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Transforming data into strategic value for the pharmaceutical and health-related industries at the client's organization

Requirements

• Demonstrated proficiency in programming languages such as Python and SQL
• Hands-on experience using libraries like pandas, Numpy, scikit-learn, and PyTorch
• Familiarity with big data tools and cloud platforms, especially AWS, Dataiku, and Snowflake
• Knowledge of data governance frameworks including FAIR principles
• Strong understanding of machine learning algorithms, LLMs, statistical analysis, and MLOps practices
• Experience with graph databases like Neo4J and visualization tools such as Tableau or ReactJS/D3
• Familiarity with regulatory standards in healthcare and biotechnology, including HIPAA compliance

Responsibilities

• Designing and deploying sophisticated analytical models and AI solutions, including natural language processing and GenAI applications
• Leading the development of digital platforms and tools that enhance organizational efficiency and data accessibility
• Overseeing impactful projects
• Serving as a technical leader and mentor
• Driving the creation of cutting-edge solutions that empower the organization
• Developing advanced data science capabilities
• Deploying machine learning algorithms, LLMs, statistical analysis, and MLOps practices for scalable and production-ready deployment

Other

• A master’s degree in Data Science, Computer Science, Statistics, or a related field; a Ph.D. is highly regarded
• Between 5 to 7 years of proven success delivering impactful data science solutions, with demonstrated leadership and mentorship experience
• Ability to work on a hybrid schedule in Waltham, MA
• Relevant certifications or experience with regulatory standards in healthcare data governance
• Excellent collaboration skills to partner effectively with cross-functional teams and communicate complex insights to senior leadership