Postdoctoral Scientist, In Silico Immune Disease Models (m/f/x)

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:
Career Programs

Job Sub Function:
Post Doc – Data Analytics & Computational Sciences

Job Category:
Career Program

All Job Posting Locations:
Beerse, Antwerp, Belgium, Cambridge, Massachusetts, United States of America, DE009 Johnson&Johnson Platz 1, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

Postdoctoral Scientist, In Silico Immune Disease Models

Johnson & Johnson Innovative Medicine is currently seeking a Postdoctoral Scientist, In Silico Immune Disease Models with a strong preference for this individual to be located at one of our sites in Berlin, Germany, Beerse, Belgium, Spring House, PA, Cambridge, MA, Titusville, NJ, or La Jolla, CA (Remote work options within the US may be considered on a case-by-case basis and if approved by the company).

Key Responsibilities:

In this role, you will join the Data Science and Digital Health organization within Johnson and Johnson Innovative Medicine, focusing on leading the development of advanced network-based in silico immune/autoimmune disease models.

You will play a crucial role in identifying, characterizing and advancing therapeutic candidates for clinical development by providing innovative, multi-modal insights of complex biological regulation through the lens of computational modeling.

Your responsibilities will include overseeing collaborations with multidisciplinary teams, driving model development, performing data analysis, and ensuring adherence to best practices in software engineering.

You will work alongside biologists and immunologists to convert their biological hypotheses into testable computational outcomes.

Additionally, you will provide technical leadership, mentor junior scientists, and define research strategies to advance our understanding of various diseases and their underlying mechanisms.

In This Role, You Will:


* Lead collaborations with Translational Research, Discovery, and Development teams to develop AI/ML models that drive insights for personalized medicine.


* Analyze and integrate high-dimensional biological data from spatial transcriptomics and single-cell sequencing for model training and validation.


* Develop and implement scalable statistical and machine learning algorithms using large-scale transcriptomics datasets.


* Oversee the design of experiments that facilit...