Postdoctoral Scientist - Transcriptomics Foundation Models

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, La Jolla, California, United States of America, Neuss, North Rhine-Westphalia, Germany, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

Johnson & Johnson Innovative Medicine is currently seeking a Postdoctoral Scientist (F/M/X), Transcriptomics Foundation 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 developing advanced foundation models using large scale single cell sequencing data.

You will be pivotal in understanding the tumor microenvironment and its clinical implications by leveraging innovative algorithms and high-performance computing.

Your responsibilities include collaborating with multidisciplinary teams, model development, data analysis, and ensuring adherence to best practices in software engineering. 

 

In This Role, You Will: 

 


* Collaborate 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 by using large scale transcriptomics datasets. 



* Participate in designing experiments that enable rigorous model evaluation alongside cross-functional teams. 



* Maintain compliance with internal coding standards, data integrity practices, and reproducibility protocols for research outputs. 



* Communicate model performance and research findings effectively through technical reports, presentations, and contributions to peer-reviewed publications. 

 

Qualifications: 


* Recent Ph.D.

(last 3 years) in computer science, artificial in...