Senior Data Analyst - Health Economics Outcomes Research - Canada

AIP Connect; Toronto; On-site; CAD 85,000 - 110,000; Full time

Job summary

A boutique HEOR consulting firm is seeking a Senior Data Analyst to conduct statistical analyses and support healthcare decision-making. The position requires proficiency in SAS and R, with at least five years of experience in the pharmaceutical industry. Ideal candidates will enjoy collaborating across teams and have a knack for creative problem-solving.

Qualifications

• Minimum 5 years of experience as a Programmer or Data Analyst in the HEOR or pharmaceutical industry.
• Proficiency in SAS and R required; Python and Stata are a plus.
• Strong understanding of statistical methodologies and applications in health economics.

Responsibilities

• Conduct statistical analyses to derive insights from healthcare databases.
• Collaborate to design and implement HEOR studies for large pharmaceutical companies.
• Communicate findings through reports and presentations, translating complex concepts.

Skills

Statistical analysis

Statistical programming (SAS)

Statistical programming (R)

Data interpretation

Analytical skills

Problem solving

Education

Master’s or PhD in Biostatistics, Statistics, Epidemiology

Tools

Python

Stata

Job description

Our client, an innovative, client-focused boutique HEOR consulting firm is growing! We’re looking for a Senior Data Analyst to join their team.

The ideal candidate will have a strong background in statistics and proficiency in statistical programming using SAS and/or R and must have experience in health care.

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. While this is a boutique organization, it has received significant industry recognition, and has established a growing list of clients. Therefore, you may face dynamic challenges that will require you to have an out of the box, solutions driven approach.

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.

In this role, you will:

• Conduct statistical analyses to derive insights from complex healthcare databases, ensuring accuracy and relevance to client objectives.
• Write statistical code and collaborate with other biostatisticians across projects for code and results auditing.
• Collaborate with cross-functional teams to design and implement HEOR studies for large pharmaceutical companies.
• Develop and validate statistical analysis plans to assess treatment effectiveness, cost-effectiveness, and patient outcomes.
• Communicate findings through comprehensive reports and presentations, translating complex statistical concepts into actionable recommendations for clients.
• Reference EMR (electronic medical records) and claims databases and work with data vendors.

Skills & Experience:

• Master’s or PhD in Biostatistics, Statistics, Epidemiology, or a related field.
• Minimum of 5 years of experience as a Programmer or Data Analyst within the HEOR or pharmaceutical industry, or a relevant industry.
• Proficiency in statistical programming languages including SAS and R is required; 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 required.