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APApheris

Senior Director, Computational Drug Discovery(m/w/x)

Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science

Leading scientific direction for AI applications in pharmaceutical R&D, guiding model evolution for pharma teams. 8+ years post-PhD industry experience in AI-driven drug research, with deep expertise in structure-based and ligand-based design, required. Meaningful early-stage virtual share options, generous holiday allowance.

Requirements

  • PhD in computational chemistry, cheminformatics, computational drug discovery, or closely related field
  • 8+ years of post-PhD industry experience in computational drug discovery or computational chemistry
  • Deep practical expertise in structure-based and ligand-based design, ADMET modeling, and integration of experimental and biophysical data
  • Exceptional understanding of modern ML approaches in drug discovery
  • Strong scientific credibility demonstrated through prior roles at leading pharma or top-tier biotech
  • Demonstrated experience leading and mentoring computational drug discovery teams
  • Comfortable operating hands-on in a fast-moving, venture-backed, remote-first environment
  • Clear motivation to enable customer drug discovery programs
  • Background as an application scientist at a leading computational chemistry or drug discovery software provider
  • Experience leading computational drug discovery teams at a TechBio or advanced biotech
  • Prior exposure to federated, multi-partner data collaborations
  • Experience shaping product direction for scientific software platforms

Tasks

  • Own scientific direction across modalities, data, and workflows
  • Define prioritized drug discovery problems, modalities, and data types
  • Guide the evolution of applications and models for pharma teams
  • Balance scientific ambition with practicality in customer environments
  • Build and lead a high-impact computational drug discovery team
  • Lead an established core team of experts in drug discovery
  • Hire and integrate 1–2 additional team members as demand scales
  • Set clear scientific direction and execution standards for programs
  • Engage with computational drug discovery scientists at pharmaceutical companies
  • Lead scientific discussions on program strategy and model applications
  • Provide authoritative guidance based on real-world drug discovery experience
  • Build trust through publications, talks, and community engagement
  • Strengthen Apheris’ reputation in computational drug discovery
  • Provide actionable scientific direction to application scientists and customer teams
  • Ensure recommendations reflect practical discovery program operations
  • Review and challenge analyses, models, and conclusions for scientific integrity
  • Translate customer needs into product and model requirements
  • Shape prioritization decisions based on customer impact and discovery realities
  • Act as a scientific bridge between customers and internal development teams

Work Experience

  • 7 - 10 years

Education

  • Doctoral / PhD

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • computational chemistry
  • ADMET
  • drug discovery
  • ML
  • TechBio

Benefits

Competitive Pay

  • Competitive compensation
  • Meaningful early-stage virtual share options

More Vacation Days

  • Generous holiday allowance

Additional Allowances

  • Wellbeing budget
  • Work-from-home budget
  • Co-working stipend

Mental Health Support

  • Mental health benefits

Learning & Development

  • Learning and development budget
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