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ICON plc

Statistical Analyst

ICON plc

. Support study start-up activities, providing input on study design, protocols, and case report forms .

Posted 10/6/2026full-timeBengaluru • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong expertise in statistical programming, particularly in SAS, with a solid understanding of CDISC standards and experience in clinical trial deliverables. Capable of collaborating effectively with cross-functional teams to produce high-quality statistical analyses and reports.

Highest-signal resume keywords
SAS ProgrammingStatistical Analysis PlansCDISC StandardsStatistical Programming ExperiencePinnacle 21 (P21)

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Statistical ProgrammingSample Size CalculationsPower CalculationsStatistical ProceduresMacros DevelopmentData ValidationSurvival AnalysisRepeated MeasuresProgramming Code MaintenanceTable Shells Creation
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication SkillsCollaboration Skills
Tools & Technologies
SAS/GraphPinnacle 21 (P21)R Programming
Industry Keywords
Pharmaceutical IndustryBiotechnology IndustryCRO IndustryClinical TrialsCDISC Compliance

About the role

Key responsibilities & impact
  • Support study start-up activities, providing input on study design, protocols, and case report forms
  • Write statistical methods sections of study protocols, including sample size and power calculations, with oversight
  • Assist in developing statistical analysis plans and create table shells
  • Review database specifications and lead the initial review of raw variables
  • Develop written specifications for derived variables from oral descriptions
  • Program basic and specialized statistical procedures, including repeated measures and survival analysis, using SAS/Graph
  • Create complex macros for efficient group use
  • Develop project reports, graphs, and tables with close oversight
  • Collaborate with cross-functional teams to deliver high-quality statistical analyses

Requirements

What you’ll need
  • 4+ years of statistical programming experience within the pharmaceutical, biotechnology, or CRO industry
  • Strong hands-on expertise in SAS programming, with experience supporting clinical trial deliverables and statistical analyses
  • Basic knowledge, training, or exposure to R programming, with a willingness to expand proficiency in a clinical research environment
  • Comprehensive understanding of CDISC standards, including SDTM and ADaM
  • Experience developing, validating, and maintaining production-quality programming code
  • Experience using Pinnacle 21 (P21) for CDISC compliance checks and data validation
  • Excellent analytical, problem-solving, and communication skills, with the ability to collaborate effectively across cross-functional teams
  • Legal right to work in the country where the role is based

Benefits

Comp & perks
  • Competitive base salary and performance related incentives
  • Health and wellbeing programmes including medical, dental, and vision coverage where applicable
  • Retirement and pension plans
  • Life assurance and disability coverage
  • Employee assistance programmes and wellbeing resources
  • Learning and development opportunities through structured training and career pathways