Medical Biostatistician at CDL Human Resource

Job Description

• Our client is seeking a talented and motivated Medical Biostatistician to join their team. This role combines biostatistics and data analysis to support clinical quality improvement, operational efficiency, and strategic decision-making within our organization.

Responsibilities

• Statistical Analysis: Perform statistical analysis and programming support for medical research, defining scope, developing analysis plans, and interpreting findings.
• Data Management Extract, clean, and analyze large datasets from EHRs, billing systems, and other healthcare information systems.
• Reporting: Develop and maintain reports, dashboards, and data visualizations for stakeholders.
• Collaboration: Work with clinical and operational teams to define data requirements, establish benchmarks, and monitor progress.
• Consultation: Serve as a statistical consultant to the Quality and Patient Safety Committee.
• Ad-hoc Analysis: Conduct ad-hoc analyses and statistical tests to support research and evidence-baled decision-making.
• Quality Improvement Assist in designing and implementing quality improvement initiatives and patient safety projects.
• Compliance: Ensure data accuracy, integrity, and compliance with regulatory requirements.
• Education and Mentoring: Educate and mentor colleagues in biostatistics, data tools, and analytical methodologies.
• Communication: Communicate findings and insights to diverse audiences, including executives, clinicians, administrators, and external stakeholders.

Requirements

Qualifications

• Education: Bachelor's degree in biostatistics, healthcare informatics, data science, computer science, or a related field required; Master's degree preferred.
• Experience: At least 2 years' experience in healthcare data analysis, performance measurement, or quality improvement within a healthcare setting. S/he should have collaborated with healthcare teams to design robust studies with moderate to complex data sets, applied statistical theories and methods to solve complex medico-legal problems, have utilized statistical software such as R, SAS, or SPSS for data analysis and modeling and provided insights on findings through reports, graphs, and other visual means, reviewed and ensured data integrity and accuracy.
• In clinical research,s/he should have assisted in the publication of research findings ensuring statistical soundness, contributed to the research proposal writing processes with a focus on the statistical design and analysis components, have either developed new statistical methodologies or adapted existing ones to better meet a hospital's research needs through provision of guidance on sample size determination, experimental layout, and data collection methods.
• Skills: Proficiency in data manipulation, analysis, and visualization tools such as SQL, Python, R, Tableau, Power BI, or similar platforms. Strong analytical thinking, problem-solving abilities and Detail-oriented with the ability to translate complex data into understandable and actionable information.
• Knowledge: Knowledge of healthcare terminology, clinical workflows, team-working skills, ability to handle multiple projects simultaneously and regulatory requirements (e.g., JCIA, CMS, Meaningful Use). Experience working with electronic health records (EHRs), claims data, registries, and other healthcare databases.
• Communication: Excellent written and oral communication skills, collaboration, and project management skills. Ability to work independently, prioritize tasks, and meet deadlines in a fast-paced environment. Professional Development Commitment to continuous learning and professional development in the field of healthcare analytics and informatics.