Data Scientist, AI/ML Drug Discovery

//https://www.jnj.com

Job Function:
Data Analytics & Computational Sciences
Job Sub Function:
Data Science
Job Category:
Scientific/Technology
All Job Posting Locations:
Beerse, Antwerp, Belgium, Spring House, Pennsylvania, United States of America, Toledo, Spain
Job Description:

AI/ML Senior Scientist in Drug Discovery Data Sciences

Next Generation Automation refers to the bidirectional coupling between automated lab equipment and Artificial Intelligence (AI). Through successive iterations, such closed-feedback loop systems facilitate the AI-driven design, execution and analysis of experiments and utilize a wealth of in silico methodologies including active learning, multi-parametric dynamic optimization, model predictive control, Model-based Design of Experiments, and others.

Within the Drug Discovery Data Sciences organization of Johnson & Johnson Innovative Medicine we have an open position for a senior scientist that will play a pivotal role in our strategic effort to transition automation into the next generation. To do so, the new member will collaborate within interdisciplinary teams comprising biologists, medicinal chemists, data scientists, computational chemists and IT experts across all therapeutic areas. They are expected to utilize their expertise and know-how to bridge the gap and close the loop between existing automation and in silico solutions and develop new modeling suites according to the needs of each project.

Role and responsibilities

• Co-develop system engineering plans for closed loop automation projects from PoC to production.

• Develop and productionize the in silico suites by using AI/ML and other appropriate modelling methodologies.

• Actively participate in evaluation of third-party solutions.

• Work closely with IT, engineering and Lab-tech to implement solutions.

• Communicate results in audiences with heterogeneous background.

Requirements

• A PhD with an AI/ML publication track record.

• Previous experience with Process or Lab Automation.

• Familiarity with Model Predictive Control and DOEs or similar mathematical capabilities.

• Knowledge of Python development and affinity with AWS (or similar cloud environments).

• Strong interpersonal, organizational and communication skills.

• Motivation to be part of a team that celebrates diversity and offers an inclusive working environment where creativity and innovation can thrive.