Data Scientist on Next Best Action Team for Pharma Company

Are you a talented and ambitious Data Scientist looking to make a significant impact in the field of drug discovery? Join my client, a global leader in developing transformative therapies for serious diseases, and play a pivotal role in driving data-driven decision-making through Next Best Action strategies.

As a Data Scientist on the team, you will have the opportunity to collaborate with a multidisciplinary team of scientists, engineers, and clinicians to leverage advanced analytics and machine learning techniques in order to accelerate the discovery and development of life-changing medicines.

Responsibilities:

• Next Best Action Development: Develop and implement Next Best Action strategies using advanced analytics and machine learning algorithms. Leverage large-scale datasets, including genomics, clinical, and molecular data, to identify patterns and optimize decision-making.
• Data Analysis and Modeling: Analyze complex biological, clinical, and real-world data to extract meaningful insights. Develop predictive models and algorithms to optimize patient stratification, treatment selection, and clinical trial design.
• Collaboration and Partnership: Collaborate closely with cross-functional teams, including Research and Development, Clinical Operations, and Computational Biology, to understand their needs and provide data-driven recommendations.
• Advanced Analytics and Machine Learning: Apply state-of-the-art machine learning algorithms, statistical modeling techniques, and data mining methodologies to solve challenging problems in drug discovery and development.
• Data Visualization and Communication: Effectively communicate complex analytical findings and insights to both technical and non-technical stakeholders through compelling data visualizations, presentations, and reports.

Qualifications:

• Advanced degree (Ph.D., M.S., or equivalent) in Data Science, Computer Science, Bioinformatics, or a related field. Relevant industry experience is a plus.
• Proven experience as a Data Scientist, applying advanced analytics and machine learning techniques to solve complex problems.
• Strong programming skills in languages such as Python, R, or similar, with experience in data manipulation, statistical analysis, and machine learning libraries.
• Experience with genomics, clinical, or molecular data analysis, including familiarity with relevant tools and databases.
• Solid understanding of statistical modeling, machine learning algorithms, and data visualization techniques.
• Excellent problem-solving skills and the ability to work with large and complex datasets.
• Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment.