Principal Scientist AI/ML Drug Discovery

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 MedTech, 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 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:

Intelligent 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.

 

Within the Drug Discovery Data Sciences organization of Johnson & Johnson Innovative Medicine we have an open position for a Senior/Principal Data Scientist that will join the Intelligent Automation efforts for Small Molecule discovery.

 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.

Role and responsibilities
 

·        Contribute to the development of intelligent automation platforms, integrating AI/ML suites with wet lab equipment.

·        Be part of team of data scientists, aiming on the development and deployment of appropriate AI/ML methods and continuous improvement upon existing solutions.

·        Work closely with IT and LabOps to implement solutions in real world conditions.

·        Communicate results in audiences with heterogeneous background.

 

Requirements
 

·        A PhD in a relevant field that reflects expertise with Active Learning & Bayesian optimization.

·        Proven experience with Deep Learning architectures and uncertainty quantification frameworks.

·        Affinity with multi-parametric optimization methods.

·        Knowledge of Small Molecule Drug Discovery (for Principal Scientist).

  

·        Strong knowledge of Python development and affinity with cloud infrastructure.

·        Good 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.

#JNJDataScience

The anticipated base pay range for this position is :
146.200 USD - 197.800

Additional Description for Pay Transparency:
Subject to the terms of...