Clinchoice Inc.

Clinchoice Inc.

Senior Real-World Data Scientist/Analytics Consultant (Clinical or pharmaceutical industry experience is

United States · Senior

Sponsorship not specifiedDetected 26 days ago
PythonData StructuresSQLMachine LearningData ScienceClinical TrialsSASResearchExperimental DesignLeadershipCollaborationEpidemiology

About the role

  • Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring?
  • Our team says it's the best of both worlds….
  • ClinChoice is searching for a Senior Real-World Data Scientist/Analytics Consultant to join one of our clients.

Responsibilities

  • Lead development of analysis specifications, develop programs, and conduct analyses while providing technical guidance for Real World Data (RWD) research.

Requirements

  • Statistical programing proficiency (R, SAS, SQL., Python)
  • Demonstrated ability to communicate complex analyses to non-technical stakeholders
  • Technical Expertise
  • Proficiency in SAS or R & SQL is a must, expectation to be programming independently, creating packages, taking requirements, writing specifications, work with complex data structures and study design.
  • Experience with complex statistical programing, such as propensity score matching
  • Experience with OHDSI or DARWIN tool sets in R Subject Matter Expertise
  • Understanding of epidemiology / outcomes research, experience with study design and execution, Biomarker/genomic data sou

Visa & Work Authorization

  • Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring?
  • As we expand our presence and offerings, we're looking for an experienced Senior Real-World Data Scientist/Analytics Consultant to join our dynamic team and lead analytical efforts across diverse therapeutic areas for a high-profile sponsor.

This listing is sourced directly from Clinchoice Inc.'s careers page and normalized into a canonical job model.