Data Scientist II - Katalyst Healthcares and Life Sciences : Job Details

Data Scientist II

Katalyst Healthcares and Life Sciences

Job Location : all cities,IL, USA

Posted on : 2024-11-01T06:41:08Z

Job Description :
Responsibilities:
  • He/she is expected to have the potential to be the analytics lead for the assigned therapeutic area (TA) to mitigate, resolve and triage certain issues and reduce the touch point needed from the study lead.
  • Responsibility for analytical component of reports describing studies, outcomes and methods used and provide specifications to the V&E researchers.
  • Presenting results of studies and contribute to the writing and publishing of scientific presentations.
  • Identifying appropriate internal and external data resources and external expertise to execute strategies and research activities led by V&E members.
  • Supporting clinical trial endpoint strategies by executing statistical analysis plans and providing consultation to design as needed.
  • Responsibility and accountability for meeting timelines in complex matrix structure. This will require developing and maintain effective cross-functional working relationships to assure effective teamwork and overseeing problem solving within the analytical team.
  • Interactions with V&E TA scientists regarding studies and with other members of the Analytical team that perform QC activities on their studies.
  • Translating V&E business needs into RWE project concepts and collaborating with HEOR scientists to develop study protocols.
Requirements:
  • Master's degree in Statistics or related discipline required, PhD in statistics or closely related discipline preferred.
  • Minimum of 1-2 years' experience in SAS, SQL programming/R/Python required.
  • bility to incorporate production code macros in studies required, ability to execute programming assignment and problem solve issues independently, and ability to present complex research and data clearly to stakeholders.
  • Experience and/or training in the application of advanced scientific and analytical methods.
  • bility to perform urgent analyses that are needed with short turnaround time and interact with internal and external collaborative partners on joint projects.
  • Professional training in a healthcare field, experience in analysis of large medical claims datasets or prior experience in the UNIX/Hadoop environment preferred.
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