Otsuka is looking to solve complex, underserved medical needs by driving innovation and delivering capabilities that enhance customer centricity, patient empathy, and expertise in enabling pathways for disease education and awareness of management options.
Requirements
- Strong expertise in artificial intelligence, encompassing machine learning, data mining, and information retrieval.
- 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.).
- Knowledge/Experience in the usage of machine learning/AI tools in life science area(s) and handling life science datasets.
- Experience with AWS, Kubernetes, Snowflake, and Dataiku.
- Agile skills and experience.
- Experience in Healthcare (esp. US) industry is a plus.
Responsibilities
- Explore and analyze common pharmaceuticals data (e.g., claims) as well as novel data sets based on lab and EHR systems.
- Apply natural language processing (NLP) to extract insights from unstructured medical texts, such as clinical notes or call center transcripts.
- 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.
- Design and deploy recommendation systems to tailor communications based on stakeholder preferences and behaviors.
- Analyze the performance of omnichannel campaigns (email, SMS, in-app, HCP portals, etc.) to identify high-impact touchpoints and optimize engagement strategies.
- Collaborate on MLOPS life cycle experience with MLOPS workflows traceability and versioning of datasets.
Other
- Bachelor’s degree in data sciences, computer science and 4-6 years of relevant experience.
- Excellent interpersonal, technical, and communication skills to lead cross-functional teams.
- Accountability for Results - Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change.
- Strategic Thinking & Problem Solving - Make decisions considering the long-term impact to customers, patients, employees, and the business.
- Travel requirements not specified.
