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Job Description
Job Listing ID:
4487887
Job Title:
Associate Director, Medical Omnichannel Data Scientist (Remote)
Application Deadline:
Open Until Filled
Job Location:
Salem
Date Posted:
05/07/2026
Hours Worked Per Week:
Not Provided Shift:
Not Provided Duration of Job:
Either Full or Part Time, more than 6 months You may contact this employer directly.
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Job Summary:
About Otsuka We defy limitation, so that others can too. In going above and beyond-under any circumstances-for patients, families, providers, and for each other. It's this deep-rooted dedication that drives us to uncover answers to complex, underserved medical needs, so that patients can push past the limitations of their disease and achieve more than they thought was possible each day. About the Role The Omnichannel Center of Excellence is dedicated to driving innovation, building, and delivering capabilities that enhance Otsuka's opportunity to make an impact in the lives of those we serve. We achieve this through our relentless focus on customer centricity, patient empathy, expertise in enabling pathways for disease education and awareness of management options, and our unwavering commitment to supporting access to treatment. We are looking for a Medical Omnichannel Data Scientist , Medical Omnichannel with strong expertise in artificial intelligence, encompassing machine learning, data mining, and information retrieval. This position specifically entails the conceptualization, prototyping and development of next generation advanced analytics model-based decision engines and services. The ideal candidate will engage closely with key stakeholders to understand strategic objectives and leverage advanced data analytics and machine learning techniques to enhance communication strategies, ensuring seamless and personalized interactions with healthcare professionals (HCPs) and key opinion leaders (KOLs).
Job Expectations/Responsibilities:
Data Integration & Management Explore and analyze common pharmaceuticals data (e.g., claims) as well as novel data sets based on lab and EHR systems. Work with Omnichannel Data Engineer to Integrate data from multiple sources (e.g., CRM systems, social media, email platforms) to create a unified view of stakeholder interactions. Apply natural language processing (NLP) to extract insights from unstructured medical texts, such as clinical notes or call center transcripts. Identifying relevant data drivers (features) that can inform decision making closely tied with strategy and creating visualizations to help communicate findings. ? Advanced Analytics & Modeling Implement advanced analytics models, including predictive analytics and clustering algorithms, to generate actionable insights and track trends across various channels. Work with Omnichannel ML/Ops engineer to build, test, and deploy production-grade predictive models and algorithms as part of the Omnichannel COE decision engine to meet business needs, including optimization of sales activities and predicting drivers of customer behavior. Create repeatable, interpretable, dynamic, and scalable models that are seamlessly incorporated into analytic data products and match the needs of Otsuka's growing portfolio. Collaborate on MLOPS life cycle experience with MLOPS workflows traceability and versioning of datasets. Build and maintain familiarity with Otsuka Machine Learning tech stack including AWS, Kubernetes, Snowflake, and Dataiku ? Omnichannel Optimization Design and deploy recommendation systems to tailor communications based on stakeholder preferences and behaviors. Utilize machine learning algorithms (e.g., collaborative filtering, content-based filtering) to enhance personalization efforts. Analyze the performance of omnichannel campaigns (email, SMS, in-app, HCP portals, etc.) to identify high-impact touchpoints and optimize engagement strategies. Use A/B testing and uplift modeling to evaluate the effectiveness of different communication strategies and content types. ...
Job Classification:
Data Scientists Access our statewide or regional occupation report for more information about wages,
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