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Job Description

 

Job Title: Data / AI Scientist

 

Primary Location: Cambridge, MA

Secondary Location: Zurich, Switzerland

 

 

About the role:

We are looking for an experienced and driven Data / AI Scientist to join the Digital Innovation and AI team within Global Manufacturing & Supply / Global Quality Data Digital & Technology (GMS/GQ DD&T). Our team strives to be a leader in digital and presenting new ideas amongst our peers in the pharmaceutical industry – we identify capability gaps, design digital solutions, accelerate experimentation, conduct market research, and improve business operations end-to-end. We are a small team, so you should be prepared to roll up your sleeves and flex a wide variety of skills. You will be able to adapt quickly to shifting priorities, manage through ambiguity, while keeping focus on key strategic opportunities

 

 

How you will contribute:

• Work across GMS/GQ to define the technical problem statement, identify hypothesis to test, and develop novel ways to meet objectives utilizing cutting-edge techniques and tools
• Effectively communicate the analytics approach and how it will address business objectives, in a manner that is easy for technical and non-technical audiences to comprehend
• Create repeatable, interpretable, dynamic, and scalable models that can be seamlessly incorporated into analytic data products
• Be creative in combining internal and external data sources to engineer features
• Appropriately leverage open source algorithms and fine-tune them for specific needs
• Understand how to utilize different supervised and unsupervised learning techniques, when to apply them, and how to remove biases
• Design and develop test automation, and potential scaling roadmap
• Establish methods, set standards, suggest governance to ensure model integrity
• Document model development and outcomes that will be stored for regulatory purposes
• Collaborate, coach, and learn with a growing team of data scientists with varying levels of expertise in the field
• Collaborate cross-functionally with different back-end and front-end engineering teams
• Be a solid team player with no direct reports, and have a strong ability to influence others

 

Skills and Requirements:

 

• 7+ years real-world experience applying expertise in artificial intelligence through use of machine learning and data mining, to design, prototype, and build next generation analytics
• Industry experience developing and training deep learning models in the life-sciences domain
• Hands-on development of AI solutions that comply with sound ethical use of data, government regulations, and industry standards
• Experience with Agile product development and expert user of Jira, Confluence, Data Bricks, Python or R, Spark, and Hive
• Make recommendations and guide other engineers on how to remove technical road-blocks
• Knowledge of public cloud infrastructure
• Firm grasp of industry, digital, and artificial intelligence trends and market conditions
• Enjoys teaching others who are less knowledgeable about the latest industry trends and technologies
• Comfortable working with structured and unstructured data, where data validation and cleaning may be needed
• Experience building custom solutions on Microsoft 365 platform,
• Experience in biopharmaceutical or manufacturing industry, is a plus

 

 

Where You Will Be:

• We have a hybrid working environment
• Primary office location for this role will be Lexington / Cambridge MA
• We are a global organization with many colleagues in the US Eastern and Central European time zones

 

 

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
• Professional training and development opportunities
• Tuition reimbursement

 

 

Important Considerations:

At Takeda, our patients rely on us to deliver quality products. As a result, we must follow strict rules in our manufacturing facilities to ensure we are not endangering the quality of the product. In this role, you may:

 

• Work in a controlled environment requiring special gowning and wear protective clothing over the head, face, hands, feet and body. This may include additional hearing protection for loud areas.
• Need to remove all make-up, jewelry, contact lenses, nail polish and/or artificial fingernails while in the manufacturing environment.
• Work in a cold, wet environment.
• Work multiple shifts, including weekends, or be asked to work supplemental hours, as necessary.
• Work around chemicals such as alcohol, acids, buffers and Celite that may require respiratory protection.

 

 

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 posting excludes Colorado applicants.

 

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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.

Worker Type

Employee