• Develop scoring rules & program algorithms for COA measures • Provide statistical support for new COA measures & endpoints • Collaborate with data scientists on digital measure validation • Participate in thought leadership and publish research papers

• Perform data extraction, cleaning, validation, transformation, and maintenance across multiple data sources. • Conduct statistical analyses and quantitative data mining to identify trends, patterns, anomalies, and other meaningful insights. • Develop reports, dashboards, summaries, and visualizations to communicate analytical findings. • Compile, validate, interpret, and present data to support operational and business objectives. • Perform statistical programming and data analysis using analytical software and programming languages. • Design and execute database queries to retrieve and analyze data from large datasets. • Prepare clear, concise, and accurate reports, memoranda, data files, and presentations for internal and external stakeholders. • Communicate analytical methods, assumptions, and results to both technical and non-technical audiences. • Support internal quality reviews, audits, and data validation activities. • Participate in team projects, methodology discussions, and continuous process improvement initiatives. • Stay current on statistical methods, healthcare industry trends, data analytics technologies, and applicable regulations. • Perform ad hoc analyses and other duties as assigned. • Maintain compliance with all applicable privacy, security, and confidentiality requirements. • Adhere to IntegrityM policies and client requirements governing the protection of sensitive information.

• Perform standard non-compartmental pharmacokinetic analyses for Phase I clinical studies • Generate and review PK parameters including Cmax, Tmax, AUC, and half-life • Contribute to PK tables, listings, figures, and summary outputs for clinical study reports • Support analyses across SAD, MAD, and food-effect study designs • Assist with dose proportionality and exploratory PK comparisons where required • Ensure appropriate handling of below-quantification-limit (BQL) data according to SAP guidance • Conduct independent quality control of PK datasets and analysis outputs • Peer review analyses performed by other statisticians or programmers • Document QC findings clearly and support issue resolution in line with SOPs and good statistical practice • Review PK components of protocols and SAPs to confirm feasibility and internal consistency • Ensure analyses are performed according to specifications and document any assumptions or deviations • Support resolution of PK-related analytical queries • Work closely with bioanalytical, clinical pharmacology, clinical operations, and biometrics teams • Support integration of PK outputs into clinical study reports alongside safety and tolerability data • Liaise with programmers, statisticians, and medical writers to ensure traceability and consistency of deliverables • Participate in scientific discussions with internal teams and external sponsors as required • Support knowledge sharing related to PK analysis best practice • Contribute to development and improvement of PK analysis and QC workflows

• Responsible for the application of biostatistical methods to support clinical trials and data management, including statistical planning, design, analysis, and reporting throughout the project life cycle in accordance with project, organizational and regulatory standards. • Act as subject matter expert, providing statistical support to project teams, quality/study auditors, and external stakeholders. • Participate in the promotion of Alimentiv as a global research organization, by contributing to the development, publishing, and reporting of project data. • Lead and develop a group of statisticians and SAS Programmers.