Associate Director, AI/ML

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Job Description

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, based in Cambridge, MA. 

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.

ACCOUNTABILITIES

• Educate, demonstrate, guide, and enable the application of AI/ML in various pharmaceutical R&D operations and scientific domains

• Partners with data science teams, domain experts, and business units to identify and prioritize opportunities to leverage machine learning to drive decision making and automation across all levels of the R&D organization

• 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

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 6+ 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, such as: Experience in fine tuning large language models for domain specific applications. Experience in designing transfer learning strategy to enable learning from small datasets. 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, Autoencoders, 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

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. 

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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.

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