Data Scientist II at LexisNexis applying statistical analysis and building predictive models for fraud and credit risk. Collaborating with teams to enhance existing products and provide actionable insights.
About the role
- Sr Data Scientist creating innovative AI tools for product lifecycle and regulatory processes in biotech. Collaborating with engineering teams to enhance data-driven decision-making and compliance.
Responsibilities
- Design and implement end-to-end data solutions to support the authoring, management, and analysis of product development and regulatory documentation
- Develop and deploy AI-driven tools to automate and enhance product development workflows and lifecycle processes
- Build intuitive data visualizations and dashboards to communicate complex insights to cross-functional stakeholders
- Collaborate with business and technical partners to identify opportunities for data science, automation, and digital transformation across product lifecycle activities
- Support and enhance data integration pipelines, ensuring data quality, accessibility, and compliance
- Promote and enable adoption of digital tools and AI capabilities across the organization through collaboration, training, and documentation
- Develop and create data products for the authoring and development of regulatory fillings
- Develop, train, and support cross-functional teams in using digital tools and data products, ensuring effective adoption and long-term value creation
- Collaborate with stakeholders to gather requirements, create user stories, and develop business cases that clearly articulate the value and benefits of digital solutions and data-driven approaches
- Operate autonomously to drive stakeholder engagement, promoting the adoption of new technologies and data products to enhance the combination product lifecycle
Requirements
- High school diploma / GED and 10 years of Engineering experience OR Associate’s degree and 8 years of Engineering experience OR Bachelor’s degree and 4 years of Engineering experience OR Master’s degree and 2 years of Engineering experience OR Doctorate degree
- Advance Degree in Engineering (Mechanical, Biomedical, or Chemical)
- A minimum of 3 years of experience working in a regulated environment, ensuring compliance with 21 CFR 820 and MDR
- A minimum of 3 years of experience in data analytics, including the use of data and statistical methods
- Experience designing and deploying data solutions across the full stack—from data centric solution from ingestion and transformation to analytics and visualization
- Strong proficiency in scripting language like Python and Query Languages like SQL
- Demonstrated expertise with coding and/or AI platforms, including tools like ChatGPT
- Knowledge of statistical analysis, data visualization, and basic machine learning or AI concepts
- Experience leading technical teams, including prioritizing tasks and managing resources
- Strong knowledge of device regulatory requirements, medical device development, engineering processes, and design controls
- Experience in developing and executing design plans, protocols, reports, and risk assessments for medical devices
- Understanding of Six Sigma methodologies and application of statistical tools for problem-solving
- Excellent written and verbal communication skills, with the ability to thrive in a highly matrixed team environment
Benefits
- A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions
- group medical, dental and vision coverage
- life and disability insurance
- flexible spending accounts
- A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
- Stock-based long-term incentives
- Award-winning time-off plans
- Flexible work models, including remote and hybrid work arrangements, where possible
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