Parexel seeks a Director of Data Engineering (RWD) to lead strategy and hands-on engineering for the Enterprise Data Lake and lakehouse (medallion) architecture. The role requires 12+ years IT experience, strong expertise with Azure Databricks, SQL query tuning, Python, cloud data platforms, data ingestion/transformation, governance, and prior experience leading global data engineering teams in life sciences/real-world data contexts.

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.

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.

Fully remote role for candidates based in South Africa. Lead complex clinical data engineering projects: implement data receipt agreements, design data ingestion procedures using SAS/Workbench/SQL/R, create reconciliation checks and offline listings, aggregate data from multiple sources, maintain documentation and regulatory compliance (ICH-GCP, 21 CFR Part 11, SOPs), mentor teams, and act as a client-facing subject matter expert.

Parexel seeks a Senior Clinical Data Engineer based in South Africa (fully remote) to support global clinical trials. The role includes programming and configuring data ingestion (SAS, Workbench, R, SQL), performing reconciliation checks and custom reports, aggregating and managing external data, ensuring compliance with SOPs and regulations (ICH-GCP, 21 CFR Part 11), maintaining study documentation, leading programming teams, and driving process improvements. Applicants must reside in South Africa and be legally authorized to work there.