Lead Scientist – Large Molecules

🔥 4 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

✨ Scientist

👻 Ghost score 18%

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

• Define the scientific workflow, evaluation strategy, and benchmarking approach for large molecule programs, including antibody-antigen co-folding, binder prediction, and antibody developability • Use Apheris's product as a hands-on user and define user requirements for large molecule workflows • Drive adoption of large molecule models with pharma partners and support them in applying models to relevant programs and use cases • Translate scientific and biological requirements from pharma partners into concrete inputs for the ML/engineering team • Review model outputs and evaluation results against structural biology and antibody engineering knowledge • Represent Apheris's scientific perspective in partner conversations across large molecule networks • Stay current on the large molecule AI/ML landscape, including OpenFold, AlphaFold, Boltz, ESM, and antibody design/developability literature • Work with product, ML, and engineering teams to ensure scientific requirements shape the roadmap

🎯 Requirements

• You have a PhD, MSc, or equivalent experience, plus 5+ years in structural biology, antibody engineering, immunology, protein engineering, or a related biologics discipline • Real hands-on experience in antibody design, developability, or binder discovery • Some exposure to applying AI/ML to biological problems • Understand AI/ML models well enough to contribute to a modeling workflow and judge whether outputs make sense • Comfortable partnering closely with ML/engineering teams and translating between biological reasoning and technical implementation • Clear communication across scientific and technical audiences and with pharma partner stakeholders • Familiarity with OpenFold, AlphaFold, Boltz, or similar structure prediction tools (nice to have) • Experience with antibody developability assays, immunogenicity, or biologics manufacturability (nice to have) • Experience working directly with pharma partners or in a consortium/collaborative research setting (nice to have) • Publication record in structural biology, immunology, or antibody engineering venues (nice to have)

🏖️ Benefits

• Competitive compensation with early-stage virtual share options • Remote-first, with flexibility on work location • Wellbeing support: mental health resources, work-from-home budget, co-working stipend, learning budget • Generous holiday allowance • Optional office days at Berlin HQ or another European location (roughly 3x a year)