
10,000+ employees
Founded 1983
đŒ Consulting
đ„ Healthcare
đŠ Logistics
đ° Venture Round on 1990-01
Consulting âą Healthcare âą Logistics
Parexel is one of the world's largest clinical research organizations (CROs), providing comprehensive services for the clinical development process from Phase I to IV. The company specializes in portfolio management, clinical trial management, regulatory strategy, market access, and lifecycle management for biopharmaceuticals. Parexel aims to speed life-changing medicines to market by leveraging its clinical, regulatory, and therapeutic expertise. With a global team of over 21,000 professionals, Parexel works to integrate patient insights and innovative trial designs to develop treatments across therapeutic areas such as oncology, neuroscience, rare diseases, and more. It focuses on delivering patient-centric and efficient clinical trials.
đ„ 0 minutes ago
đ United Kingdom, Germany, +6 more countries â Remote
â° Full Time
đ Senior
đ Data Scientist
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10,000+ employees
Founded 1983
đŒ Consulting
đ„ Healthcare
đŠ Logistics
đ° Venture Round on 1990-01
Consulting âą Healthcare âą Logistics
Parexel is one of the world's largest clinical research organizations (CROs), providing comprehensive services for the clinical development process from Phase I to IV. The company specializes in portfolio management, clinical trial management, regulatory strategy, market access, and lifecycle management for biopharmaceuticals. Parexel aims to speed life-changing medicines to market by leveraging its clinical, regulatory, and therapeutic expertise. With a global team of over 21,000 professionals, Parexel works to integrate patient insights and innovative trial designs to develop treatments across therapeutic areas such as oncology, neuroscience, rare diseases, and more. It focuses on delivering patient-centric and efficient clinical trials.
âą Run, monitor, and maintain existing analysis pipelines, internal R packages, and report templates, including interactive data exploration tools âą Contribute via git using branching, pull requests, and code review; coordinate handoffs âą Manage end-to-end data flow, including requesting data from BDM, tracking delivery, organizing data on internal servers, and maintaining folder structure and data cut documentation âą Prepare and send sample lists to sample management and other departments upon request âą Work with scientists to harmonize heterogeneous formats for ongoing ingestion of biomarker data into common data formats âą Maintain run logs and validate outputs against expected formats and metrics âą Ensure raw and processed outputs are stored according to team conventions âą Maintain project and deliverable trackers covering status, owners, due dates, dependencies, and links âą Provide concise visibility for stakeholders âą Maintain a reusable library of Claude Code prompts, snippets, and skills for common tasks âą Define standards for AI-assisted workflows, including style, testing, and documentation âą Provide light enablement for consistent AI-assisted coding workflows
âą Must live and have the right to work in one of the following EMEA countries only: United Kingdom, Germany, France, Spain, Romania, Serbia, Lithuania, or Poland âą Experience in open-source programming such as R, R Shiny, and bash âą Experience using version control tools (git) âą Experience using Claude Code and other AI tools âą SQL, database design (PostgreSQL/similar), ETL pipelines âą HTML/CSS/JavaScript basics âą Familiarity with basic statistical modeling fundamentals (linear/logistic models, survival concepts, multiple testing awareness) âą QC mindset and validation âą Good communication and collaboration skills âą Comfortable with quick paced environment âą R/R/Python, R Shiny, bash âą BS in Bioinformatics, Computer Science, Computational Biology, Life Sciences, or related discipline âą 2+ years of programming experience, preferably in life sciences processing molecular data and/or clinical trial data in the biotechnology, pharmaceutical, or health-related industry
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