Apheris
Technical Lead - Structural Biology Networks(m/w/x)
Vollzeitmit HomeofficeSenior
Berlin
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
APApheris
Technical Lead – Large Molecule AI Systems(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Building federated large molecule AI systems for drug discovery, hands-on with antibody modeling and binder prediction. 5+ years applying ML to biological problems required. Early-stage virtual share options, wellbeing budget.
Anforderungen
- PhD, MSc, or equivalent experience in relevant field
- 5+ years applying ML to scientific/biological problems
- Experience in structural biology, antibody engineering, biologics discovery, developability prediction, binder prediction, or protein design
- Hands-on experience with modern ML systems in Python and PyTorch
- Worked with or extended large-scale models (OpenFold, AlphaFold, Boltz, ESM, or similar)
- MLOps or ML infrastructure experience
- Kubernetes-based training, evaluation, or deployment workflows
- Define success criteria and validate model quality
- Ensure ML releases are robust for real-world use
- Led delivery of complex ML projects
- Set technical direction for ML projects
- Managed risks and dependencies in ML projects
- Drove teams toward high-quality ML releases
- Player-coach role: mentoring engineers and ML scientists
- Contribute directly to modeling, experimentation, or architecture
- Work effectively with product, research, leadership, customers, and scientific stakeholders
- Turn ambiguous requirements into clear technical plans
- Experience with federated learning, privacy-preserving ML, or distributed training
- Experience in multi-party training environments
- Production-grade model delivery in regulated/enterprise environments
- Production-grade model delivery in pharmaceutical/biotech environments
- Production-grade model delivery in high-trust environments
- Publication record in top-tier ML venues
- Publication record in computational biology venues
- Publication record in structural biology venues
Aufgaben
- Lead teams in building and delivering federated large molecule AI systems
- Stay hands-on with antibody modeling, co-folding, binder prediction, and developability
- Build and implement ML applications for large biomolecular foundation models
- Ensure high-quality model releases ship on time against committed milestones
- Translate ambiguous scientific and technical goals into clear plans and priorities
- Guide evaluation decisions and deliver results packages to external stakeholders
- Surface risks, blockers, bugs, timeline changes, and technical trade-offs early
- Align consortium members on objectives, evaluation criteria, data requirements, and delivery expectations
- Work with product, engineering, research, and leadership to shape the model roadmap
Berufserfahrung
- 5 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- OpenFold
- AlphaFold
- Boltz
- ESM
- Kubernetes
- federated learning
- privacy-preserving ML
- distributed training
Benefits
Attraktive Vergütung
- Industry-competitive compensation
- Early-stage virtual share options
Sonstige Zulagen
- Wellbeing budget
- Work-from-home budget
- Co-working stipend
Mentale Gesundheitsförderung
- Mental health support
Weiterbildungsangebote
- Learning budget
Mehr Urlaubstage
- Generous holiday allowance
Sonstige Vorteile
- Office days at Berlin HQ or European location
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Apheris erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Noch nicht perfekt?
- Apheris
Director of ML Research – AI Applications(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - PAIR Finance GmbH
Team Lead Data Science(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Clue
(Senior) ML Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Apheris
.AI Program Manager – Drug Discovery Networks(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin
APApheris
Technical Lead – Large Molecule AI Systems(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Building federated large molecule AI systems for drug discovery, hands-on with antibody modeling and binder prediction. 5+ years applying ML to biological problems required. Early-stage virtual share options, wellbeing budget.
Anforderungen
- PhD, MSc, or equivalent experience in relevant field
- 5+ years applying ML to scientific/biological problems
- Experience in structural biology, antibody engineering, biologics discovery, developability prediction, binder prediction, or protein design
- Hands-on experience with modern ML systems in Python and PyTorch
- Worked with or extended large-scale models (OpenFold, AlphaFold, Boltz, ESM, or similar)
- MLOps or ML infrastructure experience
- Kubernetes-based training, evaluation, or deployment workflows
- Define success criteria and validate model quality
- Ensure ML releases are robust for real-world use
- Led delivery of complex ML projects
- Set technical direction for ML projects
- Managed risks and dependencies in ML projects
- Drove teams toward high-quality ML releases
- Player-coach role: mentoring engineers and ML scientists
- Contribute directly to modeling, experimentation, or architecture
- Work effectively with product, research, leadership, customers, and scientific stakeholders
- Turn ambiguous requirements into clear technical plans
- Experience with federated learning, privacy-preserving ML, or distributed training
- Experience in multi-party training environments
- Production-grade model delivery in regulated/enterprise environments
- Production-grade model delivery in pharmaceutical/biotech environments
- Production-grade model delivery in high-trust environments
- Publication record in top-tier ML venues
- Publication record in computational biology venues
- Publication record in structural biology venues
Aufgaben
- Lead teams in building and delivering federated large molecule AI systems
- Stay hands-on with antibody modeling, co-folding, binder prediction, and developability
- Build and implement ML applications for large biomolecular foundation models
- Ensure high-quality model releases ship on time against committed milestones
- Translate ambiguous scientific and technical goals into clear plans and priorities
- Guide evaluation decisions and deliver results packages to external stakeholders
- Surface risks, blockers, bugs, timeline changes, and technical trade-offs early
- Align consortium members on objectives, evaluation criteria, data requirements, and delivery expectations
- Work with product, engineering, research, and leadership to shape the model roadmap
Berufserfahrung
- 5 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- OpenFold
- AlphaFold
- Boltz
- ESM
- Kubernetes
- federated learning
- privacy-preserving ML
- distributed training
Benefits
Attraktive Vergütung
- Industry-competitive compensation
- Early-stage virtual share options
Sonstige Zulagen
- Wellbeing budget
- Work-from-home budget
- Co-working stipend
Mentale Gesundheitsförderung
- Mental health support
Weiterbildungsangebote
- Learning budget
Mehr Urlaubstage
- Generous holiday allowance
Sonstige Vorteile
- Office days at Berlin HQ or European location
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Apheris erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Apheris
Branche
Pharmaceuticals
Beschreibung
Apheris builds AI applications for pharmaceutical R&D, enabling secure collaboration on large AI models to accelerate drug discovery.
Noch nicht perfekt?
- Apheris
Technical Lead - Structural Biology Networks(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Apheris
Director of ML Research – AI Applications(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - PAIR Finance GmbH
Team Lead Data Science(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Clue
(Senior) ML Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Apheris
.AI Program Manager – Drug Discovery Networks(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin