Clinical Data Specialist

Job Responsibility:

The Lunenfeld-Tanenbaum Research Institute (LTRI) of Mount Sinai Hospital, a University of Toronto affiliated research centre, is one of the world's leading centres in biomedical research. With ground-breaking discoveries in research areas such as diabetes, genetic disorders, cancer and women's and infants' health, the Institute is committed to excellence in health research and the training of young investigators. Strong partnerships with the clinical programs of Mount Sinai Hospital ensure that scientific knowledge is used to promote human health. Your significant contributions will assist in maintaining our momentum in advancing our research. Job Summary

Lunenfeld-Tanenbaum Research Institute is seeking a skilled and dedicated Clinical Data Specialist (REDCap) to support the PRECISE study. The ideal candidate will have extensive experience in database management, programming, and clinical research with advanced knowledge of REDCap. This position will play a crucial role in ensuring data integrity, optimizing data collection processes, generating custom reports, charts and supporting research teams in achieving high-quality data outputs. Key Responsibilities

• Electronic CRF Development: Create electronic case report forms (CRFs) on REDCap and assist research teams in optimizing their forms to maintain the highest data quality.
• Database Management: Develop, implement, and maintain REDCap databases to support research and clinical data management needs. Proficient in designing and managing databases that enable comprehensive search capabilities by different categories
• Training and Support: Onboard and train research staff to follow best practices in data entry, management, and extraction.
• Instrument Development: Coordinate the development of (and/or develop and program) data collection instruments, surveys, and reporting tools within REDCap.
• Performance Monitoring: Monitor database performance, troubleshoot issues, and implement improvements to enhance efficiency, reliability, and user experience.
• Data Quality Assurance: Perform frequent audits, monitor data for missing and/or erroneous entries, and ensure the highest level of database integrity.
• Data Cleaning and Manipulation: Execute advanced data cleaning and manipulation tasks to support research goals.
• Data Analytics and Visualization: Provide principal investigators (PIs) and research teams with custom reports and data visualizations for publication articles.
• Database Documentation: Develop and maintain comprehensive documentation for databases, including data dictionaries, user guides, and SOPs, to ensure consistency, reproducibility, and ease of use for research teams.
• Data Security and Privacy: Ensure databases comply with security and privacy standards (e.g., HIPAA, GDPR) and promote adherence to best practices through training.

Job Requirements

Skills and Qualifications

• Education: Bachelor's degree in Science, Life Sciences, Health Informatics, or a related field with Masters/advance courses/certifications in Clinical Data Management. Must have prior experience working on large healthcare datasets and a background in medical, healthcare, or life sciences. Candidates with Masters degree focused on Healthcare Research with extensive hands-on experience on REDCap, Access, SQL, R will be preferred.
• Experience: Minimum of 3 years of experience in REDCap and 5 years in database management
• Technical Skills:
  • Strong understanding of database design and management principles.
  • Proficiency in data security and compliance within a healthcare setting.
  • Experience with programming languages, automated export procedures and integrating REDCap with tools like SQL, Python or R.
• Clinical Research Knowledge: Familiarity with clinical research methodologies and regulatory requirements is a plus. Experience with longitudinal and cross-sectional study designs is highly valued.
• Soft Skills:
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and interpersonal skills to work effectively with diverse healthcare professionals.
• Data Analytics: Prior experience in data analytics (eg. SPSS, STATA) particularly in multi-center studies, data visualization (eg. PowerBi, R), and generating actionable insights for research publications.

Application Instruction The Lunenfeld-Tanenbaum Research Institute is committed to equity, diversity, and inclusion, and welcomes applications from all qualified individuals, including those from underrepresented communities. We offer a competitive salary, as well as opportunities for professional development and growth. If you are passionate about clinical or discovery research and infectious disease and are looking for a challenging and rewarding opportunity, please apply today. To apply, please submit your cover letter and CV to Interfolio: In accordance with Institute's policy and legislated health and safety requirements, employment is conditional upon the verification of credentials, completion of a health review, and demonstrating proof of immunity and vaccination status of vaccine-preventable diseases. Successful candidates will be required to provide two (2) written reference letters from their former employer(s)/supervisor(s). We are a fully committed to fairness and equity in employment and our recruitment and selection practices. We encourage applications from Indigenous peoples, people with disabilities, members of sexual minority groups, members of racialized groups, women and any others who may contribute to the further diversification of our Sinai Health community. Accommodation will be provided in all parts of the hiring process as required under our Access for People with Disabilities policy. Applicants need to make their requirements known in advance. The Lunenfeld-Tanenbaum Research Institute is a scent sensitive environment and all members of the community are expected to refrain from wearing or using scented products while visiting or working at the Institute. We also support a barrier-free workplace supported by the Institute's accessibility plan, accommodation and disability management policies and procedures. Should you require accommodation at any point during the recruitment process, including accessible job postings, please contact the Lunenfeld-Tanenbaum Human Resources Department.