Senior Scientist, Computational Biology- Oncology Translational Research

Scorpion Therapeutics; San Diego (CA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Scorpion Therapeutics seeks a Senior Scientist in Computational Biology focused on Oncology Translational Research to analyze multi-omics data and inform cancer treatment development. The role combines DNA/RNA sequencing, proteomics, and spatial transcriptomics with clinical outcomes, applying AI, machine learning, and statistics to identify prognostic biomarkers and guide translational strategies.

Collaboration spans data science, clinical development, pathology and diagnostics.

Qualifications

• PhD in a relevant field with 1–3 years of industry experience.
• Proficiency in R, Python, and Unix; experience with high-throughput data analysis.
• Strong knowledge of cancer biology, biomarkers, and clinical trial concepts.

Responsibilities

• Integrate DNA/RNA sequencing, proteomics, and spatial transcriptomics with clinical outcomes.
• Apply AI, machine learning, and statistical methods to identify prognostic and resistance biomarkers.
• Support translational strategies aligned with clinical trial design.
• Collaborate with cross-functional teams across data science, clinical development, pathology, and diagnostics; communicate findings and contribute to publications.

Skills

R

Python

Unix

HT data analysis

Biomarker knowledge

Cancer biology

Clinical trial concepts

Education

PhD in Bioinformatics/Computational Biology/Biostatistics

Tools

CDISC SDTM/ADaM

Deep learning

Job description

Role

Senior Scientist in Computational Biology focused on Oncology Translational Research, analyzing complex multi-omics, biomarker, and clinical data to inform cancer treatment development.

Responsibilities

Responsibilities include integrating DNA/RNA sequencing, proteomics, and spatial transcriptomics with clinical outcomes, applying AI, machine learning, and statistical methods to identify prognostic and resistance biomarkers, and supporting translational strategies aligned with clinical trial design. Collaborates with cross-functional teams across data science, clinical development, pathology, and diagnostics, communicating findings and contributing to scientific publications.

Qualifications

PhD in Bioinformatics, Computational Biology, Biostatistics, or related field with 1-3 years industry experience; proficiency in R, Python, Unix, and high-throughput data analysis; strong knowledge of cancer biology, biomarkers, and clinical trial concepts.

Preferred

familiarity with regulatory data standards (CDISC SDTM/ADaM), deep learning, multimodal modeling, and Phase 1-3 clinical trials.

High-Value

Oncology, biomarker discovery, multimodal omics, translational research, clinical trial support, AI-enabled bioinformatics.

Location

Multiple US sites, hybrid options possible.