Biostatistician - Jobs in Toronto, ON

Job Description

The Rotman Research Institute at Baycrest has an opportunity for aKunin-Lunenfeld Centre for Applied Research & Evaluation(KL-CARE) Biostatisticianfor a 1-year contract with the option to renew70 Bi-Weekly Hours| Non-Union | Day ShiftsKL-CARE is a support and services hub focused on working with healthcare professionals, researchers, trainees, and non-profit and commercial partners to facilitate and support clinical, applied, and evaluative research at Baycrest and beyond. The KL-CARE biostatistician duties will include collaborating in statistical design; data cleaning and management; conducting quantitative analyses; analyzing data to develop reports, graphs, and publications; and provide support and consultation to KL-CARE clients. Contingent on applicant experience and qualifications, a Senior Biostatistician role may be discussed.Responsibilities include but are not limited to:

• Provide statistical consultation and mentorship to clinicians, researchers, trainees, and other clients regarding study design and analysis planning;
• Provide expertise and responsible for data management, including extracting data from various data sources, preparing data for analyses (i.e., data cleaning), deriving additional measures to be used for analysis, and advising on data specifications at project initiation;
• In collaboration with other KL-CARE staff, provide input into database design for appropriate data entry and storage;
• Complete quantitative analyses and provide synthesized research results, charts, and graphs for operational and research reports, publications, scientific manuscripts, sample size calculations for grant and ethics applications as required;
• Develop and produce monthly/quarterly/annual reports for stakeholders and ad-hoc reporting for executives and funders.

Qualifications include but are not limited to:

• Completion of a graduate degree in (Bio)Statistics, Epidemiology or recognized equivalent required; a PhD is preferred;
• Expert verbal and written communication skills.
• A Stat. or P.Stat accreditation is also desirable;
• A minimum of 5+ years practical and related experience in applying statistical analysis methods in a healthcare setting and providing statistical methodological consultation and support to clients/stakeholders;
• Knowledge of research methodology, qualitative and quantitative data collection and analysis techniques, statistics, and database development;
• Expert statistical skills, including computational analysis using SAS, R, and/or SPSS
• Capability in manipulation, extraction, linking and analysis of data;
• Experience working with health-based datasets is preferred;
• Expertise collaborating on reports, manuscripts, study proposals and grants;
• Ability to engage, support, and communicate with clients, colleagues, trainees and KL-CARE staff of various research backgrounds in statistical methodology and techniques;
• Ability to develop strong working relationships with clients, partners, and colleagues;
• Demonstrated ability to set priorities and meet deadlines

Date Posted: November 9, 2022Closing Date: November 16, 2022Total Compensation

• Competitive salary and vacation
• Enrolment in Extended Health and Dental Benefit Plan
• Enrolment in the Healthcare of Ontario Pension Plan (“HOOPP”)
• Access to 24/7 Employee Assistance Program

JOIN OUR TEAM: Please submit your application online by clicking the Apply button below.Remarkable people of Baycrest Health Sciencesare changing the future of brain health and aging.Thank you for your interest in joining Baycrest. Only those selected for an interview will be contacted. Baycrest is committed to providing accessible employment practices that are in compliance with the Accessibility for Ontarians with Disabilities Act (‘AODA’). If you require accommodation for disability during any stage of the recruitment process, please notify Human Resources at recruitment@baycrest.org or 416-785-2500, ext. 2961. All successful candidates will be required to complete a police reference check/vulnerable sector screen and submit proof of two doses of vaccination against COVID-19, unless exempt. Such exemptions will be considered on a case-by-case basis.Required SkillsRequired ExperienceQuick Apply

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