{"id":3387180,"url":"https://alion.io/job/icon-clinical-data-scientist","title":"Clinical Data Scientist","company":{"id":5677,"name":"ICON","domain":"iconplc.com","url":"https://alion.io/company/icon","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":46,"ghost_share":0,"stale_share":0.978,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Reading, United Kingdom","Paris, France","Madrid, Spain","Utrecht, Netherlands","Bucharest, Romania","Frankfurt am Main, Germany","Warsaw, Poland","Johannesburg, South Africa"],"countries":["GB","FR","ES","NL","RO","DE","PL","ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":63000,"max_usd":125000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":52},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CDISC","optional":false},{"name":"ggplot2","optional":false},{"name":"Plotly","optional":false},{"name":"Shiny","optional":false},{"name":"Python","optional":true},{"name":"R","optional":true},{"name":"SAS","optional":true}],"status":"live","first_seen_at":"2026-10-27T00:00:00Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-31T07:25:01Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Clinical Data ScientistAt ICON Strategic Solutions, you will work in a sponsor-dedicated model, supported by ICON’s global expertise.\nAs the world’s largest FSP organisation, with over 90 sponsor partnerships, we offer stability, career development and a collaborative environment where your work contributes to the development of treatments that benefit patients worldwide.\nWe are seeking a highly skilled Clinical Data Scientist/Senior Statistical Programmer with extensive experience in R Shiny application development and a strong background in clinical trial data standards. This role is ideal for someone who enjoys building user-centric analytical tools, transforming complex datasets into intuitive interactive dashboards, and driving high-quality statistical outputs in accordance with industry standards.\nYou will collaborate closely with statisticians, data managers, clinical programmers, and project leads to design, develop, and maintain innovative R-based solutions that support study monitoring, data review, and analytical insight generation across clinical development programmes.\nKey Responsibilities\nDesign, build, and maintain R Shiny applications for clinical study monitoring, data visualization, safety review, and exploratory analysis.\nDevelop modular, scalable, and well-documented R code following best practices.\nCreate interactive dashboards, visualizations, and bespoke analytical tools for cross-functional teams.\nOptimize Shiny app performance, security, and usability for deployment in regulated environments.\nEnsure all deliverables comply with CDISC standards, regulatory guidance, and internal SOPs.\nAct as a subject matter expert (SME) for R and R Shiny within the team.\nMentor junior programmers and contribute to knowledge-sharing initiatives.\nParticipate in study meetings, providing technical insights and programming expertise.\nInfluence best practices, pipelines, and automation strategies for modernizing statistical workflows.\nEssential Requirements\n5+ years of experience as a Statistical Programmer within the pharmaceutical/biotech/CRO industry.\nStrong clinical data experience, including CDISC (SDTM & ADaM) and TLF production.\nR Shiny experience, including: end-to-end app development, UI/UX design, dashboard visualizations (ggplot2/plotly), performance optimization and debugging.\nBachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, or a related field.\nDesirable Skills\nExperience with Python, SAS, or other analytical tools.\nFamiliarity with pharmacovigilance or safety review workflows.\nExperience with Real World Evidence data.\nExperience deploying R Shiny apps (Shiny Server, Posit Connect, etc.).\nExposure to automation, data engineering, or cloud environments.\nWhat We Offer\nOpportunity to lead innovation in R-based analytics.\nCollaborative and forward-thinking team environment.\nCompetitive salary and benefits package.\nCareer development and access to modern tools and training.\nAbility to influence strategy around R Shiny and data visualization initiatives.\nEmployment with ICON is contingent upon having the legal right to work in the country where the role is based.\nRewards & Benefits\nICON offers a competitive and comprehensive total rewards package designed to support your health, wellbeing, and career development.\nBenefits may include:\nCompetitive base salary and performance related incentives\nHealth and wellbeing programmes including medical, dental, and vision coverage where applicable\nRetirement and pension plans\nLife assurance and disability coverage\nEmployee assistance programmes and wellbeing resources\nLearning and development opportunities through structured training and career pathways\nBenefits may vary depending on role and location.\nVisit our careers site to read more about the benefits ICON offers.\nInclusion and Accessibility\nICON is an equal opportunity employer. We are committed to building an inclusive and accessible workplace where everyone feels valued and supported.\nIf you require reasonable accommodations during the recruitment process, please let us know or submit a request here.\nAre you a current ICON Employee? 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