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.AI Program Manager – Drug Discovery Networks(m/w/x)
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – is a plus
Tools & Technologies
- molecular machine learning
- drug discovery workflows
Benefits
Competitive Pay
- Industry-competitive compensation
- Early-stage virtual share options
Flexible Working
- Remote-first working
Additional Allowances
- Wellbeing budget
- Work-from-home budget
- Co-working stipend
Mental Health Support
- Mental health support
Learning & Development
- Learning budget
More Vacation Days
- Generous holiday allowance
Team Events
- Office Days at Berlin HQ or European location (3x per year)
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.AI Program Manager – Drug Discovery Networks(m/w/x)
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – is a plus
Tools & Technologies
- molecular machine learning
- drug discovery workflows
Benefits
Competitive Pay
- Industry-competitive compensation
- Early-stage virtual share options
Flexible Working
- Remote-first working
Additional Allowances
- Wellbeing budget
- Work-from-home budget
- Co-working stipend
Mental Health Support
- Mental health support
Learning & Development
- Learning budget
More Vacation Days
- Generous holiday allowance
Team Events
- Office Days at Berlin HQ or European location (3x per year)
About the Company
Apheris
Industry
Pharmaceuticals
Description
Apheris builds AI applications for pharmaceutical R&D, enabling secure collaboration on large AI models to accelerate drug discovery.
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