Head of Engineering

Head of Engineering  · San Francisco  ·  Full time

Head of Engineering 

Using AI Atomwise is revolutionizing how drugs are discovered. The Company invented the use of deep learning for structure-based drug discovery and is developing a pipeline of small-molecule drug candidates. The AtomNet® technology has been used to unlock more undruggable targets than any other AI drug discovery platform. Atomwise is tackling over 600 unique disease targets across 775 collaborations spanning more than 250 partners around the world. The Atomwise portfolio of joint ventures and partnerships with leading pharmaceutical, agrochemical, and emerging biotechnology companies represents a collective deal value approaching $7 billion.

To date, Atomwise has raised over $174 million from leading venture capital firms to advance its mission to make better medicines, faster.

Atomwise is looking for an exceptional Head of Engineering to help envision, design, and build the engineering foundations on which its drug-discovery AI expertises are built.

Key Responsibilities:

As a Head of Engineering, you will:

• Lead and grow the Engineering team, including guiding the Engineering process and fostering an open-minded and collaborative culture.
• Build and lead a Product Management team to drive our software projects’ definition by working closely with leadership and scientific stakeholders.
• Coordinate closely with Cheminformaticinas, Machine-Learning, and medicinal-chemistry teams to integrate engineering best-practices into the delivery of internally-developed scientific tools for next-generation Drug Discovery.
• Understand and collaborate on the complete product lifecycle from concept to execution.
• Develop and manage engineering processes, schedules and communicate project status.
• Oversee the development of our data platforms, which facilitate data flow between our drug-discovery projects and our ML Discovery Engine. Enable data recording, predictions, decisions, and outcomes to facilitate continuous performance evaluations and data-driven decisions.
• Set strategy and present recommendations with clarity and concision to stakeholders, having varying degrees of engineering literacy.
• Monitor, maintain, and optimize budgets to meet engineering goals while accommodating production constraints.
• Coach the engineering team and help set and foster challenging, exciting, and rewarding career development plans in the team.
• Continue to improve an effective hybrid local-remote work environment that supports diversity, equity, and inclusion within the expanding team.

Required Qualifications:

• 15+ years experience leading a 30+ person engineering team, covering significant infrastructure and data components.
• 10+ years of experience leading a product management team.
• Experience working with cross-disciplinary teams outside of engineering/product, such as scientific or design.
• Experience in building data platforms that enable efficient data flow at scale between multidisciplinary teams of scientists.
• Experience in building data architectures and providing strategic insight and decision support.
• Strong presentation skills to both business and technical audiences.
• High-level, written and verbal communication skills.

Please click here to apply.