Principal Programmer (Real World Data)

Purpose

The role of the Principal Programmer is to provide programming support to the statistics and programming department across a range of projects, clients and therapeutic areas.

Key Responsibilities

The study programmer position will be responsible for manipulating large databases and generating reports to enable analysts to explore real world healthcare data assets. Candidates must have excellent SAS and SQL programming skills and the ability to implement complex logic. Candidates must be comfortable with creating complex analysis data sets derived from various data sources with a careful eye for outliers and errors. Prior experience building patient cohorts and evaluating patient healthcare events in large databases and using observational research methods such as epidemiology and statistical methods is strongly desired.

• SAS is also fine. R programming is preferred.
• We are open to any therapeutic area experience. The team primarily supports rare diseases so if we present candidates with this area of expertise then that will be a plus, but no emphasis on therapeutic area.
• Real World Healthcare claims database experience is must. Any equivalent EU database experience to US Market scan/Optum is fine.
• OMOP-Common data model experience is a huge plus. We are fine with someone with even 1 year experience, familiar with this experience.
• SQL is must specially querying and extracting from database.
• Strong communication, time management, enthusiasm and documentation skills are essential in this position.

Technical

Proficient in R and SQL programming - Expertise in Oncology databases such as Flatiron, COTA - Has good understanding of Oncology specific analyses such as Line of Therapy algorithms, Survival analysis, different statistical models - Preferable to have R Shiny or Instant Health Data (IHD) experience - Experience with Analytic Datasets, patient cohorts is good to have.

General

• Lead internal and client study team meetings effectively
• Present study updates internally and at client meetings
• Share scientific, technical and practical knowledge within the team and with colleagues
• Perform work in full compliance with applicable legislation, regulations, company policies, procedures, and training
• Build effective collaborative working relationships with internal and client team members
• Seek opportunities to develop innovative ideas, sharing when appropriate
• Line management or mentorship of more junior team members
• Contribution to development of internal training materials
• Contribution to internal process improvement initiatives

Minimum Qualification Requirements

• Bachelor’s degree in computer science, Statistics, Mathematics, or other subject with high statistical content
• Minimum 7-8 years SAS statistical programming experience
• Database programming using SQL
• Experience with advanced statistical methods such as survival and regression
• Experience with real world healthcare claims and EHR data such as MarketScan, Optum and Medicare databases

Other Information/Additional Requirements

• Master’s degree in Epidemiology, Biostatistics, Computer Science, or other subject with high statistical content
• Training or experience using the OMOP common data model
• Training or experience with Python, R, Databricks or other cloud-based software
• Pharmaceutical industry experience
• Training or experience in epidemiological methods