Clinical Research Data Analyst, Translational Medicine

Dedicated exclusively to children and their families, The Hospital for Sick Children (Sick Kids) 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.

Sick Kids 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 Sick Kids, 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.

We are looking for a Clinical Research Data Analyst who will work closely with our research team to maintain and oversee our clinical research database, lead data extraction and quality assurance activities, prepare and integrate datasets from trials within the database, and perform statistical analyses to support clinical research projects, manuscripts, grant applications and reporting. Our clinically embedded research team is interested in promoting the use of human milk, including donor human milk, in very low birth weight infants to reduce morbidity and improve their growth and development:

• Maintain and oversee the team's clinical trial research database, including data structure management, user access controls, data dictionaries, and documentation.
• Merge data from multiple trials within the database, perform data extraction, cleaning, validation, and quality assurance to ensure data accuracy, completeness, and integrity.
• Identify, investigate, and resolve data discrepancies, missing data, and inconsistencies in collaboration with research staff.
• Create and maintain analysis-ready datasets to support research studies, manuscripts, presentations, and grant applications.
• Develop and maintain SQL queries and reproducible analytical workflows to support ongoing research activities.
• Conduct statistical analyses and generate tables, figures, and summary reports to support study objectives and research dissemination.
• Collaborate with investigators, research coordinators, trainees, and statisticians to support study design, data collection, analysis, and interpretation.

• Graduate degree in data science, or a related quantitative field, or equivalent experience.
• Experience supporting quantitative clinical or health research, including the application of appropriate statistical methods.
• Experience with data management, cleaning, manipulation, and the creation of reproducible analytic datasets.
• Experience working with large and complex health or administrative datasets; experience with electronic health record data is preferred.
• Strong proficiency in SQL and in statistical programming using R and/or SAS
• High level of precision and attention to detail, with the ability to work independently on complex analytic tasks.
• Excellent communication, organizational, and time-management skills.
• Ability to work collaboratively and develop strong working relationships with multidisciplinary research team members.
• A commitment to understanding and supporting equity, diversity, and inclusion objectives.

0.2 FTE for one year with possibility of renewal.

Sick Kids is committed to championing equity, diversity and inclusion in all that we do, fostering an intentionally inclusive and culturally safe environment that reflects the diversity of the patients, families and communities we serve. Learn more about workplace inclusion.

If you require accommodation during the application process, please reach out to our aSKHR team. Sick Kids can provide access and inclusion supports to eligible candidates to support their full engagement during the interview and selection process as well as to ensure candidates are able to perform their duties once successfully hired. If you are invited for an interview and require accommodation, please let us know at the time of your invitation to interview.

Information received related to access, inclusion or accommodation will be addressed confidentially.

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