Senior Data Science Manager

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Parexel

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1983

⚕️ Healthcare Insurance

🧬 Biotechnology

💊 Pharmaceuticals

💰 Venture Round on 1990-01

Healthcare Insurance • Biotechnology • Pharmaceuticals

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.

📋 Description

• Drive exploratory and confirmatory analyses (both hypothesis-generating and hypothesis-driven), across diverse data types generated in drug development, including clinical trial data, genomics, proteomics, imaging, flow cytometry, and other biomarker modalities. • Define and implement approaches, processes, algorithms, and pipelines that support the analytics, visualization, and decision support needs of drug development scientists and project teams. • Collaborate closely with Biostatistics leads, Translational and Clinical Scientists, and cross-functional partners across the organization.

🎯 Requirements

• Ph.D. in a relevant quantitative field (e.g., Computational Biology, Biostatistics, Statistics, Biomedical Engineering, Computer Science, or related field) and 1+ years of academic/industry experience; or Master's Degree in a relevant quantitative field and 3+ years of industry experience • Strong experience in data science and statistical analysis with data generated from clinical trials or electronic health records, particularly in application to pharma R&D • Experience in developing and validating statistical and machine learning models on high-dimensional data for time-to-event, longitudinal, and multivariate outcomes • Experience in the application of AI/ML and proficiency in Python, R, SQL, and cloud platforms (e.g., AWS, Azure, Databricks) • Familiarity with clinical trial design, drug development processes, and the role of biomarkers in regulatory and clinical decision-making • Perspective in leveraging innovative approaches to expedite drug development and address the complexities of emerging data • Ability to work both independently and collaboratively, and to handle several concurrent, fast-paced projects • Strong problem-solving and collaboration skills, and rigorous and creative thinking • Excellent communication, data presentation, and visualization skills • Capable of establishing strong working relationships across the organization

🏖️ Benefits

• Health insurance • Professional development opportunities