Associate Scientist,Computational & Systems Biology

  • Company: Johnson & Johnson
  • Location: Spring House, Pennsylvania
  • Posted: January 23, 2017
  • Reference ID: 5846170110-en-us

Janssen Research & Development, L.L.C., a division of Johnson & Johnson's Family of Companies is recruiting for an Associate Scientist to join the Computational Sciences group within Discovery Science, to be based out of Springhouse PA. Up to 10% domestic and international travel is required.


At the Janssen Pharmaceutical Companies of Johnson & Johnson, what matters most is helping people live full and healthy lives. We focus on treating, curing and preventing some of the most devastating and complex diseases of our time. And we pursue the most promising science, wherever it might be found. 


Janssen Research & Development, LLC discovers and develops innovative medical solutions to address important unmet medical needs in oncology, immunology, neuroscience, infectious diseases and vaccines, and cardiovascular and metabolic diseases. Please visit for more information.  


We are Janssen. Our mission drives us. Our patients inspire us. We collaborate with the world for the health of everyone in it.


Thriving on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. Proud to be an equal opportunity employer. 


Janssen Discovery Sciences is supporting transformational research harnessing state-of-the-art multi-parametric platforms and systems analysis of the immune response in preclinical models and clinical studies to identify and evaluate innovative interventions in oncology, pathogenic infections and auto-immune diseases and guide prophylactic and therapeutic vaccine development.

This commitment aims to bridge the gap between the single molecule/single regimen pharmacology and the orchestration of host response in animal models and in the clinic. The goal is to take into consideration the cooperative and cross-talking, non-linear processes of immune cells transitioning in a continuum of states thereby enabling deeper understanding of emergent deleterious or disease resolving behaviors.

Considerable internal investments have been made in mass cytometry, high-content imaging, single cell sequencing with corresponding high-dimensional data analytics that allows for the systematic evaluation of the immune repertoire in the normal and disease state.  In addition, we have established a network of key strategic academic partners as key components of our systems immunology strategy.

  • Integration, analysis and interpretation of high dimensional data generated from preclinical and clinical compound profiling studies and disease models. The transition to tractable molecular determinants and models will demand close coordination with the experimental scientists to identify relevant and testable hypotheses and assayable readout combinations. 
  • Collaborations with Therapeutic Area/Disease Area Stronghold scientific will provide an opportunity to design and implement a choice of optimal analysis and modeling approaches, also driven by incentives to publish the non-proprietary new science.
  • Contribution to the design and the selection of new experiments, optimal experimental design and hypothesis driven studies is an integral part of the role.

  • A minimum of a M.S. degree in Computational Biology or Bioinformatics with experience in an academic or industrial setting is required
  • Experience in analysis and modeling of control mechanisms of heterogeneous multicellular processes is preferred.
  • Demonstrated experience with graph based probabilistic modeling, ODE/PDE based modeling and related predictive approaches that led to hypothesis driven simulation and experimental testing is preferred.
  • Strong programming and scripting skills that enable the development of functional prototypes is required.
  • Experience in a wide range of bioinformatics tools, especially the analysis of proteomics and/or flow cytometry data using R/Bioconductor or similar software is required.
  • Experience in handling high-dimensional single cell data, e.g. mass cytometry, high-content imaging derived features is required
  • Excellent communication, reporting and team working skills, yet able to work independently is required. 

Primary Location
United States-Pennsylvania-Spring House
Janssen Research & Development, LLC. (6084)
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