(Senior) ML Researcher – Molecular Privacy
ApherisBrandenburg, Germany
Posted February 25, 2026
Full Time
About the Company
Apheris delivers enterprise-grade AI solutions that empower pharmaceutical companies to accelerate drug discovery while keeping all data on-premises. Their platform combines machine learning, deep learning, NLP, and data harmonization to generate predictive models that can be customized and securely run within a client’s IT environment. Apheris also pioneers federated data networks, enabling partners to collaboratively train and benchmark models on proprietary datasets without exposing sensitive IP, thereby enhancing model robustness and generalizability. By uniting advanced analytics with stringent governance, security, and privacy controls, Apheris offers a unique, end-to-end data ecosystem that preserves intellectual property sovereignty for life-science organizations.
Job Description
Apheris powers federated life sciences data networks, addressing the critical challenge of accessing proprietary data locked in silos due to IP and privacy concerns. We are seeking a Senior ML Researcher to take technical ownership of privacy risk assessment & mitigations within our federated modelling initiatives.
Requirements
- Deep hands-on experience building and modifying machine learning models in drug discovery, particularly structure-based modelling and co-folding, with exposure to adjacent areas such as ADMET.
- Hands-on experience with privacy for machine learning and/or federated learning, including reasoning about privacy risk, model behaviour, and governance in distributed or multi-party settings.
- Experience with designing empirical privacy experiments and drawing defensible conclusions from quantitative and qualitative evidence.
- Ability to communicate complex technical risks clearly and credibly to senior scientific, technical, and leadership stakeholders.
Benefits
- Industry-competitive compensation
- Remote-first working
- Great suite of benefits, including a wellbeing budget, mental health benefits, a work-from-home budget, a co-working stipend and a learning and development budget
- Regular team lunches and social events
- Generous holiday allowance
- Quarterly All Hands meet-up at our Berlin HQ or a different European location
