Principal Scientist, Translational Computational Oncology

Biopharma Careers; North Carolina; Hybrid; USD 115,000 - 227,000; Full time

Benefits offered by this job

Vacation –120 hours per year

Sick time – 40 hours per year, varies

Parental Leave – 480 hours

Bereavement Leave – 240 hours

Volunteer Leave – 32 hours

Military Spouse Time-Off – 80 hours

Job summary

Johnson & Johnson in the United States is seeking a Principal Scientist, Computational Biology-Oncology Translational Research to lead the development of computational strategies for oncology biomarker programs. You will integrate multimodal omics and clinical data, defend analytical approaches, and deliver AI-enabled bioinformatics and statistical evidence for clinical development.

Responsibilities include leading hands-on analyses of multimodal biomarker data, designing robust analytical

Qualifications

• PhD in Bioinformatics, Computational Biology, Biostatistics, Genomics, Data Science, or a related quantitative field, with at least 3 years of relevant industry experience.
• Advanced proficiency in R, with experience in Python, Linux/Unix, shell scripting, version control, and reproducible analysis of high-throughput sequencing and multimodal omics data.
• Demonstrated scientific leadership in computational oncology, with deep knowledge of cancer biology, biomarker applications, oncology drug development, and ability to facilitate major programs or study workstreams.
• Advanced statistical and machine-learning experience, including regression, multivariate data analysis, survival analysis, supervised/unsupervised learning, and ML for biomarker data.
• Deep working knowledge of IND and NME development and Phase 1–3 oncology trials, including dose escalation, randomization, endpoints, and longitudinal data.
• Ability to lead and influence across functions, communicate complex analytical recommendations, and publish/present findings.

Responsibilities

• Lead computational hands-on analyses of multimodal oncology biomarker data (DNA/RNA sequencing, proteomics, flow cytometry, single-cell, spatial transcriptomics).
• Define and develop statistical and machine-learning plans for biomarker and clinical-outcome analyses with careful bias and validation considerations.
• Drive integration of molecular, pathological, assay, sample, and clinical data to establish clinical utility and evidentiary strength of biomarkers.
• Define and support computational evidence generation for biomarker plans, patient selection, enrichment strategies, and MRD initiatives.
• Drive responsible adoption of AI-enabled methods with human oversight, validation, and data privacy.
• Collaborate with cross-functional teams and contribute to publications, presentations, and evaluation of new computational technologies.

Skills

PhD in Bioinformatics/Computational Bi

R programming

Python

Statistics & machine-learning

Oncology biology

Leadership & collaboration

Education

PhD in a quantitative field

Tools

CDISC SDTM/ADaM

Deep learning frameworks

Job description

Johnson & Johnson in the United States is seeking a Principal Scientist, Computational Biology-Oncology Translational Research to lead the development of computational strategies for oncology biomarker programs. You will integrate multimodal omics and clinical data, defend analytical approaches, and deliver AI-enabled bioinformatics and statistical evidence for clinical development.

Responsibilities include leading hands-on analyses of multimodal biomarker data, designing robust analytical