Design, development, and evaluation of models for analytical instrumentation, metabolite prediction, and PK/PD
Leveraging public data and our internal network for the creation and curation of relevant data
Deployment and application of models in an industrial setting
Writing peer reviewed publications
Development, training, conferences, internal meetings, and symposia

PhD degree in Computational chemistry, Cheminformatics, Physical Chemistry, Analytical Chemistry, Machine Learning, Data Science or a related field
0-4 years of related experience
Strong background and practical experience in applying machine learning and deep learning methods, benchmarking AI models
Strong background in conventional cheminformatics, respective python packages and software
General understanding of general, organic, and analytical chemistry
Strong scientific publication track record (peer reviewed publications, patents, preprints) and/or demonstrated contributions to computer codebases
Proficiency in Python to the capacity to quickly prepare, analyze, and build models around data
Highly collaborative, and capable of working with a large internal network to leverage various data sources

an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions.
vacation days
parental leave for a minimum of 12 weeks
bereavement leave
caregiver leave
volunteer leave
well-being reimbursement
programs for financial, physical and mental health.
service anniversary and recognition awards.
eligible dependents can participate in several insurance plans.

Postdoctoral Scholar, AI/ML for Drug Metabolite Prediction and LC-MS Analytical Chemistry

Key skills