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Associate Director, Predictive Analytics

Cambridge, Massachusetts
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At Takeda, it's our people, our values and our culture that make us special. We share a sense of vocation and a desire to serve others that pulses through our entire organization. We're fortunate to be grounded in a history that gives us a long term perspective, the confidence to stick to what we believe in, and the humility to know we don't have all the answers.

We combine this outlook with an agility and tenacity to deliver for our patients that has fueled the growth of our business. But what really sets our company apart is something we call Patient Trust Reputation Business. It's the framework that enables us to translate our purpose and values into action. It's how we synchronize the diversity of our perspectives, strengths and expertise. And it’s what keeps our decision making tethered to what really matters.

Job ID R0179014 Date posted 04/24/2026 Location Cambridge, Massachusetts

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use.  I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

We are seeking a hands-on innovative seasoned Data Science professional for the Associate Director, Predictive Analytics position out of our Cambridge, Ma office to lead advanced analytics for Takeda’s US GI Franchise. In this strategic, hands-on role, you will drive innovation in predictive modeling, machine learning models, and AI technologies to enhance patient identification, HCP targeting, and omnichannel engagement.

This position requires strong technical expertise, business acumen, and creative strategy to translate sophisticated analytics into actionable business solutions, delivering commercial excellence in areas such as trialist identification, patient segmentation, next-best-action (NBA), target prioritization dynamic targeting, and execution of AI/ML strategies to enable scalable personalization across HCP and patient stakeholders.

The professional brings a consultative approach to partnering with stakeholders to identify new business opportunities, develop advanced analytic insights informing strategies, and drive AI/ML & data driven decision making for business growth. You will collaborate with internal and external stakeholders to ensure models can be deployed in compliant, production-ready environments with clear plans to measure effectiveness.

How you will contribute

The Associate Director will be responsible for the following:

  • Advanced Data Science capabilities driving the utilization of predictive models in areas including Patient finding, HCP Targeting and Prioritization, Next Best Action Engines, predictive secondary data driven Patient and predictive Customer Segmentations.
  • Advanced Predictive Analytics for US. GI Franchise including new product launches or indications.
  • Partner with BUs, BU Analytics & Insights, Marketing and Sales Ops, Data CoEs etc.to define use cases and integrate predictive model-driven decisioning into business decisions.
  • As the Associate Director of Predictive Analytics, you will contribute to Takeda's mission by evolving Data Science solutions that bring increased business value to the US. GI Franchises

Strategic Leadership: Develop and execute a future-oriented data science strategy for commercialization, focusing on leveraging predictive and machine learning models to solve complex business challenges

Predictive Modeling & AI Innovation: Design and deploy predictive models—including logistic regression, ensemble methods, and other machine learning algorithms—for key applications such as trialist identification, patient segmentation, next-best-action (NBA), and HCP target prioritization. Lead the development of AI/ML algorithms to predict patient events, identify undiagnosed / misdiagnosed patients to drive targeted HCP engagements. Leverage/Create scalable, reusable AI/ML frameworks for learning experimentation and deployment.

Cross-Functional Partnership: Collaborate as a key thought partner with cross-functional teams—including Business Units, Brand Insights & Analytics, Marketing & Sales Operations, Patient Services, and Medical Affairs—to drive business impact. Develop creative strategies to ensemble multiple third-party patient data sets, enhancing coverage and precision in patient identification and predictive segmentations.

Team Leadership and Development: Mentor a high-performing team of data scientists by personally pursuing and promoting continuous learning and encouraging the adoption of emerging AI techniques, ensuring a culture of innovation and excellence. Promote ongoing AI skill development through hands-on training, external partnerships, and internal knowledge sharing.

Innovation & Continuous Improvement: Continually evolve analytical methods, platforms, standards, and toolsets to meet current and future business needs. Lead Data Science team efforts in developing advanced analytic AI/ML models providing continuous insights into execution optimization, and industry developments.

Strategic Consultation & Stakeholder Engagement: Act as a trusted thought partner to franchise Analytics & Insights, forecasting, and Patient Diagnosis Heads - leading data science driven discussions and translating business needs into appropriate predictive modeling strategies.

GenAI and Agentic AI Initiatives: Drive the adoption and integration of advanced AI technologies to enhance analytics capabilities, automate insights generation, and support innovative commercial strategies.

Vendor & Project Management: Manage relationships with trusted vendor partners for outsourced project work and ensure high-quality, timely deliverables. Oversee project timelines and budgets, utilizing project management tools for tracking progress.

