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APApheris

.AI Program Manager – Drug Discovery Networks(m/w/x)

Berlin
Vollzeitmit HomeofficeSenior
AI/ML

Building federated AI networks for pharmaceutical R&D, scoping opportunities, and validating concepts with partners. 5+ years program management or consulting experience required. Remote-first, wellbeing budget, early-stage share options.

Anforderungen

  • 5+ years scientific/technical program management, consulting, partnerships, or product execution
  • Exceptional learning velocity in unfamiliar domains
  • Experience with senior pharma/biotech scientific stakeholders
  • Strong product mindset for partner outcomes
  • Ability to build new initiatives and scale programs
  • High degree of ownership, speed, and reliability
  • Exceptional written and verbal English communication
  • Strong judgment on prioritization and escalation
  • Working knowledge of molecular ML/drug discovery workflows
  • In-depth scientific expertise in molecular ML/drug discovery
  • Experience in consortium/multi-party settings
  • Experience supporting technical product rollouts/integrations
  • Experience with senior biotech/pharma scientific stakeholders

Aufgaben

  • Build new federated networks
  • Scope new network opportunities based on market demand
  • Validate concepts with prospective partners
  • Identify potential partners for business development
  • Secure commitments from potential partners
  • Define initial scope, timelines, and partner contributions
  • Drive execution across Apheris networks
  • Work with pharma partners to turn data into models
  • Manage end-to-end federated network execution
  • Onboard and harmonize partner data
  • Aggregate models and deliver inference containers
  • Maintain a clear execution plan across partners
  • Shape network growth and direction
  • Expand network to new endpoints and modalities
  • Launch new network tracks and bring in pharma partners
  • Turn opportunities into initiatives and execution plans
  • Engage with partner teams daily
  • Collaborate with senior scientists and leaders
  • Lead sessions on model performance and deployment
  • Drive discussions to clear decisions
  • Build trusted relationships with partners
  • Identify areas to push or expand scope
  • Drive adoption of federated models
  • Deploy models into partner environments
  • Integrate models into existing workflows
  • Track model usage across the network
  • Identify opportunities to expand impact
  • Improve model delivery and consumption
  • Translate network goals into concrete execution
  • Prepare materials for scientific and commercial discussions
  • Shape follow-ups and convert roadmap priorities
  • Drive program progress across customers
  • Coordinate with business development, ML scientists, and product teams
  • Manage strategic accounts
  • Increase application usage
  • Ensure measurable impact in real workflows
  • Align priorities and resolve dependencies
  • Drive end-to-end execution

Berufserfahrung

  • 5 Jahre

Ausbildung

  • Bachelor-AbschlussODER
  • Master-Abschluss

Sprachen

  • Englischverhandlungssicher
  • Deutschist ein Plus

Tools & Technologien

  • molecular machine learning
  • drug discovery workflows

Benefits

Attraktive Vergütung

  • Industry-competitive compensation
  • Early-stage virtual share options

Flexibles Arbeiten

  • Remote-first working

Sonstige Zulagen

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

Mentale Gesundheitsförderung

  • Mental health support

Weiterbildungsangebote

  • Learning budget

Mehr Urlaubstage

  • Generous holiday allowance

Team Events & Ausflüge

  • Office Days at Berlin HQ or European location (3x per year)
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Apheris erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.

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