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Job Description
OBJECTIVES/PURPOSE (3-4 bullets, previously captured under scope)
We are inviting individuals with deep knowledge of machine learning and artificial intelligence to join us in the Shinrai Center for AI/ML at Takeda.
At the Shinrai Center, we're a team of scientists, engineers, machine learning experts and more, working together to advance the application of artificial intelligence in developing innovative medicine for patients. We like to solve problems, take initiative, pitch in when needed, and enthusiastic for trying new things. We are looking for more curious thinkers who like to tackle challenging, real-world problems in a rewarding environment where your contributions are valued and have a direct impact.
We're building a diverse team whose skills, experiences, and backgrounds complement one another. Extensive experience working in Pharma or Biotech is optional. A strong curiosity for a deeper understanding of human health and disease to deliver innovative medicine for patients is a must.
SCOPE (complete below, as it applies to role)
Financial:
Est. annual revenue range of accountability*:
Oku Yen
Est. annual budget of responsibility:
Oku Yen
Leadership/People:
No. of direct reports:
No. of indirect reports:
Geographic Scope:
Global:___X___
Regional:______
Country (-ies):
Global
*if applicable
ACCOUNTABILITIES (Describe the primary duties and responsibilities of the job. Include only the essential functions of the job. Approximately 5 - 10 bulleted task statements should be identified).
In this role, you'll
Educate, demonstrate, guide, and enable the application of AI/ML in various company operations and scientific domains
Champion the use of advanced data products to drive decision making and automation across the company and at all levels of the organization
Partners with data science teams, domain experts, and business units to identify and prioritize opportunities to leverage AI/ML to drive business value creation
Translate business needs into clearly scoped machine learning projects, and take a hands-on approach to steer solution design and implementation
Identify, monitor, and validate relevant external AI/ML developments, cultivate relationships with external domain experts and partners, and report and present emerging novel developments within the organization to further innovation and shape long-term strategy and governance.
Proactively build relationships across the company to inform your work and contribute to internal and external collaborations, through involvement in working groups, and the writing of insightful, engaging, and actionable opinion pieces that are easily digestible by internal decision makers and stakeholders.
Be the leading voice for building common capability and approaches and for adopting best practices
Work in collaboration with our Ethics and Governance teams to ensure our AI/ML applications are developed ethically and provide broad benefits to our patients and business
Help talented, driven, enthusiastic AI/ML engineers and data scientists across the company grow professionally
Measure, document, and communicate impacts of the Center's efforts
We are looking to hire in early- and mid-career levels. There are multiple openings across our candidate profiles. Further assessments will be completed to determine specific function and level of hired candidates.
To set you up for success at the Shinrai Center, we look for the following skills and experience:
EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS
A track record of partnering cross-functionally with a wide range of stakeholders and cross-functional teams to develop and deploy novel data solutions in production environments
Demonstrated passion for making complex technology more accessible and the ability to communicate complex technical topics simply and convincingly to a wide range of audiences
Demonstrated ability in translating big picture business and product ideas into micro use cases and has a strong focus on solving core problems to deliver simple solutions
Experience recognizing and communicating the implications of emerging technologies
Excellent communication, prioritization, and interpersonal skills, with a high level of attention to detail
An advanced degree (M.S., PhD.) in mathematics, applied statistics, computer science, machine learning or similar. With 8+ years of experience architecting, building, launching, and maintaining end-to-end ML systems from whiteboard to production at scale across a range of models and platforms. More specifically,
Demonstrated ability and authoritative knowledge in a variety of AI/ML problems and domains, with depth in at least two (computer vision, natural language processing, geometric deep learning, timeseries, reinforcement learning, multimodal learning, etc.)
Solid understanding of deep learning model architectures (C/RNN, attention/memory, autoregressive, etc.) and extensions (Transformer, LSTM, ResNet, etc.) as well as traditional ML models (k-means, KNN, decision trees, SVM, Bayesian/graphical models, Gaussian process, etc.) and their real-world advantages and drawbacks.
Experience tuning, validating, optimizing, visualizing, and debugging these models in applied settings
Familiarity with ML Ops concepts related to testing, retraining, and monitoring models in production
Experience in configuring and working in different coding environments (local, notebooks, containers) and using standard software engineering workflows (testing, code management/Git, CI/CD)
An enthusiasm to ask questions and try and learn new things is essential
Entrepreneurial experience is desirable.
Experience in life sciences and healthcare and experience in a complex global organization is a plus
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
