Postdoctoral Scholar, AI​/ML drug metabolite prediction and LC-MS analytical chemistry

Position: Postdoctoral Scholar, AI/ML for drug metabolite prediction and LC-MS analytical chemistry
Location: Spring House

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and Med Tech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn

more at

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Career Programs

Job Sub Function:

Post Doc - Drug Discovery & Pre-Clinical/Clinical Development

Job Category:

Career Program

All Job Posting Locations:

Beerse, Antwerp, Belgium, Spring House, Pennsylvania, United States of America

Job Description:

The Drug Discovery Data Science team in Beerse, Belgium, and Spring House, Pennsylvania, USA, is seeking a highly motivated postdoctoral scholar for a two-year contract to develop an AI/ML-driven platform for predicting drug metabolites (SOM), pharmacokinetics, and molecular properties facilitating LC-MS-based structure elucidation and compound purification. In this role, the candidate will conduct fundamental research, making use of extensive internal biochemical and analytical datasets.

This will result in meaningful and transformative impacts on ongoing drug discovery and development projects by applying the tools developed. Given the multidisciplinary nature of the project, the candidate will collaborate with a diverse group of drug discovery and development experts along with data scientists while developing explainable AI tools, with aspects of uncertainty estimation and active learning approaches while leveraging a cutting-edge molecular AI architecture.

A successful candidate should demonstrate a strong capacity to build, evaluate, and benchmark deep learning methods and communicate findings in peer reviewed publications. Additionally, they should be an effective communicator and be comfortable leveraging a large internal network for the purpose of data curation and generation.

Drug Discovery Data Science team is a part of Therapeutics Discovery and brings innovative AI/ML solutions to all steps and areas of drug discovery process, enabling long-term visionary plans within the company surrounding the new discovery paradigm.

Tasks/Duties/Responsibilities

* 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

Required Minimum Education:

PhD degree in Computational chemistry, Cheminformatics, Physical Chemistry, Analytical Chemistry, Machine Learning, Data Science or a related field

Required Years of Related

Experience:

0-4

Required Knowledge, Skills, and Abilities:

* 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

: AI/ML for Chemistry

Preferred

Knowledge, Skills and Abilities:

* Strong understanding of analytical chemistry and chemical instrumentation

* Understanding of drug metabolization and PK/PD

* Modeling experience utilizing uncertainty-aware learning,…