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Director of ML Research – AI Applications - Remote

Posted Yesterday
Software Development
Full Time
Worldwide

Overview

The Director of ML Research will lead a new team focused on applying machine learning in pharmaceutical R&D, particularly in structural biology and drug discovery.

In Short

  • Establish and lead the ML Research team within AI Applications.
  • Focus on applied research for drug discovery challenges.
  • Mentor and build a high-performing team.
  • Collaborate with academic partners and internal teams.
  • Translate scientific literature into practical modeling approaches.
  • Integrate research outputs into production workflows.
  • Present findings at conferences and to customers.
  • Work on model development for co-folding and ADMET initiatives.
  • Utilize large-scale proprietary datasets.
  • Drive cross-functional delivery across multiple teams.

Requirements

  • Postgraduate degree (PhD or MSc) in relevant fields.
  • 7+ years of experience in machine learning.
  • 3+ years in a technical leadership role.
  • Experience in structural biology and drug discovery.
  • Publication record in top-tier ML venues.
  • Hands-on experience with Python and PyTorch.
  • Ability to operate in cross-functional environments.
  • Strong communication skills.
  • Experience with ML systems and model training.
  • Familiarity with Kubernetes and cloud platforms is a plus.

Benefits

  • Industry-competitive compensation, including share options.
  • Remote-first working policy.
  • Wellbeing and work-from-home budgets.
  • Generous holiday allowance.
  • Office Days at Berlin HQ or other locations.
  • Access to a high-caliber team.
Apheris logo

Apheris

Apheris AI is a pioneering company that specializes in federated life sciences data networks, tackling the significant challenge of accessing proprietary data that is often locked in silos due to intellectual property and privacy concerns. The company recognizes that publicly available datasets are inadequate for training high-quality machine learning models that meet industry standards. To address this, Apheris AI enables life sciences organizations to collaboratively train superior models using complementary data from multiple parties. The company is currently focusing on two key areas: structural biology and ADMET, and is committed to using AI and machine learning for positive impact.

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