Reference: 630531
Posted: 2026-09-01
Location: Hazelwood, Missouri
Company: Planet Pharma Group
Contact: Applications
Email:
applications@staffingfuture.comData Science group is looking for an experienced Data Scientist to help develop solutions for the next generation product concepts that will have a direct impact on the future of medical diagnostics. The position involves all aspects of feasibility and design work focused on the application of mathematical techniques, data analytics, experiment design, algorithm design and statistical analysis to drive concepts from ideation through feasibility and into development. Algorithm design will involve image processing and machine learning methodologies from design to optimization. The position will include collaboration and interaction with other scientists and engineers while prototyping, integrating and testing the technology for the next generation of diagnostic products for hospitals and laboratories. Coordination as a project team member with marketing, project management, quality analytics, manufacturing, regulatory and other functional areas will be required. The Data Scientist is expected to prototype and design to the goals of functionality and operational utility while considering long term architecture, solution universality, practicality, connectivity, and schedule commitments. The position requires the ability to perform critical analysis, work well in teams, and self-manage.
Primary Duties:- Responsible for completeing tasks within the Data Science function, requiring close collaboration and coordination with other global engineering/scientific disciplines, departments, and third-party partners
- Encourages best practices in Data Science and lead the utilization of advanced theories, methods and research techniques in product development and manufacturing
- Mentoring others in the department on technology, methods and programming language utilization
- Build relationships with external development partners and prospective technology partners; co-develop and drive projects with these partners
- Represent Data Science on project teams and provides inputs to Project Management on a project-by-project basis. Provide Project Team inputs back to a sub-team of Data Scientists
- Candidate must be well grounded in fundamental and advanced concepts of applied mathematics, data analytics, statistics and image processing
- Performance of statistical analysis to interpret experimental results
- Design experimental methods and plans to generate results that drive critical product design selections
- Independent Development and implementation of algorithms using global software development tools, methodologies and processes
- Understanding and willingness to self-learn the technologies used in this domain to be up-to-date with the latest developments in data analytics, image processing and machine learning both in academia and in industry
- Enjoy working in areas outside of usual comfort zone and love to learn new technologies. Familiarity with or interest in biology, microbiology and biochemistry
- Proficient analytical, problem-solving and debugging skills. Must be able to perform in small team environment with minimal supervision
- Perform all work in compliance with company quality procedures and standards
- Perform other duties as assigned
Qualifications:
Required Education, Training, and Experience Bachelor degree required — Data Science, Applied Mathemetics/Statistics, Electrical Engineering, Computer Science, Biomedical Engineering 5 years of professional related experience with Machine Learning, Statistics, Image Analysis, Signal/Time Series Analysis and Programming expereince with Python or R, Code – samples to be provided upon request Preferred Education, Training, and Experience Masters or PhD preferred Work Exerpience in ISO or FDA regulated environment preferred Knowledge, Skills, and Abilities (KSAs) Consistently upholds and reflects the core ethical principles and values that company promotes Effective Presentation Skills – including the ability to present technical data Analyze data and make decisions/recommendations, using data to guide decision-making and provide suggestions for improvement Critical thinking, using logic and reason to analyze information and make decisions in the workplace Ability to work cross-functionally allowing for better collaboration and communication when working across teams to achieve shared objectives Skilled in MS Office tools to include but not limited to Outlook, Teams, Word, and Excel
