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Director of FEP Drug Discovery

Aspire Life Sciences Search
London
9 months ago
Applications closed

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Director of FEP Drug Discovery

Full-time, permanent / Onsite


I am partnered with a leading biotechnology company that is rapidly advancing the drug discovery pipeline. This company’s mission is to design innovative drug candidates faster, for a range of critical diseases using cutting-edge technology that combines physics, statistics, and AI.

About the team


As a director of FEP Drug Discovery you will manage a team of four people dedicated to free energy calculations. This role requires a broad background enabling you to develop free energy methods, mentor and expand the existing team, and oversee projects from early stages to pre-clinical phases. Additionally, the ideal candidate may represent the team externally, engaging with major pharmaceutical companies and other key stakeholders. You will work closely with a multidisciplinary team including machine learning engineers, project managers, medicinal chemists, and physicists, all focused on scalable and reproducible drug discovery using advanced machine learning algorithms.


Responsibilities

Your role encompasses three main missions:

1. Developing and Representing Technical Expertise in Free Energy Methods

2. Implement a Scientific and In-depth Methodology

3. Set the Team for Success


Experience

• 10+ years of experience, with significant focus on Free Energy methods.

• In-depth knowledge of atomistic simulations, physical-chemistry and statistical mechanics.

• Experience managing PhDs and postdocs. Must be capable of overseeing a team of 6 to 10 people.

• Ability to deliver value for short and long term endeavours.

• Ability to provide clear direction in an uncertain environment.

• Can-do attitude, solution finder mindset.

• Strong communicator, able to engage and motivate team members and stakeholders, internally and externally.

• Thrive on working collaboratively in a fast-paced, interdisciplinary environment that keeps everyone on track. Put collective wins over individual wins.

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