Head of Data Strategy & Access at Method, connecting financial accounts to services. Drive critical data access negotiations with financial institutions while innovating the user experience.
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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