
Cutting-Edge Data Analyst
6 days ago
We are seeking a highly skilled professional to join our team as a Data Scientist.
This role offers an exciting opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions.
As a Data Scientist, you will be responsible for employing advanced analytical computational approaches to drive evidence-based pharmaceutical product development.
You will provide scientific and technical leadership in machine learning and AI, working closely with other disciplines across the organization.
Your expertise will enable you to deliver high-quality analysis to key business questions, driving decision-making and business growth.
Key responsibilities include providing high-level expertise in employing cutting-edge analytical computational approaches to drive evidence-based pharmaceutical product development; providing scientific and technical leadership in machine learning and AI; working closely with other disciplines across the organization to deliver high-quality analysis to key business questions.
You will also be responsible for developing and implementing computational and statistical methodologies in Advanced Analytics for RWE, providing expertise and executing advanced analytics for solving problems across RD, Medical Affairs, HEVA and Market Access Strategies and Plans.
Required Skills and Qualifications- A PhD in quantitative field such as Statistics, Biostatistics, Applied Mathematics or related field with 6 years of industry or academic experience;
- Relevant Master's Degree, with 10 years of related industry or academic experience;
- High level proficiency in at least two or more technical or analytical languages (R, Python, etc..);
- Experience with advanced ML techniques (neural networks/deep learning, reinforcement learning, SVM, PCA, etc.);
- Ability to interact with a variety of large-scale data structures e.g., HDFS, SQL, NoSQL;
- Experience working across multiple environments (e.g. AWS, GCP, Linux) for optimizing compute and big data handling requirements;
- Experience with Real-World Data (RWD), demonstrated proficiency in working with diverse real-world data sources;
- Excellent knowledge of English language (spoken and written).
Our organization offers a dynamic and collaborative work environment, with opportunities for career growth and professional development.
We strive to be an inclusive and diverse workplace, with a strong commitment to equal opportunities for all employees.
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