Principal Data Scientist

Job not on LinkedIn

🔥 24 minutes ago

🌐 India, United Kingdom – Remote

🇮🇳 India – Remote 🇬🇧 United Kingdom – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 22%

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Clinical Outcomes Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

🧬 Biotechnology

Consulting • Healthcare • Biotechnology

Clinical Outcomes Solutions is a global clinical outcomes consultancy that provides comprehensive support and services in all aspects of Clinical Outcome Assessment (COA) research. The company helps inform patient care by capturing the patient voice through innovative scientific methods. It guides organizations in navigating the complexities of clinical outcomes research by crafting strategies and solutions to capture accurate data. Trusted by pharmaceutical and biotechnology companies, the firm ensures regulatory compliance and optimized patient outcomes.

📋 Description

• Identify, access and integrate clinical study data, observational data and real-world healthcare datasets • Perform high-quality data extraction and preprocessing • Develop and implement signal processing methods for data curation and feature/pattern extraction from longitudinal high-frequency data • Develop and implement machine learning models for clinical applications, including disease phenotyping and predictive modelling • Apply time-series analysis, feature engineering and probabilistic modelling to biomedical data • Develop and maintain scalable, high-performance data pipeline systems • Validate and benchmark machine learning models against state-of-the-art methods • Ensure clinical relevance and interpretability of models

🎯 Requirements

• PhD/Masters or Bachelor’s degree in computer science, biomedical engineering, mathematics, data science or a related discipline • Experience within the pharmaceutical or healthcare industry • Good written and verbal communication skills, including the ability to write technical reports and concise summaries of complex findings • Proven expertise in advanced analytical research techniques, including machine learning and signal processing, particularly in biomedical/clinical data applications • Proficiency in R or Python, with hands-on experience in machine learning and data analysis • Proficiency with data extraction and integration techniques, including APIs, relational databases and cloud-based solutions • Proficiency with software engineering best practices for version control, reviewing and testing • Competence in cloud-based technologies such as AWS • Expertise handling clinical data standards, EHR, electrophysiological signals and wearable device data • Moderate experience in pharmaceutical and biotech consulting, with alignment to GxP compliance and regulatory guidelines • Strong proficiency in data visualization, including R Shiny, Matplotlib and interactive dashboard tools • Effective client communication and stakeholder engagement • Ability to make timely decisions on technical project issues

🏖️ Benefits

• Consistent training, development and support • Significant professional growth opportunities • Autonomy and ownership in a sponsor-dedicated role • Fully remote work arrangement