You will design innovative methodologies for antibody development, utilize AI to analyze protein interactions, and collaborate with teams to test and improve antibody efficacy while managing databases.
Anforderungen
- •PhD in (bio-)physics or related field
- •Strong machine learning and data analysis skills
- •Experience with TensorFlow, PyTorch, Keras
- •Master multivariate analysis and classification techniques
- •Knowledge of protein dynamics simulation tools
- •Familiarity with MPI/CUDA for high-performance computing
- •Experience with Tableau or Spotfire
- •Thrives in collaborative team environments
- •Curious, proactive, and driven to suggest new ideas
- •Communicates complex concepts clearly in English
Deine Aufgaben
- •Develop methodologies for in silico antibody design.
- •Utilize AI tools to predict protein docking poses.
- •Identify ideal antibodies through molecular binding kinetics.
- •Create algorithms to enhance antibodies using datasets.
- •Collaborate with project teams to express and test antibodies.
- •Maintain and expand existing antibody databases.
Deine Vorteile
Impactful work on projects
Collaboration with experts
Continuous learning opportunities
Innovative team environment
Original Beschreibung
# Postdoc (m/f/d) in Roche Diagnostic Solutions R&D Germany Program in the field of in-silico antibody development
**Penzberg** | **Full time**
### The Position
Are you passionate for innovation in protein interaction analysis and generative AI for protein design? If so, this exciting opportunity at Roche Diagnostics is perfect for you. Join our R&D unit, where you will collaborate with a great team of highly skilled “in silico” and laboratory experts focused on developing cutting-edge antibodies with exceptional specificity and affinity to meet the evolving demands of in vitro diagnostics.
**What We Offer:**
* Impactful Work: Opportunity to work on groundbreaking projects in the dynamic field of in vitro diagnostics.
* Expert Collaboration: Work alongside world-class experts in a supportive and innovative environment.
* Professional Growth: Continuous learning and professional development opportunities.
* Innovative Environment: Be part of a forward-thinking team dedicated to making significant advancements in healthcare diagnostics.
**Your Assets:**
As a Physicist specializing in Protein Structure Prediction and Molecular Modeling, you will:
* Innovate: Develop new methodologies to design “in silico” antibodies for future in vitro diagnostic assays.
* Leverage AI: Utilize advanced AI tools to predict protein docking poses and molecular binding kinetics, aiming to identify the ideal antibodies.
* Algorithm Development: Create novel algorithms to enhance antibodies using both internal and publicly available datasets.
* Collaborate: Work closely with internal project teams and experts to express and test these antibodies.
* Manage Data: Maintain and expand our existing antibody databases.
**Your Profile:**
* You hold a PhD in (bio-)physics, (computational-) chemistry, bioinformatics, or a related field.
* You possess strong machine learning and data analysis skills, proficient in Python.
* You have experience with machine learning/deep learning frameworks like TensorFlow, PyTorch, and Keras for protein language models.
* You master multivariate analysis, dimensionality reduction methods, and modern classification techniques.
* You know protein dynamics simulation tools such as GROMACS, AMBER, or similar toolboxes (a plus).
* You are familiar with parallelization toolboxes like MPI/CUDA for high-performance computing (a plus).
* You have experience with data visualization tools such as Tableau or Spotfire (a plus).
* You thrive in collaborative team environments.
* You are curious, proactive, and driven to independently suggest and try new ideas.
* You communicate complex concepts clearly and convincingly in English, with strong presentation skills.
This position will be filled with effect September 2025 and is limited to 2 years.
**Do your expectations coincide with ours?**
The working location is **Penzberg**.
**Roche is an Equal Opportunity Employer.**