Roche
.PostDoc Position in Immunology(m/w/x)
Vollzeitnur vor OrtKeine Angabe
Penzberg
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RORoche Diagnostics GmbH
PostDoc in Computational and Experimental Protein Design(m/w/x)
Penzberg
VollzeitVor OrtSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Developing computational methods for antibody engineering and drug discovery, integrating ML with Molecular Dynamics in a lab-in-the-loop setup. PhD in computational structural biology or related field, with deep ML understanding for protein prediction, required. Direct contribution to breakthrough drug discovery.
Anforderungen
- Solid understanding of protein biophysics
- Hands-on experience with core laboratory techniques for creating protein variants, such as protein expression and purification, or eagerness to learn
- PhD in a relevant field, such as Computational Structural Biology, Bioinformatics, Biophysics, Biochemistry, or a related field with a strong computational focus
- Deep understanding of machine learning approaches for protein structure and property prediction, and generative models
- Familiarity with structural modeling and design platforms for biomolecules and protein-protein interactions (e.g. MOE, Schrödinger, Rosetta, modeling and docking algorithms)
- Fluency in English and strong oral and written communication skills
- Solid understanding of antibody structure and/or familiarity with immune repertoire sequencing datasets
- Hands-on experience of in vitro testing methods for antibody characterization, such as Surface Plasmon Resonance (SPR)
- Engagement in scientific research continuously since PhD and readiness to start an RPF postdoctoral activity no later than 4 years after completing PhD
Aufgaben
- Develop and validate novel computational methods for antibody engineering
- Integrate Machine Learning with Molecular Dynamics workflows
- Implement a lab-in-the-loop approach for computational modeling and experimental validation
- Create a predictor for antibody affinity maturation and developability
- Contribute to drug discovery efforts for breakthrough medicines
- Attend and present at scientific meetings
- Interact with the scientific community and publish experimental advances
- Collaborate with host teams and stakeholders on protein design algorithms
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- MOE
- Schrödinger
- Rosetta
- Surface Plasmon Resonance (SPR)
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Roche Diagnostics GmbH 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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RORoche Diagnostics GmbH
PostDoc in Computational and Experimental Protein Design(m/w/x)
Penzberg
VollzeitVor OrtSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Developing computational methods for antibody engineering and drug discovery, integrating ML with Molecular Dynamics in a lab-in-the-loop setup. PhD in computational structural biology or related field, with deep ML understanding for protein prediction, required. Direct contribution to breakthrough drug discovery.
Anforderungen
- Solid understanding of protein biophysics
- Hands-on experience with core laboratory techniques for creating protein variants, such as protein expression and purification, or eagerness to learn
- PhD in a relevant field, such as Computational Structural Biology, Bioinformatics, Biophysics, Biochemistry, or a related field with a strong computational focus
- Deep understanding of machine learning approaches for protein structure and property prediction, and generative models
- Familiarity with structural modeling and design platforms for biomolecules and protein-protein interactions (e.g. MOE, Schrödinger, Rosetta, modeling and docking algorithms)
- Fluency in English and strong oral and written communication skills
- Solid understanding of antibody structure and/or familiarity with immune repertoire sequencing datasets
- Hands-on experience of in vitro testing methods for antibody characterization, such as Surface Plasmon Resonance (SPR)
- Engagement in scientific research continuously since PhD and readiness to start an RPF postdoctoral activity no later than 4 years after completing PhD
Aufgaben
- Develop and validate novel computational methods for antibody engineering
- Integrate Machine Learning with Molecular Dynamics workflows
- Implement a lab-in-the-loop approach for computational modeling and experimental validation
- Create a predictor for antibody affinity maturation and developability
- Contribute to drug discovery efforts for breakthrough medicines
- Attend and present at scientific meetings
- Interact with the scientific community and publish experimental advances
- Collaborate with host teams and stakeholders on protein design algorithms
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- MOE
- Schrödinger
- Rosetta
- Surface Plasmon Resonance (SPR)
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Roche Diagnostics GmbH 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
Roche Diagnostics GmbH
Branche
Pharmaceuticals
Beschreibung
Das Unternehmen setzt sich dafür ein, Krankheiten zu verhindern, zu stoppen und zu heilen, und gewährleistet den Zugang zur Gesundheitsversorgung.