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PostDoc in Computational and Experimental Protein Design(m/w/x)
Description
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.
Let AI find the perfect jobs for you!
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Requirements
- •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
Education
Work Experience
approx. 4 - 6 years
Tasks
- •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 & Technologies
Languages
English – Business Fluent
- Roche Diagnostics GmbHFull-timeOn-siteManagementPenzberg
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PostDoc in Computational and Experimental Protein Design(m/w/x)
The AI Job Search Engine
Description
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.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •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
Education
Work Experience
approx. 4 - 6 years
Tasks
- •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 & Technologies
Languages
English – Business Fluent
About the Company
Roche Diagnostics GmbH
Industry
Pharmaceuticals
Description
Das Unternehmen setzt sich dafür ein, Krankheiten zu verhindern, zu stoppen und zu heilen, und gewährleistet den Zugang zur Gesundheitsversorgung.
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