Post Doc - Machine Learning

Ingelheim, Deutschland, Rheinland-Pfalz

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The Position

We are looking for a dedicated and innovative postdoctoral fellow to focus on small molecule machine learning applications in analytical development. Your work will involve predicting properties relevant to analytical methods such as HPLC and MS, utilizing molecular machine learning techniques that map structure to properties.   This Position is limited for 2 years.
Note: To make it easier to find our job advertisements, we use the usual designation "Post Doc". Of course, this advertisement is not only addressed to applicants directly after completing their doctorate, but to all qualified candidates


Tasks & responsibilities

  • In your new role, you will develop and enhance machine learning models that predict chemical properties relevant to analytical method development.
  • Moreover, you will utilize molecular machine learning techniques, deep learning and Bayesian Optimization.
  • With your expertise, you will improve existing models and workflows while also contributing new ideas and methodologies.
  • You will collaborate with data scientists, software engineers, and domain experts to integrate machine learning solutions into analytical development processes.
  • Furthermore, you will leverage both internal and external data sources to enrich model accuracy and applicability.
  • You will also participate in a supportive and collaborative team environment, fostering continuous learning and professional growth.
  • In addition, you will share your research outcomes through internal presentations, publications, and participation in international conferences.
 

Requirements

  • Ph.D. in Computer Science, Natural Sciences, or a related field
  • Experience in molecular machine learning, deep learning, Bayesian Optimization 
  • Proficiency in relevant programming languages (e.g., Python)
  • Strong collaborative skills and the ability to work effectively within a multidisciplinary team
  • Enthusiasm for learning and growing professionally in a supportive work environment
  • Knowledge in chemistry is a plus
  • Fluency in English


Ready to contact us? 

If you have any questions about the job posting or process - please contact our HR Direct Team, Tel: +49 (0) 6132 77-3330 or via mail: hr.de@boehringer-ingelheim.com
Recruitment process:
Step 1: Online application - application deadline is April 18, 2025.  
Step 2: Virtual meeting in the period from end April to beginning of May, 2025
Step 3: On-site interviews mid to end of May, 2025  
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Bayesian Chemistry Computer Science Deep Learning Machine Learning ML models Python Research

Perks/benefits: Career development Conferences

Region: Europe
Country: Germany

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