Associate Director, Medical Omnichannel Data Scientist (Hybrid)

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 an

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.

Stakeholder Collaboration

Effectively communicating analytical approach to address strategic objectives to business partners.

Work closely with medical affairs, marketing, and IT teams to ensure alignment and integration of omnichannel strategies. Provide 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, Impact Communications, Respectful Collaboration & Empowered Development) that define how we work together at Otsuka. Key matrixed partners included : Brand Marketing, Creative / CRM / Digital agencies, Media, Market Research, Analytics, Otsuka Information Technology (OIT), Sales Operations, and Medical / Regulatory / Legal integrated business partners .

Minimum Qualification :

Bachelor's degree in data sciences, computer science and 4-6 years of relevant experience

Preferred Knowledge, Skills, and Abilities :

Demonstrated experience with scripting and implementing data analytics algorithms and models. Hands on experience using a modeling and simulation software (e.g. Python, Matlab, R, NONMEM, SAS, S-Plus, etc.) is a plus.

Knowledge / Experience in the usage of machine learning / AI tools in life science area(s) and handling life science datasets is preferred.

Excellent interpersonal, technical, and communication skills to lead cross-functional teams.

Profound grasp of Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.

Have implemented machine learning projects from initiation through completion with particular focus on automated deployment and ensuring optimized performance.

Agile skills and experience

Experience in Healthcare (esp. US) industry is a plus.