
Data Scientist
2 weeks ago
Role Summary:
The applicant is expected to develop effective collaborations with relevant stakeholders including bench scientists, study statisticians, clinicians, development operations, pharmaceutical sciences, regulatory and safety. The responsibilities and effort for the position are divided approximately equally between project-specific collaboration, longer-term methodological research to support drug development, training, and external activities.
Role Responsibilities:
- Support the development and implementation of techniques based on state-of-the-art research and seek creative solutions through collaborations and interactions with other experts in drug development.
- Provide external influence through collaborative partnership, scholarship and professional networking with academic, government and industry statisticians and software engineers
- Increase expertise amongst Pfizer statisticians through dissemination of new AI and machine learning methodologies and training on software to implement these approaches.
- Translate business requirements into tangible solution specifications and high quality, on time deliverables
- Effectively use tools to manipulate and create large-scale databases from internal and external sources, to enhance business use cases.
Qualifications & Experience:
- Graduate with at least 1 year of relevant business experience or a fresh Ph. D with AI/ML/DL related qualification (Data Science, Computer Science/Engineering Statistics/Biostatistics.
- Python or R fluency
Other Skills:
- Familiarity with standard supervised and unsupervised machine learning approaches
- Knowledge of deep learning for NLP, particularly transformer-based models such as the BERT family
- Effective verbal and written communication skills in relating to colleagues and associates both inside and outside the organization.
- Ability to complement the team with new approaches such as network analysis, knowledge graphs, graph neural networks, etc. would highly desired
- Experience working in scalable computing would be a valuable supplement (AWS, Spark, Kubernetes, etc.)
- Experience in data visualization, user interfaces (Flask, Shiny, etc.), data pipelines and MLOps are a plus
- Experience as a technical consultant working between those with and without AI experience
- Knowledge of pharmaceutical area and chemistry/biology familiarity.
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
Medical
LI-PFE
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