SQL Programmer Intern - job 2 of 3

Description

The SQL Intern Programmer contributes within the product development life cycle of bioMérieux’s molecular products. The Intern's role in the department includes supporting studies that assess diagnostic device performance, retrospective database studies, meta-analyses, and human and economic outcomes research (HEOR). This position reports to the Director of Global Medical Affairs for Molecular and Digital Solutions.

Responsibilities

Develops strategy to assemble data sets that accurately reflect study cohort inclusion criteria in retrospective database studies

Extracts data from databases using SQL

Cleans and prepares data for statistical analysis

Assists with data formatting and monitoring of results from on-going laboratory studies

Assists with data formatting and statistical analysis in HEOR and meta-analysis studies

Provides data analysis, statistical modeling, and data visualizations to communicate results to the team

Interprets results and contributes to manuscripts intended for peer-reviewed publication

Works with team scientists (generally microbiologists and pharmacists) to incorporate current performance standards related to quantifying the performance of our diagnostic devices

Supports the Peri- & Post- product Launch Study (PPLS) program as requested

Communicates effectively with team members and internal stakeholders

Anticipates and proactively mitigates challenges and risks to timely completion of documents

Required Education, Experience & Skills

Bachelor’s Degree or degree in progress in Data Science, Statistics, Mathematics, Computer Science, Epidemiology or similar degree with a primary focus on quantitative science

Expertise with SQL database programming and data cleaning is required

1-2 years experience working with real-world data preferred

Expertise with R language programming is preferred

Expertise with patient outcomes research, meta-analysis, and in vitro diagnostics device studies is preferred

Excellent practices in documentation, commenting, and validation of code

Experience with Big Data, Amazon Web Services skills is preferred

Experience with Tableau, R Shiny, or other business-intelligence platforms is preferred

Experience with software development and version control using Git is preferred

Ability to contribute to writing statistical methods and results sections for scientific papers; authorship in peer-reviewed scientific publications is preferred

Excellent interpersonal, analytical, communication (oral and written), presentation, and project management skills

Problem-solving mindset

Team player

Ability to work in a highly matrixed global environment

Strong prioritization and decision-making skills

Fluent in English