Data Strategist for Healthcare Projects
2 weeks ago
Senior Data ProgrammerThe position of the Senior Data Programmer is to provide data programming support to various projects and clients across a range of therapeutic areas.This role will be responsible for manipulating large datasets, generating reports, and analyzing real-world healthcare data assets. Candidates must have advanced SAS and SQL programming skills and the ability to implement complex logic. They should be comfortable with creating complex analysis datasets from various data sources, taking care to identify outliers and errors. Prior experience building patient cohorts and evaluating patient healthcare events in large databases using epidemiological and statistical methods is highly desired.We are open to candidates with expertise in any therapeutic area. However, experience in rare diseases is a plus, but not emphasized. The team primarily supports real-world healthcare claims database experience, which includes EU databases equivalent to US MarketScan/Optum. OMOP-Common data model experience is also highly valued. Strong communication, time management, enthusiasm, and documentation skills are essential for this position.Required Skills and QualificationsProficient in R and SQL programmingExpertise in Oncology databases such as Flatiron, COTAGood understanding of Oncology-specific analyses such as Line of Therapy algorithms, Survival analysis, different statistical modelsR Shiny or Instant Health Data (IHD) experience is preferredAnalytic Datasets, patient cohorts are desirableBenefitsLead internal and client study team meetings effectivelyPresent study updates internally and at client meetingsShare scientific, technical, and practical knowledge within the team and with colleaguesPerform work in full compliance with applicable legislation, regulations, company policies, procedures, and trainingBuild effective collaborative working relationships with internal and client team membersOthersLine management or mentorship of more junior team membersContribution to development of internal training materialsContribution to internal process improvement initiativesBachelor's degree in Computer Science, Statistics, Mathematics, or other subjects with high statistical contentMinimum four years SAS statistical programming experienceDatabase programming using SQLExperience with advanced statistical methods such as survival and regression
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