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Data Scientist

This job posting is no longer active.

Location: Saint Louis, United States
Position Type: Unfixed Term
Job Function: Other

A family-owned company, bioMérieux has grown to become a world leader in the field of in vitro diagnostics. For almost 60 years and across the world, we have imagined and developed innovative diagnostics solutions to improve public health. Today, our teams are spread across 44 countries and serve 160 countries with the support of a large distribution network. This includes our SLC site, formerly known as BioFire Diagnostics.

Position Summary

 bioMerieux’s Data Science group is looking for a 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 statistical and machine learning methodologies from design to optimization. Additionally the Data Scientist will be required to support currently launched products, including manufacturing process development, quality analytics, product evolution and change requests.

 

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.

 

Key Qualifications:

  • Candidate must be well grounded in fundamentals of applied mathematics, data analytics, statistics or related engineering concepts like Six Sigma and Lean manufacturing.
  • Performance of statistical analysis to interpret experimental results.
  • Design experimental methods and plans to generate results that drive critical product design selections
  • Experience with machine learning.
  • 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, imaging and machine learning both in academia and in industry.
  • Experience with MATLAB, SAS, Python, etc.
  • Excellent written and verbal communication skills and the ability to interact well within a team.
  • Experience with analytical, problem-solving and debugging skills.
  • Must be able to perform in a small team environment
  • Enjoy working in areas outside of usual comfort zone and love to learn new technologies.
  • Ability to perform in a ISO/ FDA regulated environment.
  • Familiarity with or interest in biology, microbiology and biochemistry

Knowledge and Skills Required for the Position:

  • B.S. in Mathematics, Applied Mathematics, Statistics, Data Science, Biomedical, Electrical or Computer Engineering or Computer Science. Desired: M.S. Degree or 2+ years of work experience.
  • Proficient use of Development environments, MS Office Project, Excel, Word; Required.
  • Experience with Matlab, Python or equivalent programming experience. Code samples to be provided upon request; Required

BioMérieux Inc. and its affiliates are Equal Opportunity/Affirmative Action Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Please be advised that the receipt of satisfactory responses to reference requests and the provision of satisfactory proof of an applicant’s identity and legal authorization to work in the United States are required of all new hires. Any misrepresentation, falsification, or material omission may result in the failure to receive an offer, the retraction of an offer, or if already hired, dismissal. If you are a qualified individual with a disability, you may request a reasonable accommodation in BioMérieux’s or its affiliates’ application process by contacting us via telephone at (385) 770-1132, by email at [email protected], or by dialing 711 for access to Telecommunications Relay Services (TRS).

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