Planet Pharma
Overview
Data Scientist role at Planet Pharma. Pay range: 43-53/hr. The Digital Data Scientist will support the Combination Product Operations organization by improving the way data is managed and utilized to enhance data analysis and decision making. This role focuses on development and lifecycle management of digital modeling assets and analyzing scientific and combination product performance data. The candidate will leverage in-silico and data-driven modeling to evaluate opportunities that enable changes in business and operation performance. The ideal candidate enjoys tackling challenges and enables insights for decision making using data-driven and physics-based modeling. Responsibilities
Apply engineering principles to develop in-silico models for combination products Develop, enhance, automate, and manage analytics and data-driven models Perform ad-hoc analysis and support special projects; provide input to management for trend and failure investigation process improvements Demonstrate modeling and visualization approaches as part of proof-of-concept projects Transform ambiguous business and technical questions into measurable and impactful projects Demonstrate critical and analytical thinking to explore new opportunities in in-silico and data-driven models for combination products Qualifications
Bachelor\'s degree in Engineering plus 5 years of simulation, modeling, and data analysis experience Or Master\'s degree in Science or Engineering plus 2 years of simulation, modeling, and data analysis experience Or Ph.D. in Science or Engineering (simulation, modeling, and data analysis) 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 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 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 measured data Strong communication, presentation, and technical documentation skills; knowledge of process controls is a plus Understanding business needs and developing practical solutions Experience with combination products and device regulatory requirements and medical device development and engineering Preferred Traits
Passion for proactively identifying opportunities through creative modeling and data analysis Transform ambiguous business and technical questions into measurable and impactful projects Partner with multi-discipline digital teams to advance data analytics tools/features (predictive/prescriptive algorithms and machine learning) Ability to deliver work and provide positive leadership in a fast-paced, multi-project team environment Intellectual curiosity with ability to learn new concepts/frameworks rapidly Ability to manage multiple competing priorities simultaneously Ability to work in highly collaborative, cross-functional environments Legal and Equal Opportunity
The Planet Group of Companies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Location details and additional job postings may be listed elsewhere in the original content; this description focuses on the role of Data Scientist at Planet Pharma.
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Data Scientist role at Planet Pharma. Pay range: 43-53/hr. The Digital Data Scientist will support the Combination Product Operations organization by improving the way data is managed and utilized to enhance data analysis and decision making. This role focuses on development and lifecycle management of digital modeling assets and analyzing scientific and combination product performance data. The candidate will leverage in-silico and data-driven modeling to evaluate opportunities that enable changes in business and operation performance. The ideal candidate enjoys tackling challenges and enables insights for decision making using data-driven and physics-based modeling. Responsibilities
Apply engineering principles to develop in-silico models for combination products Develop, enhance, automate, and manage analytics and data-driven models Perform ad-hoc analysis and support special projects; provide input to management for trend and failure investigation process improvements Demonstrate modeling and visualization approaches as part of proof-of-concept projects Transform ambiguous business and technical questions into measurable and impactful projects Demonstrate critical and analytical thinking to explore new opportunities in in-silico and data-driven models for combination products Qualifications
Bachelor\'s degree in Engineering plus 5 years of simulation, modeling, and data analysis experience Or Master\'s degree in Science or Engineering plus 2 years of simulation, modeling, and data analysis experience Or Ph.D. in Science or Engineering (simulation, modeling, and data analysis) 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 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 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 measured data Strong communication, presentation, and technical documentation skills; knowledge of process controls is a plus Understanding business needs and developing practical solutions Experience with combination products and device regulatory requirements and medical device development and engineering Preferred Traits
Passion for proactively identifying opportunities through creative modeling and data analysis Transform ambiguous business and technical questions into measurable and impactful projects Partner with multi-discipline digital teams to advance data analytics tools/features (predictive/prescriptive algorithms and machine learning) Ability to deliver work and provide positive leadership in a fast-paced, multi-project team environment Intellectual curiosity with ability to learn new concepts/frameworks rapidly Ability to manage multiple competing priorities simultaneously Ability to work in highly collaborative, cross-functional environments Legal and Equal Opportunity
The Planet Group of Companies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Location details and additional job postings may be listed elsewhere in the original content; this description focuses on the role of Data Scientist at Planet Pharma.
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