Snr Research Consultant

Oracle Oracle · Enterprise · Austin, TX +1

This role involves conducting applied research using large healthcare datasets for pharmaceutical and healthcare clients. Responsibilities include performing statistical and epidemiological analyses, investigating applicable solutions through studies, and ensuring quality delivery. The role requires expertise in statistical analysis, data management, and programming in R, SAS, and SPSS.

What you'd actually do

  1. Conduct research studies related to: disease prevalence and incidence, disease burden, treatment utilization, healthcare resource utilization, patient outcomes, caregiver burden, and patterns of medical care and pharmacological treatment.
  2. Perform statistical and epidemiological analyses using large healthcare datasets licensed or collected by Oracle on behalf of pharmaceutical and healthcare clients.
  3. Responsible for conducting applied research in scientific area of focus.
  4. Investigating applicable solutions through rigorous, protracted studies and ensuring that a quality, integrated solution is delivered in a timely manner, at budget, and to our client’s satisfaction.
  5. This involves working closely with the client to understand and manage their expectations, as well as working closely with Oracle and third-party vendors to ensure delivery.

Skills

Required

  • Bachelor’s degree in Computer Science, Engineering, Chemistry, or related technical field
  • Statistical analyses, including bivariate tests, causal inference methods, model assumption tests, complex modeling and data visualization
  • Data cleaning, data management and analysis design using different data sources and types from relational databases, including survey data, clinical trials data, administrative data, and longitudinal data
  • Advanced programming and statistical computing skills in R and SAS
  • Advanced programming and statistical computing skills in SPSS Statistics
  • Evaluate statistical methodology and execution, code checks and providing technical guidance
  • Conduct literature reviews, writing statistical reports, and presenting statistical results to both statistical and non-statistical audience

What the JD emphasized

  • Statistical analyses
  • Data cleaning, data management and analysis design using different data sources and types from relational databases, including survey data, clinical trials data, administrative data, and longitudinal data
  • Advanced programming and statistical computing skills in R and SAS
  • Advanced programming and statistical computing skills in SPSS Statistics
  • Evaluate statistical methodology and execution, code checks and providing technical guidance
  • Conduct literature reviews, writing statistical reports, and presenting statistical results to both statistical and non-statistical audience