Senior Manager, Data Scientist
About The Position
Ivonescimab known as SMT112 is a novel potential first in class investigational bispecific antibody combining the effects of immunotherapy via a blockade of PD 1 with the anti angiogenesis effects associated with blocking VEGF into a single molecule Ivonescimab displays unique cooperative binding to each of its intended targets with multifold higher affinity when in the presence of both PD 1 and VEGF Summit has begun its clinical development of ivonescimab in non small cell lung cancer NSCLC with three active Phase III trials HARMONi is a Phase III clinical trial which intends to evaluate ivonescimab combined with chemotherapy compared to placebo plus chemotherapy in patients with EGFR mutated locally advanced or metastatic non squamous NSCLC who have progressed after treatment with a 3rd generation EGFR TKI eg osimertinib HARMONi 3 is a Phase III clinical trial which is designed to evaluate ivonescimab combined with chemotherapy compared to pembrolizumab combined with chemotherapy in patients with first line metastatic NSCLC HARMONi 7 is a Phase III clinical trial which is intended to evaluate ivonescimab monotherapy compared to pembrolizumab monotherapy in patients with first line metastatic NSCLC whose tumors have high PD L1 expression Ivonescimab is an investigational therapy that is not approved by any regulatory authority in Summits license territories including the United States and Europe Ivonescimab was approved for marketing authorization in China in May 2024 Ivonescimab was granted Fast Track designation by the US Food & Drug Administration FDA for the HARMONi clinical trial setting Overview of Role The Senior Manager Data Scientist role is part of the Commercial Operations team supporting the US Business Unitwhich includes but is not limited to Sales Marketing and Market Access This team enables key business functions and strategic initiatives through data integration reporting and advanced analytics This position provides a unique opportunity for broad exposure across the US commercial organization by contributing to the development of advanced analytics solutions A core focus of the role will involve executing analytics on a variety of data sourcesincluding patient claims EDI shipment data and unstructured datasetsas well as supporting future machine learning initiatives
Requirements
- Experience in biotech pharmaceuticals or life sciences required
- Bachelors degree in Data Science Computer Science Mathematics or a related field required; advanced degree preferred
- Minimum 5 years of relevant experience with a bachelors degree or 3 years with a masters degree contributing to or executing data science projects
- Demonstrated proficiency in Python andor R
- Strong SQL skills with hands on experience working with relational databases; experience with graph databases and Cypher is a plus
- Familiarity with machine learning and statistical modeling techniques
- Strong communication and cross functional collaboration skills
- Proven ability to explain statistical and machine learning concepts to business stakeholders in clear and meaningful terms
- Knowledge of statistical and data mining techniques such as hierarchical clustering network analysis regression random forests text mining NLP and data visualization
Nice To Haves
- Industry experience in customer behavior prediction customer journey analytics marketing analytics or social network analysis is preferred
- Experience developing solutions using text analytics customer journey analytics marketing analytics or recommendation engines
Responsibilities
- Design and implement advanced analytical models eg predictive modeling segmentation optimization machine learning using diverse datasets such as claims outlet level sales data EDI hub data real world data RWD specialty pharmacydistributor 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 machine learning model development and production
- Create scoring frameworks eg 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 the US commercial teams to translate business needs into data driven and machine learning solutions
- Communicate advantages limitations and implications of analytical approaches to non technical audiences
- Share technical insights and solutions through design reviews pair programming codemodel 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 one or more commercial or open source analysis platforms daily eg Jupyter Notebook RStudio Posit Microsoft Azure Neo4j
- All other duties as assigned
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Chemical Manufacturing
