About the role

The Clinical Data & Statistical Technology Specialist designs, manages, and modernizes clinical data collection and analysis-ready data workflows for nutrition clinical studies. This role bridges Clinical Operations, Data Management, Biostatistics, Medical Science, and external partners to ensure study data are high quality, traceable, compliant, and ready for statistical analysis and reporting. The role has evolved beyond traditional clinical database design to include applied statistical support, data governance, vendor oversight, and responsible use of approved automation, AI-enabled workflows, dashboards, and analytics tools.

Your responsibilities

• Design and maintain clinical data systems: Translate protocols, endpoints, and statistical analysis requirements into eCRFs, database structures, edit checks, validation rules, visit schedules, data transfer specifications, and data review plans.
• Support statistical analysis readiness: Partner with the Statistician to prepare, review, and validate analysis-ready data extracts, listings, descriptive summaries, reconciliation outputs, derivation logic, outlier checks, missing data checks, and other quality control outputs.
• Drive data quality and compliance: Coordinate data review, discrepancy management, external data reconciliation, database lock readiness, audit-ready documentation, controlled terminology, metadata, data lineage, access, retention, and version control in alignment with ICH-GCP, data privacy, security, and SOP expectations.
• Enable technology, automation, and AI: Identify and maintain approved tools, dashboards, automated checks, data quality monitoring approaches, and AI-assisted workflows that improve efficiency, consistency, scalability, and insight generation while preserving validation, documentation, human oversight, and auditability.
• Manage vendors and external data flows: Provide oversight of CROs, EDC vendors, external laboratories, ePRO/eCOA providers, wearables, and other data providers to ensure data transfers, quality checks, issue resolution, and timelines are managed effectively.
• Strengthen standards and knowledge continuity: Maintain and improve standards, templates, data dictionaries, validation checklists, reusable code or automation libraries, training materials, and best practices that reduce rework and support consistent study execution.

The experience we're looking for

• Bachelor's degree in a quantitative or health-related field (e.g., statistics, data science, clinical research) required; Master's preferred or equivalent experience considered.
• Demonstrated training or applied experience in biostatistics, statistical methods, epidemiology, or clinical data analysis.
• Minimum 3 years of experience in clinical data management, database design, statistical programming support, analytics, or clinical research (healthcare/pharma preferred).
• Working knowledge of clinical trial processes, including eCRF design, database build, data cleaning, endpoint collection, database lock, and study reporting.
• Understanding of statistical concepts for clinical research, including data structures, analysis populations, derived variables, summaries, and quality control.
• Proficiency with EDC/CDMS platforms, SQL, and at least one analytical tool (e.g., SAS, R, Python).
• Familiarity with regulatory standards and practices, including ICH-GCP, data integrity, privacy/security, and SOP-driven environments.
• Strong analytical, communication, and organizational skills; ability to manage multiple priorities, collaborate cross-functionally, and meet deadlines.

The skills for success

Task Execution Under Pressure, Makes strategic Business Decisions, Business accumen, Commercial Awareness, Objective Setting, Accountability, Consumer Insight, Creative Direction, R&D, Change Leadership, Product Lifecycle Management, Business Partnership, Collaboration and partnership building, Relationship Management, Adapt to changes in technological development plans, Ability to challenge the status quo and propose improvement, Innovation Processes, Digital transformation for R&D, Quality and Manufacturing.

What we offer

With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way.We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy.

Salary Range

USD $99,000.00 - $149,000.00

Pay Transparency

The base salary range for this role will vary based on experience in job and industry, training and education, skills relevant to the position, and other factors permitted by law. In addition to the base salary, the position is eligible for an annual discretionary bonus, which is subject to change each year.Reckitt offers eligible employees competitive benefits including medical, prescription, dental, vision, and life and disability insurance; paid time off for vacation, sick and Company recognized holidays; a 401(k) plan; 16-week paid parental leave or 26 weeks for the birthing parent; adoption and fertility support; tuition reimbursement; discounts; and much more. Our compensation and benefits packages aim to give our talent the reward, protection, and peace of mind they deserve.