Clinical Programmer at Verona Pharma

Description

Job DescriptionActivities may include, but are not limited to: <ul><li>Build, integrate, and maintain clinical databases and study systems, including transformations, edit checks, reporting, and user testing, while supporting governance of cross‑study programming environments.</li><li>Design, develop, test, and maintain clinical technology systems (EDC, RTSM, eCOA/ePRO) using programming and automation frameworks.</li><li>Implement and validate complex data logic such as edit checks, derivations, and dynamic rules.</li><li>Propose and develop tools to streamline design, build, and validation workflows.</li><li>Apply data literacy to convert collected data into actionable insights.</li><li>Develop advanced reporting solutions, including dashboards and visual analytics, using enterprise platforms.</li><li>Configure, test, and validate data sources for integrations and transformations across systems.</li><li>Collaborate with stakeholders to translate business needs into technical and system requirements.</li><li>Troubleshoot routine data ingestion and consumption issues, escalating non‑standard problems appropriately.</li><li>Develop robust data models, semantic layers, and curated datasets while monitoring pipelines and enforcing quality checks.</li><li>Validate system functionality and ensure adherence to SOPs, regulations, and compliance standards.</li><li>Identify process gaps and contribute to continuous improvement initiatives.</li><li>Maintain audit‑ready documentation for changes, incidents, and system updates.</li><li>Mentor junior colleagues and contribute to onboarding and knowledge sharing.</li><li>Support release management activities, including change control and risk assessment.</li><li>Lead UAT activities, translate requirements into technical specifications, and refine reporting standards.</li><li>Communicate data and technical findings clearly and partner across teams to enable coordinated, high‑quality delivery.</li></ul> Education<ul><li>B.A. or B.S. degree (or current student), preferably in Biotechnology (primary focus). Candidates from Computer Science, healthcare‑related disciplines, or those with relevant skills and experience may also be considered.</li></ul>Experience<ul><li>Minimum of 3 years experience working in in clinical data programming, data engineering, or related data-management/clinical operations functions.</li></ul>Technical Skills <ul><li>Proficiency in multiple programming languages (SQL, Python, SAS, R) for implementing data collectors, integrations, transformations, and reporting.</li><li>Skilled with key data‑management tools and platforms, with the ability to adopt new technologies with guidance.</li><li>Able to execute technical tasks independently on straightforward work, seeking moderate guidance for non‑standard activities.</li><li>Experienced in scripting and automating data ingestion, cleaning, and reporting processes.</li><li>Strong understanding of clinical data flow across the study lifecycle (collection, processing, review, reconciliation, reporting).</li><li>Familiarity with clinical and regulatory data standards, clinical operations, and typical clinical trial data structures.</li><li>Knowledge of SDLC and validation practices, including change control, release checklists, and traceability.</li><li>Understanding of GCP, data integrity, audit‑ready documentation, and UAT/sign‑off procedures.</li><li>Experience optimizing reporting performance and applying data quality controls.</li><li>Ability to link business needs to technical deliverables using standard procedures.</li><li>English proficiency of at least B2+ level.</li></ul>Soft Skills<ul><li>Prioritizes tasks, meets deadlines, and maintains clear, organized documentation.</li><li>Communicates effectively with technical and business partners, adapting style to the audience.</li><li>Works independently with minimal guidance, using data to triage issues and proactively flag risks with recommended options.</li><li>Collaborates well across functions, facilitates small working sessions, and follows through on action items.</li><li>Builds strong cross‑functional relationships and remains open to feedback.</li></ul>Required Skills: Adaptability, Clinical Data Cleaning, Clinical Data Management, Clinical Informatics, Clinical Medicine, Clinical Trial Documentation, Clinical Trials, Computer Science, Customer-Focused, Data Analysis, Database Development, Data Engineering, Data Literacy, Data Processing, Data Quality Assurance, Data Review, Data Validation, Data Visualization, Electronic Data Capture (EDC), Learning Agility, Pharmacovigilance, PL/SQL (Programming Language), Release Management, Standards CompliancePreferred Skills: Current Employees apply <a target="_blank" href="https://wd5.myworkday.com/msd/d/task/1422$6687.htmld">HERE</a>Current Contingent Workers apply <a target="_blank" href="https://wd5.myworkday.com/msd/d/task/1422$4020.htmld">HERE</a>Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: RegularRelocation:No relocationVISA Sponsorship:NoTravel Requirements:No Travel RequiredFlexible Work Arrangements:HybridShift:Not IndicatedValid Driving License:NoHazardous Material(s):noJob Posting End Date:02/28/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

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