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Job Description

Predictive Analytics & Data Science Lead, US Oncology

OBJECTIVES/PURPOSE

• Establish the design and execution of AI/ML strategies to enable scalable personalization across HCP, patient, payer and medical engagements.
• Partner with commercial, digital, and omnichannel marketing teams to define use cases and integrate model-driven decisioning into business workflows.
• Architect and maintain personalization engines and frameworks (e.g., next-best-action, next-best-channel) to support dynamic targeting and content delivery.
• Collaborate with DDT to ensure models can be deployed in compliant, production-ready environments.

ACCOUNTABILITIES

• Develop and refine machine learning models using structured and unstructured data sources including claims, EMR, CRM, digital interactions, and social media.
• Apply advanced statistical and ML techniques (e.g., clustering, classification, regression, NLP) to support targeting, segmentation, and engagement prediction.
• Employ AI/ML algorithms to predict patient events to identify opportunities. Furthermore, identify undiagnosed / misdiagnosed patients to drive targeted medical engagements.
• Ensure robust model validation, interpretability, and scalability using best practices and tools.
• Translate technical outputs into actionable insights for business stakeholders, enabling data-informed decisions.
• Explore ways to enrich patient data through AI techniques for enhanced stratification of patients by biomarker, line etc.
• Define and track key performance indicators (KPIs) to measure the effectiveness of personalization and AI-driven solutions.
• Ensure alignment between model outputs and business impact through controlled experiments and A/B testing.
• Work closely with analytics and marketing communities to quantify the ROI of AI/ML-driven personalization initiatives.
• Enable persona-based performance tracking by setting up self-serve capabilities powered by Gen AI

LEADERSHIP BEHAVIORS

• Collaborate across data science communities and external partners to stay abreast of innovations and industry trends.
• Identify and evaluate emerging tools, algorithms, and AI/ML techniques relevant to pharma personalization and decision science.
• Drive experimentation with novel data sources and modeling approaches to enhance precision and relevance of personalization.
• Strategic Agility – strategic enterprise thinker who finds innovative ways to develop solutions. Exceptional ability to set an agenda aligned to a function’s future focused objectives, deploy it and deliver results
• Creates Clarity – focuses on the few priorities that matter most. Track record of developing and implementing programs that reduce complexity and measurably improve business performance

CORE ELEMENTS RELATED TO THIS ROLE

• Master’s or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related field.
• 7+ years of hands-on experience in AI/ML modeling, with at least 3 years in a pharmaceutical commercial analytics or healthcare setting.
• Strong technical expertise in machine learning, NLP, recommendation systems, and AI personalization use cases.
• Proficient in tools and languages such as Python, R, SQL, Spark, and familiar with cloud platforms (AWS, Azure, GCP).
• Experience with pharma data (e.g., IQVIA, Veeva, claims, digital marketing) and strong understanding of compliance and privacy considerations.
• Excellent communication and presentation skills, with the ability to convey complex patient insights to non-technical audiences.
• Demonstrated ability to collaborate effectively with cross-functional teams and manage multiple projects.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams
• Strong project management skills, with the ability to manage multiple projects simultaneously
• Knowledge of regulatory requirements and compliance guidelines in the pharmaceutical industry

More about us:

At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.

Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.

This position is currently classified as "hybrid" in accordance with Takeda's Hybrid and Remote Work policy.

#LI-Hybrid

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. 

For Location:

Boston, MA

U.S. Base Salary Range:

$153,600.00 - $241,340.00

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

Locations

Boston, MA

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time

Job Exempt

Yes

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