Institute for Clinical Evaluative Sciences Research Analyst interview questions & guide 2026

Interviews at ICES are designed to assess your technical readiness, your methodological rigor, and your ability to function effectively within a multidisciplinary research team. While the following questions reflect common patterns reported by candidates, keep in mind that your specific interview will be tailored to the needs of the hiring department.

Technical & Methodological Proficiency

These questions evaluate your hands-on experience with statistical software and your foundational understanding of epidemiology and biostatistics.

• What is your experience with SAS programming, specifically regarding macros and data manipulation?
• How would you merge multiple datasets to prepare for analysis?

Preparation for an ICES interview should be balanced between sharpening your technical tools and reflecting on your professional experience. You should be prepared to discuss your past projects in detail, focusing on the "why" behind your methodological choices.

Technical Competency – You must be comfortable with SAS and basic statistical modeling. Review your ability to handle data cleaning, merging, and interpretation of output, as these are frequent testing points.

Methodological Rigor – Demonstrate a solid grasp of epidemiological concepts. You will be evaluated on your ability to apply these concepts to real-world scenarios, such as interpreting trends in incidence, mortality, and prevalence.

Problem-Solving & Adaptability – The hiring team wants to see how you handle ambiguity. Be ready to explain your process for approaching a new, messy dataset and how you handle situations where you encounter a knowledge gap.

Collaboration & Communication – Because ICES is highly interdisciplinary, your ability to explain your technical work to scientists, managers, and HR representatives is critical. Focus on your experience working in multidisciplinary teams.

The interview process at ICES is thorough and designed to ensure a strong cultural and technical match. You should expect a multi-stage journey that typically begins with a recruiter or project manager phone screen, followed by one or more rounds of panel interviews. The process is known for being rigorous, often involving multiple team members, including scientists, methodologists, and HR.

During these stages, you will be evaluated not only on your technical answers but also on your ability to present your work clearly. Some rounds may involve live technical assessments, where you might be asked to interpret data outputs, review code, or solve epidemiological problems on the spot. Expect the timeline to span several weeks from application to final decision.

The visual timeline above outlines the typical progression from screening to final panel interviews. Use this to pace your preparation; focus on your "elevator pitch" and high-level experience for the early screens, and reserve deep dives into code and methodology for the later, more technical panel rounds.

Statistical & Programming Expertise

This is the baseline for the role. You are expected to demonstrate proficiency in SAS and be able to articulate why you chose specific coding approaches. Strong candidates don't just write code; they write efficient, reproducible, and well-documented code.

Be ready to go over:

• SAS Macros and their role in automating repetitive tasks.
• Data validation and cleaning techniques for administrative health data.
• Advanced concepts: Understanding of complex survey design, survival analysis, or handling missing data.

Epidemiological Reasoning

You will be tested on your ability to apply scientific theory to data. This involves identifying the right study design and interpreting statistical outputs to draw meaningful conclusions.

Be ready to go over:

• Study design (Cohort vs. Case-Control vs. RCT).
• Interpretation of metrics like odds ratios, confidence intervals, and p-values.
• Advanced concepts: Understanding of confounding, bias, and effect modification.

Behavioral & Situational Awareness

The panel will look for evidence that you can thrive in a collaborative environment. They value candidates who are proactive, honest about their limitations, and skilled at managing stakeholder expectations.

Be ready to go over:

• Handling feedback on your research or code.
• Prioritization strategies for managing multiple, concurrent research projects.
• Conflict resolution in a team setting.

As a Research Analyst, your primary responsibility is to transform raw health data into reliable evidence. You will spend a significant portion of your time preparing datasets, which includes cleaning, linking, and validating information from various administrative health sources. This requires a high degree of attention to detail, as the accuracy of your work directly impacts the quality of the research output.

Beyond the technical work, you will function as a key contributor to research projects. This involves attending project meetings, presenting your analytical findings to scientists and methodologists, and refining your approach based on their feedback. You will often work on multiple projects simultaneously, necessitating strong organizational skills to keep track of documentation, version control, and project timelines.

A competitive candidate for the Research Analyst position will have a strong foundation in a quantitative field (such as epidemiology, statistics, or public health) and practical experience with health data.

• Must-have skills: Proficient SAS programming (including data manipulation and regression analysis), understanding of epidemiological study designs, and experience with large administrative health datasets.
• Nice-to-have skills: Experience with R or Python, familiarity with health policy in Ontario, and experience with advanced statistical modeling techniques.
• Experience level: Most successful candidates have a relevant graduate degree or equivalent professional experience in a research or clinical setting.

Q: How much time should I dedicate to preparing for the technical test? A: Dedicate significant time to reviewing SAS syntax and basic statistical concepts. While some tests are straightforward, others require you to think on your feet, so practice explaining your logic aloud.

Q: Is the interview process at ICES considered difficult? A: It is widely considered rigorous. The panel format and the live technical assessment can feel intimidating, but remember that the team is looking for your problem-solving process as much as the "correct" answer.

Q: How does ICES view remote or hybrid work? A: Expect to clarify this early in the process. Most interviews are conducted virtually, but the work environment may have specific requirements regarding on-site presence for data security or team collaboration.

Q: What differentiates successful candidates? A: Successful candidates bridge the gap between technical skill and scientific curiosity. They don't just execute instructions; they understand the "why" behind the research and can communicate that clearly to a multidisciplinary team.

• Show your work: When asked a technical or methodology question, talk through your thought process step-by-step. Even if you arrive at the wrong answer, showing a logical approach is often valued.
• Be prepared for the "Why ICES" question: Research the organization’s recent publications or public health initiatives. Showing that you understand the impact of their work makes a strong impression.
• Review your past projects: Be ready to discuss the most interesting project you’ve worked on, specifically the challenges you faced and how you overcame them.
• Stay calm under pressure: The panel might push back on your answers to test your depth of knowledge. See this as an opportunity to engage in a scientific discussion rather than a critique of your skills.

The Research Analyst role at Institute for Clinical Evaluative Sciences is a unique opportunity to contribute to high-impact health research that shapes the future of the healthcare system. By mastering the intersection of technical programming and epidemiological methodology, you position yourself as an essential asset to any research team at the organization.

Focus your preparation on your SAS skills, your ability to explain complex statistical outputs, and your capacity to navigate a collaborative, project-based environment. You can explore additional interview insights, practice questions, and preparation resources on Dataford to further refine your approach.

The compensation data provided offers a representative range for this role, though actual offers vary based on your specific level of experience, the complexity of the research area, and the hiring department’s budget. View these figures as a benchmark for market expectations, and focus your negotiations on the total value you bring to the research team.