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Internship Machine Learning R Jobs in St Louis, MO

Biomerieux

Sr. Data Scientist

Hazelwood, MO · On-site

... 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 ...

bioMerieux Inc.

Sr. Data Scientist

Hazelwood, MO · On-site

... 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 ...

BioFire Diagnostics

Sr. Data Scientist

Hazelwood, MO · On-site

... 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 ...

Micro1

Remote Data Scientist

Saint Louis, MO · Remote

Proficiency in programming languages such as Python, R, or similar for data manipulation and ... Background in developing and deploying machine learning solutions in production settings.J-18808 ...

Varsity Tutors

Business Analytics Tutor

Saint Louis, MO · Remote

$40/hr

Ability to explain statistical modeling techniques, machine learning basics, and business ... Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies ...

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Internship Machine Learning R information

See St Louis, MO salary details

$24.8K

$41.4K

$85.6K

How much do internship machine learning r jobs pay per year?

As of Jun 4, 2026, the average yearly pay for internship machine learning r in St. Louis, MO is $41,401.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What is the difference between Internship Machine Learning R vs Data Analyst Intern?

AspectInternship Machine Learning RData Analyst Intern
Required SkillsProficiency in R, basic machine learning concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
Work EnvironmentResearch labs, tech companies, startups focusing on AI/ML projectsBusiness environments, consulting firms, marketing agencies
Industry UsagePrimarily in tech, AI, and data science sectorsAcross various industries including finance, marketing, and healthcare

Internship Machine Learning R focuses on applying R programming to develop machine learning models, often in tech and AI sectors. In contrast, Data Analyst Internships emphasize data visualization, statistical analysis, and reporting across diverse industries. Both roles require data handling skills but differ in their focus on machine learning versus data interpretation.

Internship Machine Learning R jobs near you

Sr. Data Scientist

Biomerieux

Hazelwood, MO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 18 days ago

Job description

Description
bioMerieux's Data 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 bioMérieux 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

    Supervisory Responsibilities (Summary)
    • Direct supervision: 0
    • Indirect supervision: 0
    • Decision-making scope:
      • Short-term operational/tactical decisions with little-to-no supervisory review
      • Long-term strategic decisions require supervisory approval

    Working Conditions (Summary)
    • Ability to remain in a stationary position for prolonged periods - Yes
    • Ability to wear PPE correctly most of the day - Yes
    • Typical office setting
    • Domestic travel: 10%
    • International travel: 0%
    • Total travel: 10%

    The estimated salary range for this role is between $115,000 and $160,000. This role is eligible to receive a variable annual bonus based on company, team, and individual performance per bioMerieux's bonus program. This range may differ from ranges offered for similar positions elsewhere in the country given differences in cost of living. Actual compensation within this range is determined based on the successful candidate's experience and will be presented in writing at the time of the offer.
    In addition, bioMérieux offers a competitive Total Rewards package that may include:
    • A choice of medical (including prescription), dental, and vision plans providing nationwide coverage and telemedicine options
    • Company-Provided Life and Accidental Death Insurance
    • Short and Long-Term Disability Insurance
    • Retirement Plan including a generous non-discretionary employer contribution and employer match.
    • Adoption Assistance
    • Wellness Programs
    • Employee Assistance Program
    • Commuter Benefits
    • Various voluntary benefit offerings
    • Discount programs
    • Parental leaves
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