Postdoctoral Researcher in Cheminformatics (m/f/d)

WELCOME TO BASF

We are a leading global research organization with over 3000 employees working in the field of material and analytical science, chemical synthesis, process development, bioscience, catalysis and digitalization. With our creative and diverse teams as well as our cutting-edge research, we help to make our customers more successful and drive the sustainability transformation.

WHAT YOU CAN EXPECT

As part of an enthusiastic global team of experts in our department Group Research, you will work on developing and applying Large Language Models (LLMs) to predict molecular properties, focusing on toxicological effects. This role requires close collaboration with academic partners from universities, aiming for joint publications.

• You will be part of a motivated, interdisciplinary and diverse team of cheminformaticians collaborating with computational chemists, data scientists, medicinal chemists, biologists and many others to find the best solution.
• As a Postdoctoral Researcher you will use machine learning techniques such as transformers to analyze and interpret industry relevant datasets, enhancing our team's capabilities for molecular property prediction, particularly in toxicology.
• Moreover you will create pipelines to compile datasets from public and internal proprietary sources to develop new methods for property prediction.
• In addition to working with small molecules, there are opportunities to collaborate with other groups, including material sciences, (e.g. polymers), or quantum chemistry, based on your background and interests.

WHAT YOU OFFER

Mandatory Skills:

• successfully completed PhD in cheminformatics, bioinformatics, computer science, engineering, or a related field
• during your research you have gained expertise in machine learning used for small molecule property prediction or other related tasks
• strong/effective interpersonal and communication skills in English will facilitate your work in an interdisciplinary environment
• familiarity with the Python programming language, including the concepts of functions and classes as well as experience with scikit-learn and PyTorch or TensorFlow
• excitement about learning new skills and contributing to a collaborative environment

Optional Skills:

• experience with LLM architectures and training
• background with knowledge in toxicology
• deeper understanding of Python/ Software development
• experience with RDKit as cheminformatics library
• experience with tools around machine learning deployment and versioning such as git, CI/CD pipelines, DVC, docker, FastAPI, SQL, working in high performance computing environments
• german language skills

WHAT WE OFFER

• Teambuddy - contact person for all questions and regular feedback
• Networks - get to know different perspectives, ways of thinking and fields of work
• Information about the compensation can be found here
• Flexible working hours - depending on the location and area of work
   

HOW TO REACH US

Laura Bogner (Talent Acquisition), laura.bogner@basf.com will be happy to answer your questions for this position
You can also reach our recruiting team here
First information about our application process can be found here

ABOUT US

BASF SE, located in Ludwigshafen am Rhein, is the corporate headquarters of the BASF Group and part of the Rhine-Neckar Metropolitan Region. BASF stands for competence in chemistry since 1865 and is represented today in the world's major consumer markets, with a wide range of products. As the largest employer in the region, BASF SE offers multiple career opportunities for students, university graduates and professionals providing also training in over 30 professions. Leisure, sports, culture and a good infrastructure characterize the Rhine-Neckar Metropolitan Region, in which BASF is also involved with numerous activities. Learn more about BASF SE at on.basf.com/BASFSE_LU

Diversity is our greatest strength!

Become a part of our winning formula for success and develop the future with us - in a global team that embraces inclusion and equal opportunities irrespective of gender, age, origin, sexual orientation, disability or belief.