Data Analyst - Programmer

3 days ago

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AIP Connect

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AIP Connect is a recruitment and consulting company offering a range of staffing solutions including executive search, temporary staffing, and freelance recruitment. Based in Canada and the USA, AIP Connect operates globally, finding and connecting talent across various markets. The company provides in-house recruitment services tailored to organizational needs, along with business and HR consulting. Known for its integrity and industry insights, AIP Connect focuses on creating exceptional teams by connecting likeminded individuals.

Recruitment • Marketing • Human Resource Consulting • Outsourced Recruiting • Head Hunting

2 - 10 employees

👥 HR Tech

🎯 Recruitment

🤝 B2B

📋 Description

• Our client, an innovative, client-focused boutique HEOR consulting firm is growing! • We’re looking for a Data Analyst & Programmer to join their team. • The ideal candidate will have a strong background in statistics and proficiency in statistical programming using SAS and/or R. • In this role, you will utilize real-world data to conduct a range of health care economic, clinical effectiveness, and burden of illness analyses to support pharmaceutical products throughout their life cycles across a range of disease areas. • This opportunity is for you if you’re looking for an environment where you can play a big role in study design and analytics, and where you will have the opportunity to analyze and explore different types and structures of data. • In this role, you will be responsible for the design and analysis of studies that inform healthcare decision-making and contribute to the development of innovative solutions for their clients. • Additionally, this role is for you if you’re excited about opportunities to build new data platforms.

🎯 Requirements

• Master’s or PhD in Biostatistics, Statistics, Epidemiology, or a related field. • Minimum of 5 years of experience in biostatistics within the HEOR or pharmaceutical industry, or a relevant industry. • Proficiency in statistical programming languages including SAS and R; experience with other programming tools (e.g., Python, Stata) is a plus. • Strong understanding of statistical methodologies and their applications in health economics and outcomes research. • Excellent analytical skills with the ability to interpret complex data and communicate findings effectively. • Strong communication skills, entrepreneurial spirited and an openness to out of the box creative problem solving. • Experience with electronic medical record (EMR) databases and claims databases is preferred.