Clinical Data Scientist

January 25

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Oviva

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Oviva is a healthcare company that offers personalized weight loss programs and expert care, covered by the NHS, to help individuals achieve their health goals. Their programs combine medication, which studies have shown to help achieve substantial weight loss, with continuous remote support from a team of healthcare professionals, including doctors, dietitians, and psychologists. Oviva leverages technology through their app, enabling users to track their progress, receive tailored advice, and maintain a healthy routine. The company provides a convenient, effective path to weight management and has been recommended by NICE for delivering Tier 3 Weight Management services within the NHS framework.

Dietetics • Weight loss counselling • Telemedicine • Digital Health • MedTech

501 - 1000 employees

⚕️ Healthcare Insurance

🧘 Wellness

📡 Telecommunications

💰 $80M Series C on 2021-08

📋 Description

• This role bridges clinical research with data science, helping drive data-informed decision-making throughout the clinical development lifecycle. • Collaborate with clinical operations, science, clinical delivery, data and quality managers, and external stakeholders. • Ensure high-quality data collection and management, advanced statistical analyses, and reporting in compliance with regulatory and scientific standards. • Use strong technical expertise to deeply organise and analyse data, aiming to drive improvements in patient outcomes.

🎯 Requirements

• A strong foundation in the theoretical and practical aspects of Statistical Analysis and Data Analysis • Frequentist statistics skills • Proven experience in analysing large datasets to extract actionable insights, using statistical and machine-learning techniques • Good programming skills - we use R and Python for data analysis and modeling • SQL proficiency and experience with Data Warehousing Technology (BigQuery is a plus) • Previous experience in clinical trials or research • Familiarity with clinical trial design, endpoints, and outcome measures • Understanding of Good Clinical Practice (GCP), ICH guidelines, and clinical regulatory requirements • Passionate about experimenting with the latest data processing, storage, and analytics technologies • Excellent communication skills in English • Strong problem-solving skills, adaptable, proactive and willing to take ownership • General understanding of software engineering and web standards • Proven experience in applying causal inference techniques in a business or research setting, demonstrating your ability to extract and communicate causal insights • Experience with clinical data management systems (e.g., Medidata, Oracle Clinical, REDCap) and Electronic Data Capture (EDC) platforms • Experience working with large datasets, including real-world data (RWD) and electronic health records (EHR) • Previous experience in health/medical/pharma domains is a plus • Proficiency in German is an advantage

🏖️ Benefits

• An opportunity to make a meaningful impact in revolutionising healthcare • Exciting and rewarding role in the high-growth environment • Training and development opportunities • Flexible and remote working that enables you to work in a way that suits you • A home working allowance to personalise your workspace • Competitive salary • Having a culture that people want to work in, is very important to us. • We put the patient first, We measure & improve, We build winning teams