Principal Scientist, Translational Informatics and Predictive Sciences

Scorpion Therapeutics; Cambridge (MA); On-site; USD 180,000 - 240,000; Full time

Job summary

BMS is seeking a Principal Scientist in Translational Informatics and Predictive Sciences to apply computational, bioinformatics, and ML approaches to large-scale clinical and real-world datasets in solid tumor oncology.

You will analyze data, build predictive models, and collaborate with biomarker and clinical teams to inform treatment response and resistance mechanisms, while providing scientific leadership and mentorship.

Qualifications

• High-throughput molecular data experience.
• Proficiency in R/Python, AI, and statistics.
• Experience in oncology translational sciences or clinical settings preferred.

Responsibilities

• Analyze high-dimensional molecular data, develop predictive models, and generate mechanistic insights.
• Partner with biomarker scientists and clinical teams; provide scientific leadership and mentorship.

Skills

High-throughput data

R/Python

AI/Statistics

Education

Bachelor's degree in a relevant field

Master's degree or PhD preferred

Tools

R

Python

ML tools

Job description

Role

Principal Scientist in Translational Informatics and Predictive Sciences at BMS, focusing on applying computational, bioinformatics, and machine learning approaches to large-scale clinical and real-world datasets in solid tumor oncology.

Responsibilities

• analyze high-dimensional molecular data (e.g., genomics, proteomics), develop predictive models, generate mechanistic insights, and partner with biomarker scientists and clinical teams to inform treatment response and resistance mechanisms. Provide scientific leadership, mentorship, and communicate complex analyses to cross-functional stakeholders.

Qualifications

• Bachelor's (8+ yrs), Master's (6+ yrs), or PhD (4+ yrs) with expertise in high-throughput molecular data and proficiency in R/Python, AI, and statistics. Preferred: experience with spatial ’omics, oncology, and drug development in translational sciences or clinical settings. High-value specifics: oncology (solid tumors), translational research, biomarker discovery, AI/ML applications, and collaboration across R&D stages. Work setup: not specified, but the role involves cross-functional engagement within BMS's research environment.