprehensive risk management strategy across the portfolio, covering timely attention to risks, issues, and action plans. • Continuously assess programs based on success metrics and communicate important progress indicators to the company executive team and other collaborators. • Launch and oversee a PMO, setting up processes and standards for project management across the organisation. • Collaborate, strategize, and provide project visibility to the CTO and CAIO, optimising their time and fostering organization within the Technology Leadership Team. • Represent the point of view of the CTO and CAIO in relevant projects and work streams across the company. • Facilitate the flow of information and collaboration between external collaborators, acting as the strategic bridge across Alphabet, Google, Google DeepMind, and academic and commercial vendors and collaborators. • You will continue to develop and empower the team of Technical Program Managers and anticipate future resource needs in line with business goals and priorities.

Requirements

• Strong stakeholder management across different groups and levels, and experience managing a successful high performing team. • Depth of knowledge and experience in utilising coaching techniques to support individuals from diverse backgrounds in a dynamic environment. • Experience leading teams of Technical Program Managers. • Extensive project and program management expertise within a technology and computational research landscape with ability to navigate ambiguity and adapt plans/strategies as project conditions change. • Proven track record in effectively managing complex research and engineering programs, following a well-established set of success criteria and consistently applying standard methodologies in project management. • Experience collaborating with various collaborators in a complex technical environment, considering multiple time horizons. • Experience managing program budgets of tens to hundreds $M. • Clear and precise communication in a scientific environment, providing detailed information and data support to collaborators within the organization. • Show a proactive attitude in seeking knowledge to improve your impact. Display curiosity and a dedication to learning and understanding various aspects of the organization. • Experience in performing a similar role in a start-up - or other high growth organisation. • Experience leading Machine Learning research programs. • Experience leading programs within the drug discovery, life sciences, healthcare, or biotech domains. • Familiarity with a wide variety of modern project management software packages. • Experience running a PMO. • Degree or equivalent experience in Computer Science, Engineering, Mathematics, Statistics, Computational Biology, related fields, or practical experience. • Familiarity with technical concepts in machine learning, distributed systems, cloud computing, computational infrastructure, and data engineering is an asset, but not required. • PMP, PgMP or other professional certifications in project management.