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STATISTICAL ANALYST (III) - Jobs in Hamilton, ON

Job LocationHamilton, ON
EducationNot Mentioned
SalaryNot Disclosed
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypeFull Time

Job Description

Schedule Monday - Friday, 8:30 - 4:30Education Level PhDCareer Level Experienced (non manager)Job DescriptionUnit/Project Description:The Population Health Research Institute is a joint institute of Hamilton Health Sciences and McMaster University, Department of Medicine. The Population Health Research Institute is a highly successful and high profile research group which conducts research in 102 countries targeting at improving the health of people around the world. The PHRI currently employs over 300 staff members and over 60 scientists. Currently the PHRI is conducting over 100 ongoing clinical trials and epidemiology studies. The statistical staff supports all ongoing studies, as well as the publication of the results of studies that are already closed, targeting high impact journals, with over 350 manuscripts published every year (during the most recent years).Job Summary:Responsible for the development of new statistical methods and the design of computer programs to perform statistical analyses. Also responsible for the application of complex statistical and technical skills toward the collection, analysis, and translation of statistical data for a variety of research projects. Conducts statistical research and analysis and compiles and interprets statistical records and reports for a variety of research projects. Works under general direction within a clear framework of accountability and exercises substantial personal responsibility and accountability to deliver results. Provides lead hand supervision to other staff.Purpose and Key Functions:Develop new statistical methods and strategies to cope with the absence or failure of existing mathematical procedures.Design and write computer programs to perform statistical analyses.Develop estimates of time and resources for various projects.Apply established statistical methods and techniques to analyze and interpret data.Identify the appropriate method of statistical analysis and apply statistical techniques to interpret data.Compile and analyze data and interpret trends, fluctuations, and other changes that may emerge.Develop forms and procedures required for the collection and compilation of data.Devise and implement administrative procedures for the collection of data.Oversee the design and maintenance of databases, data collection forms, error checking methods, and related programs for collection, analysis, and reporting.Design database specifications and modify existing software packages to meet specific research project needs.Document new designs, codes, and modifications.Develop test cases and test system upgrades and enhancements.Write sections of scientific papers, funding proposals, grants, and abstracts.Identify and resolve database and software problems.Conduct data audits, compile results, analyze and summarize audit findings.Coordinate and manage the collection, delivery, entry, verification, analysis, and reporting of data.Provide advice regarding data collection and analysis required for research projects.Recommend modifications to processes related to data collection and data entry conventions and develop implementation plans.Apply specialized knowledge and scientific principles to review, critically appraise and interpret published literature.Research pertinent literature in a designed project area and analyze the applicability of the concepts.Review case report forms, determine possible protocol deviations, discrepant data, and inconsistent reporting.Facilitate meetings and prepare recommendations on statistical and reporting strategies.Exchange information with colleagues and statistical experts.Explain statistical approaches to others who do not have the equivalent knowledge in statistical methods.Develop and deliver presentations and training sessions.Safeguard the confidentiality of study data.Supervision:Provide lead hand supervision and is responsible for the quality and quantity of work of others.Requirements:Doctoral degree in a relevant field of study.Requires 2 years of relevant experience.Assets:A PhD in biostatistics or statistics is required. Extensive experience in randomised clinical trials, including DSMB reporting is required. Experience with industry-sponsored trials is an asset. Experience with large databases in biomedical or a related field essential. Proven supervisory experience essential. Strong applied statistical and computing skills using SAS in a UNIX Environment. Strong communication skills, both oral and written are required. Strong problem-solving skills and the ability to work in a collaborative group are required.How To ApplyTo apply for this job, please submit your application online.Employment Equity StatementMcMaster University is located on the traditional territories of the Haudenosaunee and Mississauga Nations and within the lands protected by the “Dish With One Spoon” wampum agreement.The diversity of our workforce is at the core of our innovation and creativity and strengthens our research and teaching excellence. In keeping with its Statement on Building an Inclusive Community with a Shared Purpose, McMaster University strives to embody the values of respect, collaboration and diversity, and has a strong commitment to employment equity.The University seeks qualified candidates who share our commitment to equity and inclusion, who will contribute to the diversification of ideas and perspectives, and especially welcomes applications from indigenous (First Nations, Métis or Inuit) peoples, members of racialized communities, persons with disabilities, women, and persons who identify as 2SLGBTQ+.As part of McMaster’s commitment, all applicants are invited to complete a confidential Applicant Diversity Survey through the online application submission process. The Survey questionnaire requests voluntary self-identification in relation to equity-seeking groups that have historically faced and continue to face barriers in employment. Please refer to the Applicant Diversity Survey - Statement of Collection for additional information.Job applicants requiring accommodation to participate in the hiring process should contact:Human Resources Service Centre at 905-525-9140 ext. 222-HR (22247), orFaculty of Health Sciences HR Office at ext. 22207, orSchool of Graduate Studies at ext. 23679to communicate accommodation needs.Quick Apply

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