Alkermes
Position Summary
As a Senior Manager, Data Science within the INDIGO | AI Innovation Lab, you will play a hands‑on role in developing analytical, traditional ML, and AI products and in supporting delivery of prioritized AI use cases on our roadmap. You will collaborate with business stakeholders on specific deliverables, maintain ownership of your work and ensure timely delivery of quality products. You will bring solid technical expertise and a strong sense of work ownership to a deeply collaborative set‑up, where AI innovation with strong business integration is paramount. The ideal candidate will have experience with data science and AI applications in the pharmaceutical or health‑related industry. This role is based in our Waltham location and follows a hybrid office schedule.
Responsibilities
Design, develop, and deploy data science solutions including GenAI chatbot applications, predictive models, and NLP tools, supporting broader product development lifecycle
Contribute to the development of scalable, production‑ready code using best practices in DevOps and MLOps
Stay current with emerging technologies and integrate them into team solutions where appropriate
Support data science initiatives across the organization, including stakeholder management for your deliverables, owning the execution and delivery
Collaborate with cross‑functional teams to understand business needs and translate them into technical solutions
Communicate insights and recommendations clearly to stakeholders with varying levels of technical expertise
Manage deliverable timelines through clear and timely communication of progress, blockers, and ideation discussions with project leads and stakeholders
Maintain and enhance analytical products under the team’s ownership
Ensure reliability, scalability, and continued relevance of data science tools and platforms
Contribute to a collaborative, learning‑oriented team culture by sharing knowledge, offering peer support, and participating in team development initiatives
Support continuous improvement by actively engaging in retrospectives, process enhancements, and technical knowledge sharing across the team
Qualifications Basic Qualifications
Master’s degree in Data Science, Computer Science, Statistics, or a related field
3–5 years of experience in data science, with a track record of delivering impactful solutions
Technical Skills
Proficiency in production programming in languages such as Python and SQL; experience with pandas, Numpy, scikit‑learn, and PyTorch
Experience with graph databases (e.g., Neo4J) and RAG architecture is strongly preferred
Familiarity with cloud computing and ML platforms – AWS platform, Dataiku, and Snowflake experience required; Big Data Technologies (e.g., Spark) preferred
Understanding of ML algorithms, LLMs, statistical analysis, and MLOps practices
Exposure to data engineering and governance best practices (DBT strongly preferred)
Core Competencies
Strong problem‑solving and analytical skills
Ability to manage multiple projects and adapt to shifting priorities
Effective communication and collaboration skills
Demonstrated ownership and accountability in delivering technical solutions
Preferred Qualifications
Experience in pharmaceutical/biotechnology industry; experience in CNS space strongly preferred
Familiarity with regulatory standards for data use in healthcare (e.g., HIPAA)
Exposure to GenAI innovation and graph analytics
Ability to work a hybrid weekly office schedule in our Waltham location
Compensation The annual base salary for this position ranges from $165,000 to $180,000. In addition, this position is eligible for an annual performance pay bonus. Exact compensation may vary based on skills, training, knowledge, and experience. Alkermes offers a competitive benefits package.
About Us Alkermes applies its deep neuroscience expertise to develop medicines designed to help people living with complex and difficult‑to‑treat psychiatric and neurological disorders. A fully‑integrated, global biopharmaceutical company, headquartered in Ireland with U.S. locations in Massachusetts and Ohio, we are committed to pursuing great science, driven by deep compassion to make a real impact in the lives of patients. Alkermes has a portfolio of proprietary commercial products for the treatment of alcohol dependence, opioid dependence, schizophrenia and bipolar I disorder, and a pipeline of clinical and preclinical candidates in development for various neurological disorders, including narcolepsy.
Beyond our important mission of developing medicines to address unmet patient needs, we actively seek to foster a culture of diversity, inclusion and belonging throughout our business. We strive to ensure that all voices are respected and valued, recognizing that our diversity of thought, background and perspective makes us stronger.
Equal Employment Opportunity 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.
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Responsibilities
Design, develop, and deploy data science solutions including GenAI chatbot applications, predictive models, and NLP tools, supporting broader product development lifecycle
Contribute to the development of scalable, production‑ready code using best practices in DevOps and MLOps
Stay current with emerging technologies and integrate them into team solutions where appropriate
Support data science initiatives across the organization, including stakeholder management for your deliverables, owning the execution and delivery
Collaborate with cross‑functional teams to understand business needs and translate them into technical solutions
Communicate insights and recommendations clearly to stakeholders with varying levels of technical expertise
Manage deliverable timelines through clear and timely communication of progress, blockers, and ideation discussions with project leads and stakeholders
Maintain and enhance analytical products under the team’s ownership
Ensure reliability, scalability, and continued relevance of data science tools and platforms
Contribute to a collaborative, learning‑oriented team culture by sharing knowledge, offering peer support, and participating in team development initiatives
Support continuous improvement by actively engaging in retrospectives, process enhancements, and technical knowledge sharing across the team
Qualifications Basic Qualifications
Master’s degree in Data Science, Computer Science, Statistics, or a related field
3–5 years of experience in data science, with a track record of delivering impactful solutions
Technical Skills
Proficiency in production programming in languages such as Python and SQL; experience with pandas, Numpy, scikit‑learn, and PyTorch
Experience with graph databases (e.g., Neo4J) and RAG architecture is strongly preferred
Familiarity with cloud computing and ML platforms – AWS platform, Dataiku, and Snowflake experience required; Big Data Technologies (e.g., Spark) preferred
Understanding of ML algorithms, LLMs, statistical analysis, and MLOps practices
Exposure to data engineering and governance best practices (DBT strongly preferred)
Core Competencies
Strong problem‑solving and analytical skills
Ability to manage multiple projects and adapt to shifting priorities
Effective communication and collaboration skills
Demonstrated ownership and accountability in delivering technical solutions
Preferred Qualifications
Experience in pharmaceutical/biotechnology industry; experience in CNS space strongly preferred
Familiarity with regulatory standards for data use in healthcare (e.g., HIPAA)
Exposure to GenAI innovation and graph analytics
Ability to work a hybrid weekly office schedule in our Waltham location
Compensation The annual base salary for this position ranges from $165,000 to $180,000. In addition, this position is eligible for an annual performance pay bonus. Exact compensation may vary based on skills, training, knowledge, and experience. Alkermes offers a competitive benefits package.
About Us Alkermes applies its deep neuroscience expertise to develop medicines designed to help people living with complex and difficult‑to‑treat psychiatric and neurological disorders. A fully‑integrated, global biopharmaceutical company, headquartered in Ireland with U.S. locations in Massachusetts and Ohio, we are committed to pursuing great science, driven by deep compassion to make a real impact in the lives of patients. Alkermes has a portfolio of proprietary commercial products for the treatment of alcohol dependence, opioid dependence, schizophrenia and bipolar I disorder, and a pipeline of clinical and preclinical candidates in development for various neurological disorders, including narcolepsy.
Beyond our important mission of developing medicines to address unmet patient needs, we actively seek to foster a culture of diversity, inclusion and belonging throughout our business. We strive to ensure that all voices are respected and valued, recognizing that our diversity of thought, background and perspective makes us stronger.
Equal Employment Opportunity 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.
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