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Job Function: Career Programs Job Sub Function: Post Doc - Data Analytics & Computational Sciences Job Category: Career Program All Job Posting Locations: Cambridge, Massachusetts, 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
Johnson & Johnson Innovative Medicine (JJIM), a Johnson & Johnson company, is recruiting for a Postdoctoral Data Science Oncology to be located at our office in either Spring House, PA; Titusville, NJ; Cambridge, MA. The successful candidate will work closely with experimental and clinical collaborators, applying cutting-edge statistical and machine-learning approaches to identify immune cell states, biomarkers, and mechanisms underlying response to cancer therapy. This position is ideal for a postdoc eager to translate complex data into biological insight and clinically relevant hypotheses.
Key Responsibilities:
• Perform comprehensive computational analyses of single-cell and spatial transcriptomics datasets to characterize the tumor microenvironment in bladder cancer. • Apply advanced statistical and machine-learning methods to identify biomarkers, immune cell states, and biological mechanisms associated with BCG immunotherapy response. • Integrate multi-modal datasets, including scRNA-seq, spatial transcriptomics, bulk RNA-seq, proteomics, and clinical metadata, to achieve a systems-level understanding of tumor-immune interactions. • Incorporate imaging and pathological covariates alongside molecular data to generate clinically interpretable insights and inform treatment strategies. • Lead the synthesis of computational findings into clear, compelling scientific narratives and drive manuscript preparation for submission to high-impact journals. • Collaborate closely with experimental scientists and clinical teams to interpret results, refine hypotheses, and guide translational research directions. • Present findings internally and externally at scientific meetings and seminars.
Required Qualifications:
PhD in Computational Biology, Bioinformatics, Data Science, Systems Biology, Biostatistics, or a related quantitative discipline. Strong experience analyzing high-dimensional omics data (e.g., single-cell RNA-seq, spatial transcriptomics, bulk RNA-seq). Proficiency in computational programming languages such as R and/or Python. Demonstrated ability to work independently on complex data analysis projects and communicate results clearly. Strong scientific writing skills and a track record for first-author publications.
Preferred Qualifications:
Experience with tumor immunology, cancer biology, or immunotherapy datasets. Familiarity with spatial transcriptomics platforms and/or imaging-based analyses. Experience integrating multi-modal molecular and clinical datasets. Prior exposure to translational or clinically oriented research environments.
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center ra-employeehealthsup@its.jnj.com or contact AskGS to be directed to your accommodation resource.
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