Senior Statistical Programmer - HEOR Consulting

AIP ConnectNew York City, NY
$110,000 - $130,000

About The Position

Our client is a boutique HEOR consulting firm known for their innovative approach and high-impact work. They offer the agility of a small team with the prestige of a major industry player. We are seeking a Senior Data Analyst who thrives in a dynamic environment, enjoys out-of-the-box problem solving, and is eager to lead study design, dive into complex data structures, and help build out new data platforms. In this position, you won't just run models; you will be the architect of the data journey. At least 50% of your time will be dedicated to hands-on programming and data manipulation. You will transform raw US databases into sophisticated analytical datasets to drive healthcare decision-making for global pharmaceutical leaders. This is a hands-on role where you’ll be deeply involved in the technical how to of each project.

Requirements

  • Previous experience in an HEOR consulting firm is a requirement.
  • Deep familiarity with US administrative claims and EMR/EHR data.
  • Expert-level proficiency in SAS and/or R.
  • Master’s or PhD in Biostatistics, Statistics, Epidemiology, or a related field.
  • At least 5 years of experience in HEOR consulting.
  • A meticulous eye for code auditing.
  • Natural ability to mentor junior staff.

Nice To Haves

  • Familiarity with Python or Stata.

Responsibilities

  • Heavy Data Manipulation: Building analytical datasets from the ground up, including patient selection, programming attrition counts, and working extensively with ICD-10, NDC, and CPT codes.
  • Conducting analyses such as Treatment Pattern Analysis, Clinical Outcomes, and Healthcare Resource Utilization (HCRU) and Cost analysis.
  • Collaborating with cross-functional teams to design HEOR studies, write Statistical Analysis Plans (SAPs), and ensure methodological rigor.
  • Acting as a lead resource for junior staff, providing hands-on guidance on statistical methods and conducting code reviews in SAS and R.
  • Translating complex statistical findings into clear, actionable recommendations for pharmaceutical leaders.

Benefits

  • Eligibility for bonus program
  • Other benefits
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