Sr Data Scientist

Scientific/R&D Hazelwood, Missouri

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Description

Position Summary
 bioMerieux’s Data Science group is looking for a Senior/Lead 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 and programming.
  • Performance of statistical analysis to interpret experimental results.
  • Design experimental methods and plans to generate results that drive critical product design selections.
  • 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 and data science both in academia and in industry.
  • Experience with SAS, Python, Java, SQL, 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 an ISO/ FDA regulated environment.
  • Familiarity with or interest in biology, microbiology and biochemistry.
 
Knowledge and Skills Required for the Position:
 
  • BS degree in Statistics, Mathematics, Applied Mathematics, Data Science or Biomedical Engineering with 10+ years of relevant work experience or higher 
  •  Advanced skill with statistical software (e.g., SAS, Python, R, MATLAB), data access/manipulation (e.g., SQL, pandas) Code samples to be provided upon request; Required
  • Expertise in statistics, optimization, data visualization, computer programming, and database systems.

BioFire Diagnostics, LLC. is an Equal Opportunity/Affirmative Action Employer. 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 BioFire Diagnostics’ 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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