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Data Scientist

Planet Pharma

$43 - $53
Sep 9, 2025
Thousand Oaks, CA, US
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The Digital Data Scientist will support the Combination Product Operations organization by improving the way manages and utilizes data to enhance data analysis and decision making within the organization.

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
  • Familiar 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

Responsibilities

  • 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
  • Demonstrating critical and analytical thinking skills to explore new opportunities in in-silico and data-driven models for combination products.

Other

  • depending on experience
  • Strong communication, presentation, and technical documentation skills are a plus, as is knowledge of process controls
  • Understanding business needs and developing novel yet practical solutions to meet those needs
  • Experience with combination products and device regulatory requirements and medical device development and engineering
  • Ability to deliver work and provide positive leadership in a fast-paced, multi-project team-oriented environment