Manager/ Senior Data Manager, CADENCE

The Consortium for Clinical Research and Innovation, Singapore (CRIS) brings together seven national R&D, clinical translation and service programmes to advance clinical research and innovation for Singapore, and establish important capabilities for a future-ready healthcare system. The Business Entities under CRIS include: Singapore Clinical Research Institute (SCRI) Advanced Cell Therapy and Research Institute, Singapore (ACTRIS) Cardiovascular Disease National Collaborative Enterprise (CADENCE) Together, CRIS makes a positive difference to Singapore patients and researchers by ensuring that these clinical research platforms and programmes are at the cutting edge of capability development and innovation. If you are as passionate as we are in clinical trials and research, we want you CADENCE The Cardiovascular Disease National Collaborative Enterprise (CADENCE) is a national program for Cardiovascular Research that aims to strengthen the overall impact of cardiovascular research and translation in Singapore through: (1) synergising efforts across Singapore through the establishment of Joint Platforms to improve patient outcomes and establish Singapore as a global leader in cardiovascular disease (CVD) research; (2) overcoming common barriers to research at the systems level; (3) driving commercialisation efforts; and (4) demonstrating the power of these synergies through a series of practice-changing Use Cases. CADENCE will be housed as a business unit within the Consortium for Clinical Research and Innovation Singapore (CRIS), a wholly‑owned subsidiary of the Ministry of Health Holdings (MOHH) Pte Ltd and anchored by the CVD research programmes and commercialization platforms of partner institutions (MOHT, NHCS & NHRIS, NUHCS & CVRI, NHG Heart Institute, KTPH, A*STAR, NUS, Duke-NUS, LKC). What you will be working on To support grant application processes including budget development and financial planning, coordinate submission of data governance and regulatory approvals. To develop comprehensive project frameworks outlining project scope, key deliverables, and workflow sequences required for successful project execution. Assess resource requirements and establish realistic project timelines whilst ensuring technical viability and establish clear success criteria for project completion. To perform periodic project evaluations comparing planned objectives against actual outcomes, identify deviations from expected results, and implement appropriate preventive measures and corrective strategies to address project challenges and ensure successful delivery. To assist in statistical design, analysis, and reporting for cardiovascular and population health studies using data accessed through TRUST, HELIX, and regional research collaborations, ensuring proper data preparation and quality assurance for analytical processes. To support the development and implementation of Statistical Analysis Plans (SAPs) by preparing and validating datasets for clinical, epidemiological, and real‑world data studies whilst maintaining data integrity throughout the analytical pipeline. To collaborate with cross‑disciplinary teams including clinicians, data scientists, biostatisticians, and health economists to provide data management expertise and ensure seamless data flow for integrated research efforts. To establish and maintain detailed documentation for all data management activities including data dictionaries, standard operating procedures, data flow diagrams, and audit trails to ensure regulatory compliance and data traceability. To assist in translating complex data structures and findings into clear documentation for publications, grants, and policy reports whilst ensuring all data management processes comply with governance, ethics, and data privacy standards. To provide technical guidance to junior data management staff and analysts, coordinate training programmes on data management best practices, and manage relationships with external data service providers and consultants. To attend meetings and respond to requests from senior management involving participating hospitals, research institutions, and regulatory agencies regarding data management matters. Job Requirements Master's or PhD Degree in Bioinformatics, Biomedical Science, Health Informatics, Data Science, Statistics, Computer Science, or equivalent qualification with focus on data management and statistical analysis. Strong leadership and interpersonal skills to effectively manage relationships with clinical teams, researchers, biostatisticians, IT partners, and regulatory bodies. Demonstrated experience in supervising and mentoring junior staff is highly desirable. Good written and verbal communication skills with ability to present complex data concepts to both technical and non-technical audiences, including regulatory authorities and senior management. Proficiency in statistical programming languages (R, Python), data visualisation tools, and Microsoft Office Suite. Experience with secure national data environments (TRUST, HELIX) preferred. Minimum 3‑5 years of relevant experience in data management, healthcare analytics and statistical data preparation. Experience with cardiovascular research data and national healthcare programmes will be advantageous. What you need to know Successful candidate will be offered a 2‑year renewable contract. We regret that only shortlisted candidates will be contacted. CRIS – SCRI – NHIC – ACTRIS – PRECISE – STCC – CADENCE – #J-18808-Ljbffr