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AI Program Lead

Apheris


Job Location:

Berlin - Germany

Monthly Salary: Not provided by the employer
Posted: 29 September 2026 (4 days ago)
Application Deadline: 27 December 2026
Vacancies: 1 Vacancy

Job Summary

About Apheris
Apheris hosts the industrys largest federated data networks for drug discovery AI spanning co-folding ADMET and antibody developability.

Leading pharma companies train higher-performing models on this data without ever exposing it and we deliver those models through Apheris Foundry our drug discovery platform.
About the role
Were building out the team that turns our networks into models pharma teams actually use. Youll scope and stand up new networks run execution end to end with partners like the worlds top pharma companies and get Apheris Foundry embedded into their live drug discovery programs not just evaluated actually used.

This is a high-ownership high-visibility seat. Youll be the person top pharma scientists call when something needs to move and the person who turns a network from concept to models running in production. Our networks are scaling fast and the work is only getting bigger from here.
About you
You know molecular ML and drug discovery workflows well enough to hold your own with computational chemists DMPK scientists and structural biologists. You get concrete fast even under pressure and youd rather show a plan than describe one.

Youve run complex multi-party programs before and you know the difference between managing a process and actually owning an outcome.

Were looking for someone with 3 years in scientific or technical program management alliance management or customer-facing delivery of scientific software who wants real ownership over how our networks and our platform land with some of the biggest names in pharma.
What we offer you
Competitive compensation with early-stage virtual share options a remote-first setup with real flexibility on where you work and genuine investment in your wellbeing: mental health support a work-from-home and co-working budget a learning budget and generous holiday. We bring the team together three times a year in Berlin and elsewhere in Europe.

Required Experience:

Senior IC


About Company

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Build ML-powered products using data that spans organizational or geographical boundaries, while ensuring compliance with regulation.

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