Hybrid Postdoctoral Researcher, Data Science, Oncology

at Johnson & Johnson

• Job title: Postdoctoral Researcher, Data Science, Oncology
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $95,000 per year
• Degree requirement: Postgraduate Degree
• Tech skills: Python
• Location requirements: Hybrid, Spring House, United States

About the role

• Postdoctoral Data Scientist analyzing high-dimensional omics data to support oncology drug development at Johnson & Johnson. Collaborating with experimental teams and contributing to scientific publications.

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.

Requirements

• 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.

Benefits

• Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
• Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
• Employees are eligible for the following time off benefits: – Vacation – up to 120 hours per calendar year – Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year – Holiday pay, including Floating Holidays – up to 13 days per calendar year – Work, Personal and Family Time - up to 40 hours per calendar year