Minimum Requirements/Qualifications:

  • BS/BA in a quantitative field (e.g., Statistics, Data Science) with 8+ years of relevant experience in pharmaceutical industry. Advanced degree (MS/MA in a related field) preferred.5+ years of hands-on experience in AI/ML modeling, with at least 3 years in pharmaceutical commercial analytics.
  • Strong technical expertise in machine learning, NLP, recommendation systems, and personalization use cases.
  • Proficient in Data Science tools and languages such as Python, R, SQL, Databricks, and is familiar with cloud platforms (AWS, Azure, GCP).
  • Experience with pharma data (e.g., IQVIA, Veeva, SP, claims, digital marketing) and strong understanding of compliance and privacy considerations.
  • Expert in delivering persuasive presentations, conveying complex advanced Data Science driven insights to non-technical audience, and mentoring others in presentation skills
  • 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
  • Demonstrated leadership in a matrix organization, able to motivate and inspire team members to high performance levels.
  • Flexibility to adapt to changing business needs and evolving technology landscapes.

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.

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:

USA - MA - Cambridge - Kendall Square - 500

U.S. Base Salary Range:

$154,400.00 - $242,550.00


The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. 

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. 

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

USA - MA - Cambridge - Kendall Square - 500

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time

Job Exempt

Yes

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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There are endless opportunities for people in science-related fields at Takeda. This is a company that focuses on the patients and their employees.

Tamara D. - Director, US Field Medical, GI

Patient centricity and the fact that we make decisions based on how they will impact the patient, trust, reputation and business – in that order – is what keeps me here. That is always steady.

Jill E. - Medical Affairs

It's comforting to know I have flexibility when it comes to managing my schedule and my family, especially through COVID. This flexibility gave me the time and capacity I needed to care of all of my responsibilities.

Tony P. - Managed Markets

I am overwhelmingly thrilled with Takeda's leadership, the care through COVID, and the decision making framework that prioritizes the patient, trust, reputation and business – in that order. It's all about building trust and honoring our commitments.

Dayna F. - Director, IG Community Support

The people here are fantastic. Everyone has been wonderful. The opportunities at Takeda are enormous. I don’t know why you would go anywhere else, incredible support system, everything a professional could ask for.

David M. - Sales

I love the fact that I am empowered to do what is right and what I need to do. If you are a person who likes to make decisions and be accountable and responsibile for your actions, this is the right company for you. If you want a company that cares for its employees, Takeda is a great fit for you.

Kristen H. - US Medical

Takeda walks the talk. When we say we value patients, trust, reputation and business – in that order – we mean it. The openness of Leadership, from Christophe to Ramona and others…it trickles down.

Barbara O. - Finance

Working at Takeda

  • Inclusion

    Here, you will feel welcomed, respected, and valued as a vital contributor to our global team.
  • Collaboration

    A strong, borderless team, we strive together towards our priorities and inspiring mission.
  • Innovation

    Bold initiatives, continuous improvement, and creativity are at the heart of how we bring scientific breakthroughs from the lab to patients.
  • Great Place to Work

    Recognized for our culture and ways of working, we’re proud to be Certified as a Great Place to Work® in 25 countries and regions.
  • Work-Life

    Our people-first mission extends beyond patients to include their families, communities, and our own Takeda family.
  • Empowerment

    Through trust and respect, you will have genuine support from leaders, managers, and colleagues to do your best work.

We're Steadfast In Our Commitment to Four Key Imperatives

Patient


Responsibly translate science into highly innovative medicines and accelerate access to improve lives worldwide.

People


Create an exceptional people experience.

Planet


Protect our planet.

Data & Digital


Transform Takeda into the most trusted, data-driven, outcomes-based biopharmaceutical company.

What we believe in

Our values of Takeda-ism are Integrity, Fairness, Honesty and Perseverance, with Integrity as the core. These are brought to life through actions based on Patient, Trust, Reputation and Business, in that order.

Our belief in putting people first extends beyond our patients — it includes their families and communities, as well as our Takeda colleagues and their families.

We are committed to embracing our differences, valuing different perspectives, and fostering a culture of respect, inclusiveness and empowerment.

Our embedded Diversity, Equity & Inclusion (DE&I) strategy enables us to attract and retain exceptional talent, drives innovation, and helps address systemic inequalities in our communities.

  • Integrity

  • Fairness

  • Honesty

  • Perseverance

Exterior of Takeda Building

About our location

Cambridge, Massachusetts


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