Die KI-Suchmaschine für Jobs
PostDoc in Computational and Experimental Protein Design(m/w/x)
Beschreibung
In this role, you will blend cutting-edge computational techniques with hands-on lab work to advance antibody engineering. Your contributions will play a vital part in drug discovery, while engaging with the scientific community and sharing findings.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
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
Ausbildung
Berufserfahrung
ca. 4 - 6 Jahre
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
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
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PostDoc in Computational and Experimental Protein Design(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
In this role, you will blend cutting-edge computational techniques with hands-on lab work to advance antibody engineering. Your contributions will play a vital part in drug discovery, while engaging with the scientific community and sharing findings.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
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
Ausbildung
Berufserfahrung
ca. 4 - 6 Jahre
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
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
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.
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