Apheris
Technical Lead - Structural Biology Networks(m/w/x)
Vollzeitmit HomeofficeSenior
Berlin
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APApheris
Director of ML Research – AI Applications(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Designing and enhancing foundation models for structural biology and co-folding in federated data networks. 7+ years relevant experience and 3+ years technical leadership required. Early-stage virtual share options, wellbeing budget.
Anforderungen
- Postgraduate degree (PhD or MSc) in Computer Science, Machine Learning, Computational Biology, or related field
- 7+ years relevant experience
- 3+ years technical leadership experience
- Strong experience applying ML to biological problems
- Experience in structural biology or ADMET
- Proven publication record in top-tier ML or computational biology venues
- Hands-on experience with modern ML systems
- Experience with large-scale models
- Comfortable operating as player-coach
- Setting technical direction
- Leading teams
- Direct contribution to modelling and experimentation
- Effective in cross-functional environments
- Effective in customer-facing environments
- Translate ambiguous scientific problems into technical approaches
- Experience in early-stage biotech
- Experience building ML systems from scratch
- Experience building research functions from scratch
- Experience training large models
- Experience with distributed training across GPU clusters or cloud platforms
- Strong ML Ops experience
- Strong machine learning infrastructure experience
- Experience with Kubernetes-based workflows
- Experience developing QSAR models
- Experience writing Triton kernels
- Experience optimising model performance at systems level
- Experience in federated learning
- Experience in privacy-preserving ML
- Experience in multi-party training environments
Aufgaben
- Set up and lead ML Research team
- Work alongside existing engineering teams
- Establish research mandate for organization
- Design and enhance foundation models
- Train models for structural biology and co-folding
- Address core challenges in protein interaction modelling
- Leverage large-scale datasets for improved data pipelines
- Develop model architectures capturing geometric and physical priors
- Translate ML advances into practical drug discovery solutions
- Lead cross-functional delivery across teams
- Ensure research integrates into production workflows
- Collaborate with academic partners on research
- Contribute to publications and conference presentations
- Represent Apheris in customer discussions
- Solve high-impact modelling problems for pharma partners
- Build and mentor a high-performing team
- Define initial research roadmap
- Begin hands-on work on co-folding model generalisation
- Deliver initial results and customer-ready analyses
- Establish strong collaboration patterns
- Clarify team capability and hiring plan
- Own portfolio of applied research workstreams
- Be recognized as technical authority in discussions and collaborations
Berufserfahrung
- 7 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- OpenFold
- Boltz
- AWS
- Azure
- Kubernetes
- Triton
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
Team Events & Ausflüge
- Office days in Berlin HQ or European location (3x per year)
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.
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APApheris
Director of ML Research – AI Applications(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Designing and enhancing foundation models for structural biology and co-folding in federated data networks. 7+ years relevant experience and 3+ years technical leadership required. Early-stage virtual share options, wellbeing budget.
Anforderungen
- Postgraduate degree (PhD or MSc) in Computer Science, Machine Learning, Computational Biology, or related field
- 7+ years relevant experience
- 3+ years technical leadership experience
- Strong experience applying ML to biological problems
- Experience in structural biology or ADMET
- Proven publication record in top-tier ML or computational biology venues
- Hands-on experience with modern ML systems
- Experience with large-scale models
- Comfortable operating as player-coach
- Setting technical direction
- Leading teams
- Direct contribution to modelling and experimentation
- Effective in cross-functional environments
- Effective in customer-facing environments
- Translate ambiguous scientific problems into technical approaches
- Experience in early-stage biotech
- Experience building ML systems from scratch
- Experience building research functions from scratch
- Experience training large models
- Experience with distributed training across GPU clusters or cloud platforms
- Strong ML Ops experience
- Strong machine learning infrastructure experience
- Experience with Kubernetes-based workflows
- Experience developing QSAR models
- Experience writing Triton kernels
- Experience optimising model performance at systems level
- Experience in federated learning
- Experience in privacy-preserving ML
- Experience in multi-party training environments
Aufgaben
- Set up and lead ML Research team
- Work alongside existing engineering teams
- Establish research mandate for organization
- Design and enhance foundation models
- Train models for structural biology and co-folding
- Address core challenges in protein interaction modelling
- Leverage large-scale datasets for improved data pipelines
- Develop model architectures capturing geometric and physical priors
- Translate ML advances into practical drug discovery solutions
- Lead cross-functional delivery across teams
- Ensure research integrates into production workflows
- Collaborate with academic partners on research
- Contribute to publications and conference presentations
- Represent Apheris in customer discussions
- Solve high-impact modelling problems for pharma partners
- Build and mentor a high-performing team
- Define initial research roadmap
- Begin hands-on work on co-folding model generalisation
- Deliver initial results and customer-ready analyses
- Establish strong collaboration patterns
- Clarify team capability and hiring plan
- Own portfolio of applied research workstreams
- Be recognized as technical authority in discussions and collaborations
Berufserfahrung
- 7 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- OpenFold
- Boltz
- AWS
- Azure
- Kubernetes
- Triton
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
Team Events & Ausflüge
- Office days in Berlin HQ or European location (3x per year)
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)
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