Johnson & Johnson Innovative Medicine
Postdoctoral Scientist, In Silico Immune Disease Models (m/f/x)
Johnson & Johnson Innovative Medicine, Cambridge, Massachusetts, us, 02140
Postdoctoral Scientist, In Silico Immune Disease Models (m/f/x)
Johnson & Johnson Innovative Medicine is currently seeking a
Postdoctoral Scientist, In Silico Immune Disease Models
with a strong preference for location 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
Lead the development of advanced network-based in silico immune/autoimmune disease models within the Data Science and Digital Health organization. Identify, characterize, and advance therapeutic candidates for clinical development by providing innovative, multi-modal insights of complex biological regulation through computational modeling. Oversee collaborations with multidisciplinary teams, drive model development, perform data analysis, and ensure adherence to software engineering best practices. Collaborate with biologists and immunologists to translate biological hypotheses into testable computational outcomes. Provide technical leadership, mentor junior scientists, and define research strategies to advance understanding of diseases and their mechanisms. What You Will Do
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. Design experiments to facilitate rigorous model evaluation in collaboration with cross-functional teams. Ensure compliance with internal coding standards, data integrity practices, and reproducibility protocols for research outputs. Communicate model performance and research findings through technical reports, presentations, and contributions to publications. Mentor junior researchers and provide technical leadership to enhance team capabilities. Qualifications
A Ph.D. completed within the last three years in computer science, artificial intelligence, software engineering, or a related field. Proficiency in Python and C/C++. Experience designing and implementing reproducible workflows for large-scale transcriptomics data analysis. Strong background in developing and optimizing machine learning algorithms; knowledge graphs or ML-driven biological network modeling is strongly preferred. Experience applying algorithms in a biological context; molecular and immunological contexts are strongly preferred. Proven track record of impactful research with publications in top-tier peer-reviewed journals. Experience defining research strategies and setting project milestones to drive innovation in foundational models. Strong communication skills to present complex concepts to both scientific peers and non-experts. Preferred Qualifications
First-hand experience in oncology and/or immunology research. Knowledge of therapeutic strategies and clinical implications in cancer and immune-related diseases. Familiarity with multi-omics models and data integration across platforms. Job Details
Job function: Research, Analyst, and Information Technology Industries: Pharmaceutical Manufacturing Employment type: Full-time
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Johnson & Johnson Innovative Medicine is currently seeking a
Postdoctoral Scientist, In Silico Immune Disease Models
with a strong preference for location 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
Lead the development of advanced network-based in silico immune/autoimmune disease models within the Data Science and Digital Health organization. Identify, characterize, and advance therapeutic candidates for clinical development by providing innovative, multi-modal insights of complex biological regulation through computational modeling. Oversee collaborations with multidisciplinary teams, drive model development, perform data analysis, and ensure adherence to software engineering best practices. Collaborate with biologists and immunologists to translate biological hypotheses into testable computational outcomes. Provide technical leadership, mentor junior scientists, and define research strategies to advance understanding of diseases and their mechanisms. What You Will Do
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. Design experiments to facilitate rigorous model evaluation in collaboration with cross-functional teams. Ensure compliance with internal coding standards, data integrity practices, and reproducibility protocols for research outputs. Communicate model performance and research findings through technical reports, presentations, and contributions to publications. Mentor junior researchers and provide technical leadership to enhance team capabilities. Qualifications
A Ph.D. completed within the last three years in computer science, artificial intelligence, software engineering, or a related field. Proficiency in Python and C/C++. Experience designing and implementing reproducible workflows for large-scale transcriptomics data analysis. Strong background in developing and optimizing machine learning algorithms; knowledge graphs or ML-driven biological network modeling is strongly preferred. Experience applying algorithms in a biological context; molecular and immunological contexts are strongly preferred. Proven track record of impactful research with publications in top-tier peer-reviewed journals. Experience defining research strategies and setting project milestones to drive innovation in foundational models. Strong communication skills to present complex concepts to both scientific peers and non-experts. Preferred Qualifications
First-hand experience in oncology and/or immunology research. Knowledge of therapeutic strategies and clinical implications in cancer and immune-related diseases. Familiarity with multi-omics models and data integration across platforms. Job Details
Job function: Research, Analyst, and Information Technology Industries: Pharmaceutical Manufacturing Employment type: Full-time
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