United States
Lead the clinical analytics team to develop and execute a clinical data strategy that supports the R&D and market launch of the company's precision medicine products. Oversee clinical data management, data quality assurance, and analysis processes to ensure compliance with regulatory requirements such as FDA and HIPAA. Drive the development and optimization of clinical data platforms and analytics tools to improve data processing efficiency and reporting accuracy. Work closely with clinical operations, R&D, bioinformatics, and commercial teams to provide data-driven insights to guide clinical trial design and product decisions. Lead cross-functional projects to automate and integrate clinical data, improving team collaboration and data utilization efficiency. Mentor and develop clinical analytics team members, fostering talent development and team capacity building. Represent the company in regulatory reviews, investor communications, and industry conferences, showcasing clinical analytics capabilities and results.
Lead clinical and genomic data analysis efforts, leveraging advanced genomic sequencing technologies to support research and product development. Manage and integrate complex biological and clinical datasets derived from Hi-C proximal ligation and metagenomic sequencing workflows. Design and implement data processing workflows to ensure the data quality, consistency, and accuracy required for downstream genomic analysis and research insights. Work closely with R&D, bioinformatics, and software teams to transform raw sequencing data into meaningful biological and clinical interpretations. Develop visualizations and reports to clearly communicate analytical results to research teams, stakeholders, and collaborators. Provide technical guidance and mentorship to junior data analysts to ensure best practices in data cleaning, validation, and documentation. Participate in cross-functional discussions on data standards, experimental design, and improvements to computational tools to drive more robust genomic solutions.
Lead the clinical data analytics team, responsible for data management and analysis across multiple key clinical projects. Design and optimize data processing workflows to improve data accuracy and analytical efficiency, supporting clinical trials and medical decision-making. Coordinate cross-departmental collaborations to promote data integration and standardization, ensuring compliance with regulatory requirements. Train and mentor new team members to improve the overall skill level and efficiency of the team. Participate in the development of technical solutions for key projects, promoting the application of data analytics technologies in clinical research.
Responsible for the collection, organization, and analysis of clinical data, ensuring its accuracy and completeness. Design and maintain data processing workflows to ensure that clinical trial and medical program data comply with relevant standards and regulations. Integrate data from Electronic Health Records (EHRs), clinical trial databases, and other systems. Develop data cleaning and validation tools to improve data quality and analytical efficiency. Collaborate with statisticians, clinical teams, and IT departments to support clinical research and decision-making. Mentor and train junior data analysts to foster team collaboration and skills development. Create reports and visualization dashboards to help management and researchers understand key data metrics.
Promoted to a senior role in recognition of strong performance in clinical data analysis and cross-functional collaboration. Led data analysis activities for multiple observational studies and early-phase clinical research projects, with increased responsibility for study-level data strategy, quality oversight, and analytical planning. Served as a key analytical partner to clinical investigators, supporting study design discussions, defining analysis plans, and ensuring accurate interpretation of results.
Provide support for clinical and early-stage translational research projects to regional healthcare institutions and biotechnology clients. Responsible for clinical data cleaning, exploratory analysis, and statistical reporting in observational and early-stage clinical studies. Work closely with clinical researchers to translate research objectives into structured datasets and analytical results. Assist in developing research protocols, reviewing data quality, and interpreting research results to provide evidence for regulatory agencies and internal research.