Postdoctoral Scientist, Human Omics of Preclinical Safety Prediction, AI/ML

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 – Drug Discovery & Pre-Clinical/Clinical Development

Job Category:

Career Program

All Job Posting Locations:

Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

About Innovative Medicine:

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

We are seeking an exceptional Postdoctoral Scholar passionate about genetics and multiomics, complex traits, and data sciences. This role focuses on enhancing target risk prediction through validation studies, off-target risk estimation, and cross-species evolutionary metrics. We are looking for our Postdoctoral Scholar to be located in Spring House, PA; Raritan, NJ; or Titusville, NJ.

Remote work options may be considered on a case-by-case basis and if approved by the Company.

Purpose:

Our expertise in Janssen R&D is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. You will join the Janssen’s Preclinical Sciences and Translational Safety (PSTS) organization and work closely with the Population Analytics & Insights (PAI) team in Data Sciences & Digital Health (DSDH). The PAI team combines the power of ‘omics data with AI to generate scalable, cutting-edge solutions and insights in drug development. Collaborating with the PSTS, we integrate omics data to improve preclinical safety profiling and help standardize safety evaluation in early drug development.    

You will be responsible for: 

• Optimize, and validate state-of-the-art models to extract translational and actionable insights from ‘omics and cheminformatic data 

• Design and implement validation protocols to evaluate (preclinical) safety predictions  

• Integrate cross-species conservation and phenotype concordance metrics to enhance prediction. 

• Clearly articulate complex technical methods, biological information, and results to diverse audiences, including scientists, stakeholders, and decision-makers to facilitate informed decision-making and drive project success 

• Author scientific publication in top-tier journals and conferences  

Required qualifications:  

• PhD in genetics, population genetics, computational biology, epidemiology, biomedical sciences, toxicology, statistics, data sciences, or related field completed within the past 3 years or to be completed in the upcoming 6 months. 

• Strong experience in driving research in human, animal, or evolutionary genetics and genetic associations with complex traits/disease.  

• In depth understanding of omics-related data including genetic sequencing, bulk and single-cell expression, proteomics, as well as related analysis including GWAS, PheWAS, TWAS, etc. 

• Proficiency in programming languages such as Python, R, and/or C++. 

• Proficiency in statistical analysis and data handling, data cleaning, normalization of large-scale datasets. 

• Proven scientific excellence as evidenced by publications, patents, and/or high-level presentations. 

• Ability to effectively communicate complex technical concepts and results to a wide range of audiences, including non-technical stakeholders. 

• Demonstrated experience working on interdisciplinary teams.