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People Lead - Remote

Posted Yesterday
Human Resources
Full Time
Worldwide

Overview

Apheris is seeking a People Lead to manage and evolve its people function, particularly for its engineering organization, focusing on strategic leadership and day-to-day execution of people processes.

In Short

  • Lead and enhance Apheris' people processes.
  • 6+ years of experience in HR or people roles.
  • Support growth from ~40 to ~100+ employees.
  • Focus on performance management and team dynamics.
  • Operate in a remote-first organization.
  • Hands-on individual contributor role.
  • Work closely with senior technical leaders.
  • Drive professional development and upskilling initiatives.
  • Ensure effective communication and collaboration.
  • Shape and strengthen Apheris' culture.

Requirements

  • 6+ years in people, HR, or organizational roles.
  • Experience in startups or scaleups.
  • Strong track record with senior technical leaders.
  • Deep understanding of performance management.
  • Comfort with remote-first challenges.
  • Excellent communication skills.
  • Fluent in English; German optional.

Benefits

  • Industry-competitive compensation.
  • Remote-first working environment.
  • Wellbeing and work-from-home budgets.
  • Generous holiday allowance.
  • Office days at Berlin HQ or other European locations.
  • Diverse team with mission-driven individuals.
  • High impact and ownership in shaping culture.
apheris AI logo

apheris AI

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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