Salary: $85,000 - $102,000

Dedicated to developing innovative treatments that improve the quality of life for people around the world. As a global, values-based R&D-driven biopharmaceutical company, they focus on patient needs and operate with a deep commitment to integrity and collaboration. Their culture is inclusive, empowering, and geared toward making a meaningful impact.

Job Overview:

They are seeking a highly motivated Data Scientist to join their dynamic Data Science and Advanced Analytics team based in Lexington, MA. As part of their forward-thinking research and innovation unit, you will collaborate across multiple teams to deliver data-driven insights and solutions that drive decision-making across the organization.

Key Responsibilities:

Leverage advanced data analytics, machine learning, and statistical techniques to extract actionable insights from large and complex datasets.
Develop and deploy predictive models to support key business processes in R&D, clinical trials, manufacturing, and commercial operations.
Work closely with cross-functional teams (scientists, engineers, product managers) to translate business needs into analytical problems and deliver innovative solutions.
Implement data pipelines, automation tools, and visualization dashboards to support data-driven decision-making.
Present results to key stakeholders, translating technical insights into business terms.
Stay up-to-date with industry trends, emerging technologies, and best practices in data science and pharmaceutical research.

Qualifications:

PhD in engineering or related pharmaceutical science.
Masters degree in engineering or related pharmaceutical science and 6+ years relevant industry experience.
Bachelors degree in engineering or related pharmaceutical science and 8+ years relevant industry experience.
Extensive experience in the use of computational modeling and simulation in medical device or related areas.
Proficiency in computational modeling software (FEA, CFD, etc.), and CAD software such as SolidWorks.
Experience in Artificial Intelligence (AI) and Machine Learning (ML)
Experience working with clinical or biological data is a plus.
Proven ability to work in collaborative, cross-functional teams, and communicate complex data findings to non-technical audiences.
Strong problem-solving skills and a results-driven mindset.

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