Senior Data Analyst - HEOR Consulting

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

The ideal candidate will have a strong background in statistics or biostatistics 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, specifically related to oncology data.

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:

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

Skills and experience you bring:

• 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.

Location:

Ideally you live in the Greater Toronto Area, but we’re open to remote in Canada where you’ll be working in EST time zone.

Salary Range:

$120,000 - $135,000 a year

AIP Connect believes in equal opportunity. Our recruitment consultants are committed to inclusive recruitment and selection practices and will not discriminate based on age, colour, ability, national origin, race, religion, sex, or sexual orientation.

Accessibility: If you need any accommodations during the interview process, please let us know.

Posted Salary: Actual compensation within this range will be determined based on job-related skills, relevant experience, education, and training. This range reflects base salary only and does not include eligibility for bonus program or other benefits.

For the most accurate and up-to-date details on this role, please refer directly to AIP Connect’s careers page, as third-party sites may not reflect current information.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.