AI Program Lead

🔥 0 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Apheris

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Apheris is a company that specializes in enabling secure and compliant data collaboration across distributed data environments, particularly for enterprises. The company's solutions empower organizations to engage in federated machine learning and analytics, facilitating the building of models without needing to move sensitive data, thus preserving privacy and security. Apheris focuses on providing technology that allows multi-party data ecosystems and partnerships, with a strong emphasis on compliance, particularly in regulated industries like pharmaceuticals and biotech. Their technology is trusted by major pharmaceutical companies to support AI-driven drug discovery initiatives without compromising proprietary data.

📋 Description

• Scope and stand up new federated data networks • Run execution end to end with major pharmaceutical company partners • Embed Apheris Foundry into live drug discovery programs • Turn networks from concept into models running in production • Drive how Apheris networks and platform are adopted by major pharma companies • Serve as a key point of contact for pharma scientists when execution needs to move forward

🎯 Requirements

• 3+ years of experience in scientific or technical program management, alliance management, or customer-facing delivery of scientific software • Strong knowledge of molecular ML and drug discovery workflows • Ability to work effectively with computational chemists, DMPK scientists, and structural biologists • Experience running complex, multi-party programs • Ability to own outcomes and execute under pressure

🏖️ Benefits

• Competitive compensation • Early-stage virtual share options • Remote-first setup with real flexibility on where you work • Mental health support • Work-from-home budget • Co-working budget • Learning budget • Generous holiday • Team gatherings three times a year in Berlin and elsewhere in Europe