Gilead is looking to improve clinical trials and other business operations through the development and implementation of innovative data and Machine Learning solutions.
Requirements
- An academic focus on Artificial Intelligence / Machine Learning.
- Significant experience in end-to-end data science techniques, including data engineering, statistical analysis, modeling, visualization, presentation and warehousing.
- Significant experience building Machine Learning models and libraries.
- Strong programming skills in key languages used by Data Science, e.g., Python, SQL etc., with proven capabilities to manipulate large and sophisticated datasets using distributed computing technologies.
- Significant experience engineering and architecting data lakes, data warehouses and big data storage and platforms on AWS.
- Significant experience working with modern high-performance columnar storage formats.
- Strong proficiencies in problem-solving, algorithm design and complexity analysis.
Responsibilities
- Plays a key role in the ongoing continuous improvement of descriptive statistics, data engineering, model building and evaluation, prediction, visualization and automation for business use.
- Plays a lead role in development of team and department-level standards, tools and templates.
- Provides matrix leadership to small teams in the development and maintenance of data science processes and applications.
- Defines and designs the overall data science solution architecture for assigned groups or projects.
- Designs data science workflows for the assigned area, incorporating best practice statistical analysis, data engineering, automation and visualization, deep learning and other contemporary machine learning techniques, models and tools.
- Builds, implements, tests, deploys and maintains innovative data and Machine Learning solutions to improve clinical trials and other business operations.
- Performs statistical analysis of results to tune / refine Machine Learning models.
Other
- Significant experience leading data science projects and project teams with a minimum of 2 years’ cross-functional project management or leadership experience.
- Demonstrated ability to be a fast learner.
- Demonstrated ability to be flexible and adaptable to change, to move between projects easily and provide support/expertise where needed.
- Proven analytical abilities with high attention-to-detail as demonstrated through past experiences and/or academic achievements.
- When needed, ability to travel.
