Scientist II, Real World Data Science
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The role
Lead independent translational research projects by integrating molecular and clinical data from a multimodal platform to derive real-world insights for biopharma partners.
Communicate complex genomic findings clearly and persuasively to diverse external stakeholders.
Stay current with industry trends in computational oncology and apply new methodologies to improve research quality.
Collaborate with cross-functional teams to translate insights into decisions for drug development.
Demonstrate strong proficiency in R and related tools (Rmd/RShiny) and contribute to R package development where applicable.
Operate effectively in a fast-paced environment, manage priorities, and maintain rigorous quality and reproducibility.
Communicate complex genomic findings clearly and persuasively to diverse external stakeholders.
Stay current with industry trends in computational oncology and apply new methodologies to improve research quality.
Collaborate with cross-functional teams to translate insights into decisions for drug development.
Demonstrate strong proficiency in R and related tools (Rmd/RShiny) and contribute to R package development where applicable.
Operate effectively in a fast-paced environment, manage priorities, and maintain rigorous quality and reproducibility.
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