Data Scientist

ScheduleStandard working hours (Hybrid : 3 days on-site/week)SummaryThe ideal candidate is a Data Scientist with a strong engineering background, preferably in Mechanical, Biomedical, or Chemical Engineering, with proven experience in simulation, modeling, and data analysis within a GMP-regulated environment.They are proficient in Python, MATLAB, and Minitab, and possess a deep understanding of engineering principles applied to physical systems.The candidate holds either a PhD with no required industry experience, a Master’s degree with at least 2 years of experience, or a Bachelor’s degree with a minimum of 4 years of experience.They are highly analytical, collaborative, and adaptable, with the ability to translate experimental data into actionable insights.Candidates with degrees in Computer Science, Electrical Engineering, or Computer Engineering, or those with purely software-focused backgrounds, are not a fit for this role.The Digital Data Scientist will support the Combination Product Operations organization by improving the way companymanages and utilizes data to enhance data analysis and decision making within the organization. We are seeking a highly motivated individual who will be primarily responsible for development and lifecycle management of digital modeling assets and analyzing scientific and combination product performance data. This individual will leverage in-silico and data-driven modeling to evaluate potential opportunities that enable changes in business and operation performance.Top 3 Must Have Skill SetsExperience with programming in Python, MATLAB, JMP, and/or Minitab for engineering purposesExperience with model simulation and analysis (MS&A) techniques for structural, fluidic, and heat transfer problems using commercial software such as ANSYS, LS-Dyna, ABAQUS, COMSOLExperience with mathematical/first principles modeling, numerical techniques, and uncertainty quantification such as Monte Carlo simulationsDetailsThe ideal candidate enjoys tackling challenges and excels at enabling insights for decision making using data-driven and physics-based modeling.This may include, but is not limited to, the following:Applying engineering principles to develop in-silico models for combination productsDeveloping, enhancing, automating, and managing analytics and data-driven modelsPerforming ad-hoc analysis and supporting special projects; Providing input to management for trend and failure investigation process improvementsDemonstrating modeling and visualization approaches as part of proof-of-concept projectsTransforming ambiguous business and technical questions into measurable and impactful projectsDemonstrating critical and analytical thinking skills to explore new opportunities in in-silico and data-driven models for combination products.SkillsFamiliar with utilizing GitLab for version control, code collaboration, and project managementData analysis expertise and statistical or mechanistic modeling experienceExperience in deriving technical recommendations and specifications from the analysis of measured dataStrong communication, presentation, and technical documentation skills are a plus, as is knowledge of process controlsUnderstanding business needs and developing novel yet practical solutions to meet those needsExperience with combination products and device regulatory requirements and medical device development and engineeringPreferred TraitsPassion for proactively identifying opportunities through creative modeling and data analysisTransform ambiguous business and technical questions into measurable and impactful projectsPartner with multi-discipline digital teams (data analysts, data engineers, data scientists, and business product owners) to advance data analytics tools/features (such as predictive/ prescriptive algorithms and machine learning)Ability to deliver work and provide positive leadership in a fast-paced, multi-project team-oriented environmentIntellectual curiosity with ability to learn new concepts/frameworks, algorithms and technology rapidly as needs ariseAbility to manage multiple competing priorities simultaneouslyAbility to work in highly collaborative, cross-functional environmentsBasic QualificationsBachelor'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)Day to Day ResponsibilitiesApplying engineering principles to develop in-silico models for combination productsDeveloping, enhancing, automating, and managing analytics and data-driven modelsPerforming ad-hoc analysis and supporting special projects; Providing input to management for trend and failure investigation process improvementsDemonstrating modeling and visualization approaches as part of proof-of-concept projectsTransforming ambiguous business and technical questions into measurable and impactful projectsDemonstrating critical and analytical thinking skills to explore new opportunities in in-silico and data-driven models for combination products.US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran #J-18808-Ljbffr

Created: 2025-09-17