Biostatistical Analyst

  • Full Time
  • Toronto
  • 100 - 125

SickKids



About SickKids

Dedicated exclusively to children and their families, The Hospital for Sick Children (SickKids) is one of the largest and most respected paediatric healthcare centres in the world. As innovators in child health, we lead and partner to improve the health of children through the integration of healthcare, leading-edge research and education. Our reputation would not have been built – nor could it be maintained – without the skills, knowledge and experience of the extraordinary people who come to work here every day. SickKids is committed to ongoing learning and development, and features a caring and supportive work environment that combines exceptionally high standards of practice.



When you join SickKids, you become part of our community. We share a commitment and determination to fulfill our vision of Healthier Children. A Better World.

Don’t miss out on the opportunity to work alongside the world’s best in paediatric healthcare.


Position Description

The Innovative Methods in Paediatric Clinical Trials (IMPaCT) lab and the Child Health Evaluative Sciences (CHES) program at the Hospital for Sick Children are searching for a Biostatistical Analyst to join their team. The IMPaCT lab, led by Dr. Anna Heath, aims to improve the conception, design and conduct of clinical trials through the development of novel statistical methodology, software, expertise and guidance. The IMPaCT lab is committed to creating an inclusive, diverse and equitable environment in which to undertake their research. Crucially, this includes a commitment to ensuring a flexible work environment, which allows our members to balance competing commitments. Furthermore, we actively encourage applications from candidates with characteristics that are currently underrepresented in research in Canada. These include but are not limited to people from Black, Asian and ethnic minority backgrounds; indigenous people; disabled, D/deaf and neurodiverse people; LGBTQ+ people; and women.

The successful candidate in this role will develop novel trial designs in collaboration with clinical experts for a range of studies investigating treatments in the paediatric emergency department, for rare diseases in children and for patients with respiratory failure receiving care in intensive care. The candidate will also be able to contribute to methodological projects that aim to improve the use of novel statistical methods for trial design, particularly focusing on Bayesian adaptive trials and simulation-based trial design. The IMPaCT lab is dedicated to creating a collaborative environment and as such, the successful candidate will work alongside other IMPaCT lab members to complete projects.



Here’s What You’ll Get to Do:

  • Develop statistical trial designs to investigate clinical questions from a Bayesian perspective.
  • Undertake complex simulations to evaluate the characteristics of these novel trial designs.
  • Communicate clinical trial designs to clinical collaborators.
  • Analyse clinical trial data across a range of disease areas for inclusion in presentations and publications using Bayesian methods.
  • Work alongside members of the IMPaCT lab to advance methodology in Bayesian clinical trials.
  • Contribute to novel statistical methodology to improve the design of clinical trials using Bayesian ideas.
  • Collaborate within multi-disciplinary research teams to explain and present key statistical concepts.
  • Develop and maintain code repositories, primarily in the R language.
  • Contribute to the development of manuscripts presenting novel statistical trial designs.
  • Disseminate research through presentations, seminars and workshops.
  • Partake in professional development through attendance at journal clubs and research rounds.

Here’s What You’ll Need

  • A masters or PhD in statistics, biostatistics or related field.
  • Experience with Bayesian statistical methods and software OR a willingness to learn about Bayesian methodology.
  • Strong statistical programming skills in R.
  • Experience with academic writing is desirable.
  • A willingness to learn new concepts and gain research skills.
  • Technical communication skills and a willingness to translate complex statistical concepts to non-specialists.
  • Ability to function independently and collaborate within a team.
  • Strong organizational skills, with the ability to multi-task.

To apply, please combine a cover letter and CV into a single document and upload.

Your cover letter should address the following points (max 700 words)


  • Your motivation for applying for this position
  • Your most relevant experience
  • A description of your long-term career goals

The Hospital for Sick Children Research Institute has a commitment to mainstreaming equity, diversity and inclusion into the day-to-day operations of the SickKids Research Institute by championing diversity in our organization.

Employment Type

1-year contract with opportunities to extend.


Full Time: 35 hours per week

Our Commitment to Diversity

The children and families we care for are from a variety of communities, and so are our employees. We welcome and encourage everyone to join our organization and be part of our team.



When requested, SickKids will provide access and inclusion supports to eligible candidates to support their full engagement during the interview and assessment process. Information received related to access or inclusion will be addressed confidentially.

Thank you for your interest in joining SickKids. Only those applicants selected for an interview will be contacted.



How to Apply

Tip: Combine your cover letter and resume into ONE document of 20 pages or less as you cannot upload multiple documents as part of your application.


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To apply, please visit the following URL: