Lead Pharmaceutical Data Scientist (Remote)

About the Role

Our client is seeking an innovative and experienced Lead Pharmaceutical Data Scientist to spearhead data-driven initiatives from a remote location. This role is central to unlocking insights from complex biological and clinical datasets, driving advancements in drug discovery, development, and patient outcomes. You will lead a team of data scientists, develop advanced analytical models, and translate data into actionable strategies that shape the future of pharmaceutical research. This is a high-impact opportunity for a talented individual who thrives on solving challenging scientific problems using cutting-edge data science techniques in a fully remote setting.

Key Responsibilities

• Lead the design and implementation of advanced analytical models and machine learning algorithms for drug discovery and development.
• Manage and mentor a team of data scientists, guiding their technical development and project execution.
• Collaborate with cross-functional teams, including biologists, chemists, clinicians, and IT specialists, to define data science needs.
• Extract, clean, and integrate large, complex datasets from diverse sources (e.g., genomics, clinical trials, real-world evidence).
• Develop data visualization tools and dashboards to communicate complex findings to technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, AI, and their applications within the pharmaceutical industry.

Requirements

• Advanced degree (Ph.D. or Master's) in Data Science, Computer Science, Statistics, Bioinformatics, or a related quantitative field.
• 8+ years of experience in data science, with a significant portion within the pharmaceutical or biotech sector.
• Expertise in programming languages such as Python or R, and proficiency with relevant data science libraries and frameworks.
• Strong knowledge of machine learning techniques, statistical modeling, and data mining.
• Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).

Benefits

• Executive-level salary and significant bonus potential.
• Fully remote position with global team collaboration.
• Exceptional health, dental, and vision insurance plans.
• Generous stock options and long-term incentive plans.
• Access to state-of-the-art data science tools and computational resources.