Parexel is hiring a Bioinformatics Scientist (Precision Medicine / Quantitative Biomarker Sciences) to perform biomarker and proteomic data analysis, maintain and optimize data processing pipelines, perform quality control, and build interactive data viewers (RMarkdown/Quarto/Shiny). The role supports cross-study integration, follows regulated processes, and involves collaboration across cross-functional teams in clinical research.

Remote EMEA role supporting a sponsor on quantitative bioinformatics tasks including running and optimizing pipelines, data and results QC, updating figures/analysis, refreshing RMarkdown/Quarto/Shiny viewers, and contributing to cross-study data integration and AI-assisted code/prompt libraries. Requires 2+ years programming experience (preferably in life sciences), familiarity with R/R Shiny, bash, git, and basic statistical modeling; BS required (MS a plus).

Remote role (must live and have right to work in UK, France, Spain, Romania, Serbia, Lithuania, or Poland). Responsibilities include running, monitoring and maintaining biomarker analysis pipelines and internal R packages, data operations and QC, harmonizing heterogeneous biomarker data, supporting reproducibility and deliverable tracking, and contributing to AI-assisted code/prompt libraries. Requires 2+ years programming experience (life sciences/clinical trial data preferred) and a BS in a related field; technical skills include R, R Shiny, bash, git, SQL/PostgreSQL, ETL, and familiarity with statistical modeling and QC practices.

Provide methodological and statistical support across real-world data projects (EHR, claims, registries). Responsibilities include sample size/power calculations, drafting statistical sections of protocols, developing SAPs, statistical programming for tables/listings/figures, QC of TLFs, and contributing to clinical study reports. Requires 2-4 years' experience, a relevant master's degree, and skills in SAS, R, SQL and/or Python.

Parexel is hiring a Data Surveillance Analyst to support Data Surveillance Plans and conduct central data reviews using tools such as CluePoints. Responsibilities include creating data import mappings, setting up KRIs and statistical parameters, reviewing project data against Quality Tolerance Limits, documenting findings in issue management systems, and presenting findings to project teams. Requirements: university degree in a relevant field, fluent English, basic SAS experience, familiarity with RBQM and centralized monitoring, basic SDTM knowledge, and proficiency with CTMS/EDMS/MS Office.

The Manager, Business Intelligence and Operations will design, maintain, and enhance Power BI dashboards and reporting solutions, own reporting lifecycle and data governance, analyze operational performance to identify trends and improvement opportunities, and partner with stakeholders to deliver executive-ready insights. Requires a bachelor’s degree, 5–8 years relevant experience, strong Power BI and Excel skills, and experience supporting senior leaders in a matrixed environment.

Parexel is hiring a Senior Real-World Evidence (RWE) Programmer to work remotely from Canada or the continental United States. The role is highly hands-on (80–90% coding) and focuses on designing and coding R and SQL programs, cleaning and validating RWD from sources such as Flatiron and Optum, building data solutions on Snowflake, applying epidemiological and advanced statistical methods (time-to-event, longitudinal, cross-sectional), and producing dashboards, reports and reproducible documentation. Requires an MS in a related field, fluency in R and SQL, hands-on Flatiron experience, and at least 2–3 years of RWD/RWE experience.

The Data Surveillance Analyst conducts central monitoring and Data Surveillance Plan activities including configuring surveillance technology (e.g., Clue Points), creating KRIs/QTLs, performing data reviews, documenting findings in issue-tracking systems, and supporting DS review meetings. The role requires data analysis, basic SAS/SQL skills, familiarity with SDTM concepts, and approximately 2+ years of relevant clinical, medical, or data management experience.

Parexel seeks a Statistical Programmer II to produce and QC derived clinical trial datasets, tables, figures, and listings using SAS (including SDTM and ADaM). The role requires adherence to SOPs and regulations (ICH-GCP, 21 CFR Part 11), participation in project start-up and documentation, and providing training/mentorship as appropriate. Competent written and oral English and a relevant degree or equivalent experience are required.

Parexel is hiring a Senior/Principal Statistical Programmer (Clinical SAS) in South Africa. The role requires advanced SAS and statistical programming skills, experience leading statistical programming teams, knowledge of clinical trial reporting processes and relevant regulations (ICH-GCP, 21 CFR Part 11), and strong project management, communication and mentoring abilities. Minimum experience noted: ~3.5 years for Senior level and 5+ years for Principal/Lead roles.

Parexel seeks a Senior Associate with a Master's/PhD and at least 3 years' experience in pharma, consultancy, HTA/access, or academia. The role involves designing evidence-generation plans, conducting statistical analyses (e.g., GLMs, survival analysis, NMA, Bayesian methods), developing technical documentation and economic models, and contributing to cross-functional Access/HTA strategies. Proficiency in R and GitLab is required; familiarity with SAS, Python, WinBUGS, or JAGS is a plus.