Job Function: Discovery & Pre-Clinical/Clinical Development
Job Sub Function: Translational Discovery & Development Biomarkers
Job Category:Scientific/Technology
All Job Posting Locations:Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Spring House, Pennsylvania, United States of America
Job Description:Senior Scientist, Computational Biology- Oncology Translational ResearchWe are seeking a highly motivated senior scientist to join our translational research team based in Spring House, PA, Cambridge, MA, La Jolla, CA.
Position SummaryThe Senior Scientist, Computational Biology- Oncology Translational Research, will be responsible for analysis, interpretation and integration of complex, multimodal omics, biomarker, and clinical data. The individual will apply rigorous AI-enabled bioinformatics, statistical, and machine-learning approaches to generate insights that meaningfully inform oncology clinical development, while partnering closely with Translational Research Leaders, Clinical Development, Statistics, Programming, Pathology, Diagnostics, Data Science, Regulatory, and Biomarker Operations.
Essential Job Duties and Responsibilities- Independently analyze multimodal oncology biomarker data and associated clinical outcomes, including DNA/RNA sequencing, flow cytometry, proteomics, single-cell and spatial transcriptomics data, applying cancer biology expertise, rigorous statistical and machine-learning methods to generate biologically and clinically relevant insight.
- Integrate molecular, pathological, and clinical data to identify, validate and evaluate pharmacodynamic, prognostic, predictive, and resistance biomarkers.
- Leverage computational evidence to support the development of translational strategies, using working knowledge of trial design, endpoints, and treatment response.
- Use approved AI-enabled tools responsibly to accelerate analysis, coding, testing, and documentation while ensuring that all outputs are reviewed, validated, traceable, and reproducible.
- Collaborate with cross-functional study and program teams; clearly communicate findings, uncertainty, and limitations; and contribute to publications, presentations, and evaluation of emerging computational and biomarker technologies.
Required Qualifications- PhD in Bioinformatics, Computational Biology, Biostatistics, Genomics, Data Science, or a related quantitative field, with 1-3 years of relevant pharmaceutical or biotechnology industry experience.
- Advanced proficiency in R, with experience in Python, wLinux/Unix, shell scripting, version control, and reproducible analysis of high-throughput sequencing and multimodal omics data.
- Demonstrated oncology translational or clinical-development experience, with strong knowledge of cancer biology, biomarker applications, and clinical-trial concepts.
- Strong statistical and machine-learning experience, including regression, multivariate data analysis, survival analysis, supervised learning, semi-supervised learning, unsupervised learning, reinforcement learning for the analysis of biomarker, assay, and clinical data.
- Ability to communicate complex analyses and their limitations clearly, collaborate across functions, and independently own defined study or biomarker-analysis workstreams.
- Demonstrated scientific accomplishments through peer-reviewed publications and scientific presentations.
Preferred Qualifications- Familiarity with CDISC SDTM and ADaM data models, regulatory clinical data management practices, and biomarker-data traceability.
- Experience with deep learning, multimodal modeling, or responsible application of foundation models or agentic AI to biomedical research.
- Working knowledge of IND and NME development and Phase 1-3 clinical trials, including study design, dose escalation and expansion, analysis populations, clinical endpoints, longitudinal and time-to-event analyses, and interpretation of biomarker data as decision-informing evidence.
- Experience supporting patient-selection, companion or complementary diagnostic, regulatory, or submission-related biomarker activities.
Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company's long-term incentive program.
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
- Vacation -120 hours per calendar year
- Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
- Holiday pay, including Floating Holidays -13 days per calendar year
- Work, Personal and Family Time - up to 40 hours per calendar year
- Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
- Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
- Caregiver Leave - 80 hours in a 52-week rolling period10 days
- Volunteer Leave - 32 hours per calendar year
- Military Spouse Time-Off - 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits
The anticipated base pay range for this position is:$105,000 - $169,050
#LI-Hybrid
Required Skills:Preferred Skills:Biomarkers, Clinical Trial Designs, Coaching, Communication, Critical Thinking, Drug Discovery Development, Human-Centered Design, Interdisciplinary Work, Medical Compliance, Medical Technology, Quality Standards, Research Documents, Safety-Oriented, Scientific Research, Technologically Savvy, Translational Medicine
The anticipated base pay range for this position is :$109,000.00 - $174,800.00
Additional Description for Pay Transparency:
