Target RWE
healthcare
QuantitativeScientist
“Quantitative Scientist at Target RWE. Skills: real-world data, quantitative analysis, data quality, analytical excellence, cross-functional collaboration. ensure data are reliable, well-understood, and ready for scientific and regulatory use. support high-quality analyses”
Industry & Context.
analytical, problem-solving, and conceptual thinking skills
What They're Looking For.
Must Have
Master's degree in biostatistics, epidemiology, health economics, bioinformatics, data science, or a related quantitative field (or equivalent experience), 3–5 years of experience working with real-world data (e. g. , EMR, claims, registry, or clinical trial data), programming skills in R and familiarity with reproducible analytic workflows, Experience with data cleaning, validation, quality checks, or curation processes, Demonstrated ability to write clear, maintainable, well-documented code, analytical, problem-solving, and conceptual thinking skills, Excellent communication and collaboration skills with technical and scientific partners, Ability to translate analytic outputs into clear, actionable insights
What You'll Do.
ensure data are reliable
and ready for scientific and regulatory use
support high-quality analyses
contribute to data validation and curation processes
build scalable analytic workflows
support the design and execution of analyses
ensure data are accurate
and ready for analysis
contribute to data validation
and “fitness-for-use” assessments
develop expertise in data structure
support the creation and upkeep of data documentation
assist in developing scalable processes that promote trust
reproducible real-world evidence generation
assist in the design and execution of retrospective and prospective analyses
write analytic code for descriptive
and predictive analyses
contribute to scalable and reusable analytic workflows and code structures
apply best practices in coding
methodology selection
help transform analytic findings into clear visualizations
support the development of publications
and scientific presentations
translate data into scientific and strategic value
collaborate with teams to align on data strategy and analytic priorities
participate in internal discussions and occasional client meetings
share insights about data assets to help inform decision-making
and customer-facing materials
How You'll Work.
Team & Collaboration
work with cross-functional teams; collaborate with internal teams; collaborate with Product, Engineering, Medical Science, Clinical Operations, and Commercial teams; participate in internal discussions and occasional client meetings
Communication Scope
Excellent communication and collaboration skills with technical and scientific partners; Ability to translate analytic outputs into clear, actionable insights
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