Data Scientist
Multiple LocationsAt 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.
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Job Description
Join Takeda as a Data Scientist out of our Cambridge, MA location. The Data Scientist role is a collaborative, hands-on position that leverages data science to optimize the delivery of key information to business stakeholders. This is a core position of the Data Science team, which operates as a unique center of excellence that partners with franchises across Takeda’s US Business Unit. Our story is one of high impact with immediate results, leveraging our data, creativity, and perseverance with purpose to support better patient outcomes. As Data Scientist, you will play a key role in expanding our influence by building and implementing machine learning models and supporting their field execution. This is a rare opportunity where your contributions will have a meaningful impact. Many rare disease patients endure a years-long journey before receiving an accurate diagnosis and appropriate treatment. The models you will develop will enable delivery of the right information, at the right time, for the right HCP treating the right patient. The Data Scientist will directly impact patient outcomes by supporting faster diagnosis, treatment, and improved access to life-changing therapies.
How you will contribute:
Analytics
- Complete analytics (e.g., machine learning, artificial intelligence, advanced statistics) to support patient journey analysis and related analyses of interactions within the healthcare ecosystem
- Implement the ideal methodology to apply for each analysis or process based on data availability and limitations; demonstrate curiosity in proposing different approaches with the manager
- Implement repeatable, interpretable, dynamic, and scalable machine learning models that can be seamlessly incorporated into existing workflows
- Derive insights from research and analyses to address the needs of business stakeholders in close collaboration with the manager
- Process and analyses extensive health-related datasets, including Structured, Semi-structured, and Unstructured data
Collaboration
- Demonstrate curiosity by seeking different points of view and how analytics impact the business
- Connect technical and data skills to identify improvements throughout the project lifecycle
- Deliver analyses and reports in a timely manner for stakeholder readouts, internal project meetings, planning processes, and other business needs
- Work closely with the manager to scope data and technical requirements throughout the project lifecycle
Project Management
- Fulfill assigned role within a project team while delivering expected results
- Proactively work with manager to balance conflicting individual priorities and readily adapt to evolving business environments and stakeholder needs
- Ensure ethics and compliance guidelines are consistently met
- Collect, aggregate, and document project artifacts, including models, visualizations, outcomes
Minimum Requirements/Qualifications:
- Bachelor’s Degree in Computer Science, Engineering, Economics, Data Science, Marketing Analytics, Statistics or a relevant field required
- 2+ years of relevant data science experience required
- Experience in Machine Learning, including predictive modeling, clustering, feature selection methods, and regularization techniques required
- Strong statistics background with hypothesis testing, multivariate linear regression, nonparametric methods
- Proficiency in Python and SQL required
- Familiar with data visualization tools (e.g., Tableau, PowerBI) highly preferred
- Experience with causal inference, such as bootstrapping, regression discontinuity, synthetic controls
- Understanding of data models, databases and, and the art of storytelling through data
- Knowledgeable of experimental design, such as A/B testing, power calculations
- Demonstrated ability to translate business needs into data analytics concepts and vice versa
- Hands-on approach with a proven track record of successfully implementing and executing data-driven initiatives
- Travel Requirement 10% domestic travel. This may vary based on Takeda's work location and prioritized projects.
What Takeda can offer you:
- Comprehensive Healthcare: Medical, Dental, and Vision
- Financial Planning & Stability: 401(k) with company match and Annual Retirement Contribution Plan
- Health & Wellness programs including onsite flu shots and health screenings
- Generous time off for vacation and the option to purchase additional vacation days
- Community Outreach Programs and company match of charitable contributions
- Family Planning Support
- Flexible Ways of Working
- Tuition reimbursement
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.
In accordance with the CO Equal Pay Act, Colorado Applicants Are Not Permitted to Apply.
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 - 500Lexington, MAWorker Type
EmployeeWorker Sub-Type
RegularTime Type
Full timeWorking 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. -
Top Workplace
Recognized for our culture and way of working, we’re one of only 15 companies to receive Top Global Employer® status for 2023. -
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.
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