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Your day-to-day will involve analyzing, preparing, and structuring data; building and optimizing predictive models; leveraging clustering algorithms; and collaborating with cross-functional teams (Product, Engineering, Marketing) to integrate ML solutions into customer-focused strategies and processes. As a Senior Data Scientist on the Data and Growth teams, you will focus on machine learning modeling to build predictive models that help us understand our customers better, improve user experience, and efficiently acquire and retain members.

YEAR

Current

Senior Data Scientist

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Data Expertise: Demonstrated experience analyzing large-scale biological datasets (e.g., NGS, RNA-seq, other genomics or transcriptomics data), ideally in oncology, immunology, or human disease. The role focuses on integrating large-scale molecular and clinical datasets, generating actionable insights for drug discovery and development, and building next-generation research tools that enhance the impact and efficiency of our work.

Tempus AI Inc

Senior Scientist II, Computational Biology, Pharma R&D

For New York City Residents: To assist in identifying candidates with qualifications matching those required and/or preferred for this role, Insmed uses an Automated Employment Decision Tool ("AEDT") that employs artificial intelligence to analyze and score information provided in resumes and application materials including, but not limited to, skills, work experience, education, and job-related qualifications. Desire to expand knowledge in advanced analytical and biophysical techniques to characterize proteins including light scattering (e.g., DLS, SEC-MALS, batch MALS), circular dichroism, fluorescence, Amide IFTIR, thermal stability (DSC), and sub-visible particle analysis.

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