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AI Program Manager – Drug Discovery Networks - Remote

Posted Yesterday
Project Management
Full Time
Worldwide

Overview

Apheris is focused on revolutionizing how AI is utilized in pharmaceutical R&D, enabling faster drug discovery through federated data networks.

In Short

  • Drive execution and growth across federated networks.
  • Manage complex, multi-party initiatives in drug discovery.
  • Translate network goals into concrete execution plans.
  • Work closely with business development and ML scientists.
  • Engage with partners to drive adoption of federated models.
  • Build and scale new federated networks based on market demand.
  • Lead discussions on model performance and deployment.
  • Track model usage and identify expansion opportunities.
  • Foster trusted relationships with partners to ensure progress.
  • Contribute to the evolution of Apheris networks.

Requirements

  • 5+ years of experience in scientific or technical program management.
  • Strong product mindset and ability to build initiatives.
  • Exceptional communication skills in English.
  • Experience with senior scientific stakeholders in pharma.
  • Proven ability to manage complex enterprise environments.
  • High degree of ownership and reliability.
  • Ability to quickly master unfamiliar domains.
  • Strong judgment on prioritization and escalation.
  • Experience with molecular machine learning is a plus.
  • Experience in consortium or multi-party settings is advantageous.

Benefits

  • Industry-competitive compensation with virtual share options.
  • Remote-first working environment.
  • Wellbeing budget and mental health support.
  • Generous holiday allowance.
  • Office days at Berlin HQ or other European locations.
  • Access to a high-caliber, execution-focused 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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