Summit Therapeutics, Inc.
About Summit Therapeutics, Inc. (Ivonescimab, SMT112)
Summit Therapeutics, Inc. is developing Ivonescimab, a novel bispecific antibody that combines PD‑1 blockade with VEGF inhibition into a single molecule. It displays unique cooperative binding and higher affinity when both targets are present, and is currently in Phase III trials for non‑small cell lung cancer (NSCLC).
Location : Princeton, NJ (onsite)
Role Overview Senior Manager, Data Scientist
– part of the Commercial Operations team supporting the U.S. Business Unit. The role involves data integration, advanced analytics, and machine learning initiatives to enable key commercial functions.
Responsibilities
Design and implement advanced analytical models (e.g., predictive modeling, segmentation, optimization, machine learning) using diverse datasets such as claims, EDI, real‑world data, specialty pharmacy/distributor data, EMR, and internal commercial datasets.
Develop and validate algorithms to identify patient journeys, adherence patterns, and treatment pathways.
Contribute to an evolving data science practice, including problem framing, data exploration and preparation, data integration, model development, and production.
Create scoring frameworks (e.g., HCP opportunity models, payer access risk scores, patient conversion likelihood).
Build statistical and machine learning models for both proof‑of‑concept and production environments using Python, R, and SQL.
Partner with stakeholders across U.S. commercial teams to translate business needs into data‑driven solutions.
Communicate advantages, limitations, and implications of analytical approaches to non‑technical audiences.
Share technical insights through design reviews, pair programming, code/model reviews, and team knowledge‑sharing sessions.
Conduct exploratory analysis of new datasets, generate descriptive statistics, identify trends and insights, and propose data engineering opportunities for integration.
Utilize commercial or open‑source analysis platforms daily (e.g., Jupyter Notebook, RStudio, Posit, Microsoft Azure, Neo4j).
All other duties as assigned.
Experience, Education & Skills
Experience in biotech, pharmaceuticals, or life sciences required.
Bachelor’s degree in Data Science, Computer Science, Mathematics, or a related field required; advanced degree preferred.
Minimum 5+ years of relevant experience with a bachelor’s degree, or 3+ years with a master’s degree, executing data science projects; experience in customer behavior prediction, journey analytics, marketing analytics, or social network analysis preferred.
Proficiency in Python and/or R.
Strong SQL skills with relational database experience; graph databases and Cypher knowledge a plus.
Familiarity with machine learning and statistical modeling techniques.
Excellent communication and cross‑functional collaboration skills.
Experience developing solutions using text analytics, recommendation engines, or marketing analytics.
Ability to explain statistical and machine learning concepts to business stakeholders.
Knowledge of statistical and data mining techniques such as hierarchical clustering, network analysis, regression, random forests, text mining, NLP, and data visualization.
Compensation Pay range: $153,000 – $180,000 annually, plus bonus, stock, benefits, and other variable compensation. Compensation may vary by location and individual qualifications.
Summit Therapeutics, Inc. is an equal opportunity employer. All required EEO statements comply with applicable laws.
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Summit Therapeutics, Inc. is developing Ivonescimab, a novel bispecific antibody that combines PD‑1 blockade with VEGF inhibition into a single molecule. It displays unique cooperative binding and higher affinity when both targets are present, and is currently in Phase III trials for non‑small cell lung cancer (NSCLC).
Location : Princeton, NJ (onsite)
Role Overview Senior Manager, Data Scientist
– part of the Commercial Operations team supporting the U.S. Business Unit. The role involves data integration, advanced analytics, and machine learning initiatives to enable key commercial functions.
Responsibilities
Design and implement advanced analytical models (e.g., predictive modeling, segmentation, optimization, machine learning) using diverse datasets such as claims, EDI, real‑world data, specialty pharmacy/distributor data, EMR, and internal commercial datasets.
Develop and validate algorithms to identify patient journeys, adherence patterns, and treatment pathways.
Contribute to an evolving data science practice, including problem framing, data exploration and preparation, data integration, model development, and production.
Create scoring frameworks (e.g., HCP opportunity models, payer access risk scores, patient conversion likelihood).
Build statistical and machine learning models for both proof‑of‑concept and production environments using Python, R, and SQL.
Partner with stakeholders across U.S. commercial teams to translate business needs into data‑driven solutions.
Communicate advantages, limitations, and implications of analytical approaches to non‑technical audiences.
Share technical insights through design reviews, pair programming, code/model reviews, and team knowledge‑sharing sessions.
Conduct exploratory analysis of new datasets, generate descriptive statistics, identify trends and insights, and propose data engineering opportunities for integration.
Utilize commercial or open‑source analysis platforms daily (e.g., Jupyter Notebook, RStudio, Posit, Microsoft Azure, Neo4j).
All other duties as assigned.
Experience, Education & Skills
Experience in biotech, pharmaceuticals, or life sciences required.
Bachelor’s degree in Data Science, Computer Science, Mathematics, or a related field required; advanced degree preferred.
Minimum 5+ years of relevant experience with a bachelor’s degree, or 3+ years with a master’s degree, executing data science projects; experience in customer behavior prediction, journey analytics, marketing analytics, or social network analysis preferred.
Proficiency in Python and/or R.
Strong SQL skills with relational database experience; graph databases and Cypher knowledge a plus.
Familiarity with machine learning and statistical modeling techniques.
Excellent communication and cross‑functional collaboration skills.
Experience developing solutions using text analytics, recommendation engines, or marketing analytics.
Ability to explain statistical and machine learning concepts to business stakeholders.
Knowledge of statistical and data mining techniques such as hierarchical clustering, network analysis, regression, random forests, text mining, NLP, and data visualization.
Compensation Pay range: $153,000 – $180,000 annually, plus bonus, stock, benefits, and other variable compensation. Compensation may vary by location and individual qualifications.
Summit Therapeutics, Inc. is an equal opportunity employer. All required EEO statements comply with applicable laws.
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