Senior Scientist, Computational Biology- Oncology Translational Research

Scorpion Therapeutics; Cambridge (MA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Johnson & Johnson's Innovative Medicine division seeks a Senior Scientist in Computational Biology focused on oncology translational research. You will analyze multimodal omics, biomarker, and clinical data using AI, bioinformatics, and ML to inform oncology clinical development.

Collaborate across clinical, biomarker, regulatory, and data science teams to identify biomarkers for prognosis, treatment response, and resistance, and to advance translational strategies through computational evidence.

Qualifications

• PhD in Bioinformatics, Computational Biology, or related field.
• 1-3 years’ industry experience
• proficiency in R, Python, and high-throughput data analysis
• strong knowledge of oncology biology, biomarker applications, and clinical trial concepts

Responsibilities

• Integrating molecular, pathological, and clinical datasets to identify biomarkers for prognosis, treatment response, and resistance
• Supporting translational strategies through computational evidence
• Collaborating with cross-functional teams including clinical, biomarker, regulatory, and data science units

Skills

R

Python

High-throughput data analysis

Oncology biology

Biomarker applications

Clinical trial concepts

Education

PhD in Bioinformatics / Computational Biology

Tools

CDISC data standards

Deep learning

IND/NME development

Job description

Role

Senior Scientist in Computational Biology focused on oncology translational research within Johnson & Johnson's Innovative Medicine division.

Objectives

Objectives include analyzing complex multimodal omics, biomarker, and clinical data using AI, bioinformatics, and machine learning to generate insights that inform oncology clinical development.

Responsibilities

• Integrating molecular, pathological, and clinical datasets to identify biomarkers for prognosis, treatment response, and resistance
• Supporting translational strategies through computational evidence
• Collaborating with cross-functional teams including clinical, biomarker, regulatory, and data science units

Qualifications

• PhD in Bioinformatics, Computational Biology, or related field
• 1-3 years’ industry experience
• proficiency in R, Python, and high-throughput data analysis
• strong knowledge of oncology biology, biomarker applications, and clinical trial concepts

Preferred

• familiarity with CDISC data standards, deep learning, and clinical trial design
• experience in IND/NME development and biomarker support for diagnostic and regulatory activities

High-Value

• Oncology
• biomarker discovery
• multimodal omics
• clinical trials (Phases 1-3)
• regulatory sciences
• translational medicine
• role involves extensive cross-disciplinary collaboration

Location

Multiple US sites with flexible work arrangements; no specific travel requirements noted.