Apheris
Senior ML Researcher – Molecular Privacy(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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APApheris
.AI Program Manager – Drug Discovery Networks(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
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)
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Apheris and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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APApheris
.AI Program Manager – Drug Discovery Networks(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
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)
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Apheris and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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.
Not a perfect match?
- Apheris
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