Principal Scientist, Biological Network Analytics

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:
Discovery & Pre-Clinical/Clinical Development

Job Sub Function:
Biological Research

Job Category:
Scientific/Technology

All Job Posting Locations:
Spring House, Pennsylvania, 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 searching for the best talent for a Principal Scientist, Biological Network Analytics to be located in Spring House, PA.

Purpose:

This role will directly support the broader Multiomic Discovery efforts through integration and analysis of multiple high dimensional biology datasets within the Biological Network Analytics group and contribute to the understanding of complex biology through advanced data analysis methods.

You will be responsible for:


* designing, implementing and validating computational models to study biological processes


* analyzing and integrating large datasets generated from multiple platforms including NGS, Proteomics, and high content imaging


* applying large scale Multiomic capabilities to support a modality agnostic portfolio across therapeutic areas


* partnering with wet and dry lab stakeholders within and Multiomic Discovery


* collaborating with cross-functional teams to support the design and implementation of experiments as part of broader Multiomic & High Dimensional Biology endpoints


* partnering with Therapeutic Area, Data Sciences, Safety, and In Silico Design teams to provide unbiased screening results supporting modality and indication agnostic drug discovery

Qualifications

Education:


* PhD in Cell Biology, Molecular Biology, Computational Biology, Bioinformatics or related discipline required


* Post-doc fellowship in related field preferred

Required:


* A minimum of 6 years biotech of pharmaceutical industry experience is required


* Strong communication and presentation skills is required


* Proficiency in programming languages such as R or Python is required


* Knowledge of machine learning algorithms, statistical modeling, and unsupervised ana...