Why Patients Need You
Technology impacts everything we do. Pfizer’s digital and ‘data first’ strategy focuses on implementing impactful and innovative technology solutions across all functions from research to manufacturing. Whether you are digitizing drug discovery and development, identifying solutions, or making our work easier and faster, you will be making a difference to countless lives.
What You Will Achieve
The Pfizer Intelligent Assistance Solutions Team is responsible for the strategy and execution of Machine Learning (ML), Natural Language Process (NLP) and Applied Artificial Intelligence (Applied AI) related programs across the enterprise. Its mission is to innovate, build, deliver and maintain Applied AI and Generative AI base solutions, products and platforms that enable Pfizer to connect digitally with all our customers.
The Intelligent Assistance Solutions Team seeks a Machine Learning (ML) Lead Data who will be dedicated to leveraging data, advanced analytics, machine/deep learning, and recent advances in NLP and Generative AI to create breakthrough solutions that change patients' lives.
How You Will Achieve It
- Work closely with teams across Pfizer to maximize the use of NLP and Generative AI capabilities to support efforts focused on digitizing the enterprise by redefining existing internal business processes and how Pfizer engages with patients and healthcare providers.
- Develop efficient analytic pipelines that include components related to data acquisition, exploratory analysis, feature engineering, modeling, and interactive storytelling.
- Management, mentorship and development of Data Science/data science and/or AI ML engineering colleagues.
- Lead and execute on high value Proof of Concepts related to NLP and Generative AI.
- Serve as key point-of-contact for AI/ML-based opportunity assessment activities.
- Co-develop ML-based analytic AI re-usable microservices such as Entity Extractors, Sentiment Analyzers, Document Summarizers that will serve as the foundation for a scalable Applied AI solutions and products across Pfizer.
- Co-develop common patterns and approaches for building end to end NLP pipelines.
- Establish the right balance between POC delivery and maintenance, managing technical debt, and ML-focused exploratory investigations for new product ideas.
- Manage delivery goals through a combination of good planning, removing obstacles, technical mentoring, reviewing work, and fostering positive collaboration with product, design and other engineering teams.
- Partner with other Data Science & Advanced Analytics oriented groups within Pfizer to develop common tools & approaches through participation in formal/informal community of practice activities.
- Directly engage and clearly communicate vision and business value of ML-based initiatives to key business stakeholders (Director/Sr. Director/VP level).
- Contribute to critical talent acquisition and development activities through external partnerships and co-sponsored hackathons.
Qualifications
Must-Have
- 10+ years prior work experience in Life Science, Healthcare or associated consulting practice.
- 10+ years of work experience as a software engineer in machine learning, knowledge graphs, and data science.
- 6+ years of experience directly managing a team of software engineers or data scientists.
- 6+ years of hands-on programming experience in at least one of the following: SQL, Python, JAVA, C/C++.
- 5+ years ML coding experience (statistical learning, deep learning, Tensorflow/Keras, GCP/AWS).
- 3+ years experience working within AWS Ecosystem.
- Demonstrated track record of recruiting excellent engineers and data scientists and building a strong technical benchmark.
- Strong knowledge of agile scrum practices and experience in using those methods to deliver complex solutions.
- Ability to create technical examples, prototypes, and demonstrations based on rapidly changing data & tool sets.
- Ability to thrive in a fast-paced multi-disciplinary environment; with the ability to effectively communicate with a diverse audience.
- Demonstrated success embedding ML algorithms in production applications and applying MLOps in practice.
- Strong written and verbal communications skills.
General Skills Requirements
- Advisor/Consultancy: Provides well-informed advice, typically within a specific technical specialization, ensuring that it is properly understood and appropriately exploited, to enhance the effectiveness of significant activities.
- Technical Acumen: Maintains knowledge of specific technologies provides detailed advice regarding their application, executes specialized tasks.
- Thought Leadership & Advocacy: Develop awareness of industry developments and best practices Provide thought leadership in emerging technologies as they relate to AI and Conversational UI.
- Presentation Skills: Ability to develop visually simple and appealing PowerPoint presentations and be comfortable with articulating and communicating with the right authority and messaging to a broad range of stakeholders.
Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
Non-standard Work Schedule, Travel Or Environment Requirements
3-4 Days in the office. 10% local travel and flexibility to work across global time zones.
Work Location Assignment: Flexible
EEO & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status.
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