Data Scientist

About the Role

Key Responsibilities

• Supporting the development and lifecycle management of digital modeling assets and analyzing scientific and combination product performance data.
• Applying engineering principles to develop in-silico models for combination products.
• Developing, enhancing, automating, and managing analytics and data-driven models.
• Performing ad-hoc analysis and supporting special projects.
• Providing input to management for trend and failure investigation process improvements.
• Demonstrating modeling and visualization approaches as part of proof-of-concept projects.
• Transforming ambiguous business and technical questions into measurable and impactful projects.
• Exploring new opportunities in in-silico and data-driven models for combination products.

Requirements

• Experience with programming in Python, MATLAB, JMP, and/or Minitab for engineering purposes.
• Experience with model simulation and analysis (MS&A) techniques for structural, fluidic, and heat transfer problems using commercial software such as ANSYS, LS-Dyna, ABAQUS, COMSOL.
• Experience with mathematical/first principles modeling, numerical techniques, and uncertainty quantification such as Monte Carlo simulations.
• Familiarity with utilizing GitLab for version control, code collaboration, and project management.
• Data analysis expertise and statistical or mechanistic modeling experience.
• Experience in deriving technical recommendations and specifications from the analysis of measured data.
• Understanding business needs and developing practical solutions.
• Experience with combination products and device regulatory requirements and medical device development.

Nice to Have

• Passion for proactively identifying opportunities through creative modeling and data analysis.
• Ability to transform ambiguous questions into measurable projects.
• Partnering with multi-discipline digital teams to advance data analytics tools and algorithms.
• Ability to deliver work and provide positive leadership in a fast-paced, multi-project environment.
• Intellectual curiosity and rapid learning of new concepts, frameworks, algorithms, and technologies.

Qualifications

• Bachelor's degree in Engineering plus 5 years of relevant experience.
• Or Master's degree in Science or Engineering plus 2 years of relevant experience.
• Or Ph.D. in Science or Engineering with relevant experience.

Benefits & Perks

• Medical & pharmacy coverage
• Dental/vision insurance
• 401(k)
• Health saving account (HSA) and Flexible spending account (FSA)
• Life Insurance
• Pet Insurance
• Short term and Long term Disability
• Accident & Critical illness coverage
• Pre-paid legal & ID theft protection
• Sick time and other paid leaves
• Employee Assistance Program (EAP)