Associate Director, Medical Omnichannel Data Scientist; Remote

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. This deep-rooted dedication 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 possible each day.

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 focus on customer centricity, patient empathy, expertise in disease education and awareness of management options, and unwavering commitment to supporting access to treatment.

We are looking for a Medical Omnichannel Data Scientist with strong expertise in artificial intelligence, including machine learning, data mining, and information retrieval. This position entails conceptualizing, prototyping, and developing next‑generation advanced analytics model‑based decision engines and services. The ideal candidate will engage closely with key stakeholders to understand strategic objectives and use advanced data analytics and machine learning techniques to enhance communication strategies, ensuring seamless and personalized interactions with healthcare professionals and key opinion leaders.

• Explore and analyze common pharmaceuticals data (e.g., claims) and novel data sets from lab and EHR systems. Work with an Omnichannel Data Engineer to integrate data from multiple sources, including CRM systems, social media, and email platforms, creating 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.
• Identify relevant data drivers (features) that inform decision making tied to strategy and create visualizations to communicate findings.

• Implement advanced analytics models, including predictive analytics and clustering algorithms, to generate actionable insights and track trends across multiple channels.
• Work with Omnichannel ML/Ops engineers to build, test, and deploy production‑grade predictive models and algorithms as part of the Omnichannel COE decision engine, meeting business needs such as sales activity optimization and customer behavior prediction.
• Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products, matching the needs of Otsuka’s growing portfolio.
• Collaborate on the MLOps lifecycle, ensuring traceability and versioning of datasets, and maintain familiarity with the Otsuka Machine Learning tech stack, including AWS, Kubernetes, Snowflake, and Dataiku.

• Design and deploy recommendation systems to tailor communications based on stakeholder preferences and behaviors, using 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.

• Effectively communicate analytical approaches to address strategic objectives to business partners.
• Work closely with medical affairs, marketing, and IT teams to ensure alignment and integration of omnichannel strategies, providing technical guidance and support to cross‑functional teams on data‑related projects.
• Stay updated with emerging industrial trends (conferences and community engagement) and develop strategic industry partnerships on omnichannel analytics to strengthen Otsuka’s analytical methods and outcomes.
• Model Otsuka’s core competencies—Accountability for Results, Strategic Thinking & Problem Solving, Patient & Customer Centricity, Impactful Communication, Respectful Collaboration, and Empowered Development—that define how we…