Associate Data Engineer Jobs in Lowell, MA (NOW HIRING)

Why join Team Alkermes?

Alkermes applies its decades of deep neuroscience expertise to develop medicines designed to help people living with complex and difficult-to-treat psychiatric and neurological disorders. A global biopharmaceutical company, headquartered in Ireland with U.S. locations in Massachusetts and Ohio, we seek to make a meaningful difference in the way people manage their diseases. We have a portfolio of proprietary commercial products for the treatment of alcohol dependence, opioid dependence, schizophrenia, bipolar I disorder and narcolepsy, and a pipeline of clinical and preclinical candidates in development for various psychiatric and neurological disorders.

We are proud to have been recognized as an employer of choice by many national organizations. In 2024 and 2025, we were certified as a Great Place to Work in the U.S. and named one of Massachusetts' Top Places to Work by the Boston Globe, a Best Place to Work in Greater Cincinnati by the Cincinnati Business Courier and recognized as a Best Place to Work in BioPharma by Fortune Magazine. 

Alkermes, Inc. is an equal employment opportunity employer and does not discriminate against any qualified applicant or employee because of race, creed, color, age, national origin, ancestry, religion, gender, sexual orientation, gender expression and identity, disability, genetic information, veteran status, military status, application for military service or any other characteristic protected by local, state or federal law.  Alkermes also complies with all work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA.  Alkermes is an E-Verify employer.

Key Responsibilities 

Support and Scale Data Science Use Cases

• Develop and deploy complex analytical models and predictive insights to inform strategic decisions. 

• Implement data science solutions, including but not limited to predictive machine learning models, recommender systems, and agentic AI applications. 

• Lead development of commercial AI use cases including HCP targeting, customer suggestions, commercial opportunity identification, prescribing behavior prediction, and customer segmentation. 

• Scale proof-of-concept data science ideas and products into maintainable production software services; leverage best practices for production-ready code development and MLOps to build solutions that are stable, efficient, and scalable. 

• Partner with engineering teams to operationalize machine learning models and integrate outputs into business applications and digital workflows.

Stakeholder Engagement and Collaboration 

• Act as a key partner to cross-functional teams, providing technical and strategic guidance in the design, development, and implementation of AI-driven products and analytics solutions. 

• Serve as a trusted advisor to stakeholders by helping them understand INDIGO's capabilities and translate business challenges into high-impact data science opportunities. 

• Facilitate structured discovery and problem-framing sessions to identify opportunities where AI, machine learning, automation, and advanced analytics can drive measurable business value. 

• Collaborate closely with commercial business leaders and domain experts to ensure models and solutions reflect real-world business processes and market dynamics. 

• Influence decision-making through clear, actionable communication, synthesizing complex analytical results into insights that resonate with both technical and non-technical audiences. 

• Champion change management and user adoption, ensuring stakeholders understand, trust, and effectively integrate AI-driven recommendations into their workflows. 

• Build long-term partnerships with business owners, fostering ongoing collaboration, feedback loops, and continuous improvement for products and models in production.

Lead the Development of Data Science Capabilities 

• Design and build production-grade digital products, reusable frameworks, and scalable AI/ML platforms that drive commercial performance and establish consistent foundations for future AI applications. 

• Lead and manage high-impact data science initiatives across the organization, including scope, timelines, risks, and resource planning. 

• Drive the development of scalable machine learning capabilities that can support multiple brands and commercial use cases through reusable frameworks and automation. 

• Evangelize and contribute to scaled adoption of AI and machine learning capabilities across the organization. 

• Stay updated with advancements in data science, machine learning, and generative AI and evaluate emerging technologies for practical business application. 

• Track and communicate progress on data science initiatives while managing shifting priorities and business needs. 

• Champion FAIR principles and guide the organization in their application to ensure long-term data usability and accessibility.

Functional Ownership of Digital Products 

• Bring an end-to-end product lifecycle management mindset to INDIGO initiatives, with a clear focus on maximizing long-term business value. 

• Take ownership of Commercial AI and analytics products, ensuring reliability, scalability, business relevance, and ongoing stakeholder adoption. 

• Play a key role in shaping product and portfolio strategy by contributing expert judgment and nuanced thinking on the direction, growth, and integration of the products they own. 

• Mentor and develop the talent supporting their product portfolio, fostering a collaborative and continuously learning team environment.