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Trainee Data Science Jobs in Missouri (NOW HIRING)

Presents scientific work both inside and outside the University with excellent oral communication ... All data, research records and materials and other intellectual property generated in University ...

... fostering scientific excellence, collaboration, and the professional development of trainees ... All data, research records and materials and other intellectual property generated in University ...

The successful candidate will be involved in projects to perform big-data research, bundling ... The candidate is expected to lead research projects, publish in leading scientific journals and ...

$17.10 - $29.09/hr

... scientists and trainees focused on advancing human digestive health through innovative and ... Performs data entry and maintains data files on research. * Coordinates tissue cultures, reagents ...

Responsible for generating the highest quality data and maintaining data in an appropriate manner ... Collegial conduct towards co-trainees, staff members and members of the research group. * Adherence ...

All data, research records and materials and other intellectual property generated in University ... Results Reporting, Scientific Writing Questions For frequently asked questions about the ...

All data, research records and materials and other intellectual property generated in University ... Results Reporting, Scientific Writing Questions For frequently asked questions about the ...

$80K - $94K/yr

... trainees. Job Responsibilities Design, perform and analyze molecular virology experiments ... Applicants with prior publications and presentations in biomedical science preferred. Strong ...

Showing results 41-60

Trainee Data Science information

What does a trainee data scientist do?

A Trainee Data Scientist assists in gathering, cleaning, and analyzing data to support business decisions. They work under the guidance of senior data scientists to learn about data modeling, statistical analysis, and using tools such as Python, R, or SQL. Their responsibilities often include preparing reports, visualizing data, and contributing to the development of predictive models. The goal is to build foundational skills and gain hands-on experience in the field of data science.

What are some common challenges faced by trainee data scientists during their initial projects, and how can they overcome them?

Trainee Data Scientists often encounter challenges such as working with messy or incomplete datasets, understanding complex business problems, and selecting the appropriate modeling techniques. Collaborating closely with experienced team members and seeking feedback can help trainees navigate these obstacles. Additionally, actively participating in code reviews and knowledge-sharing sessions accelerates learning and builds confidence in tackling real-world data science tasks.

What are the key skills and qualifications needed to thrive as a trainee data scientist, and why are they important?

To thrive as a Trainee Data Scientist, you need a foundational understanding of statistics, programming (often Python or R), and data analysis, usually supported by a relevant degree or coursework in mathematics, computer science, or engineering. Familiarity with data visualization tools (such as Tableau or Power BI), machine learning libraries (like scikit-learn or TensorFlow), and basic database systems is often expected. Strong problem-solving skills, curiosity, and effective communication help you interpret data insights and collaborate with team members. These skills are crucial for extracting actionable insights from data and contributing meaningfully to data-driven projects.

What is the difference between Trainee Data Science vs Data Analyst?

AspectTrainee Data ScienceData Analyst
Required CredentialsBasic degree in related field, entry-level certificationsDegree in statistics, mathematics, or related field, often with certifications
Work EnvironmentInternship or entry-level role in tech or finance companiesBusiness, finance, marketing departments across industries
Employer & Industry UsageStart of data career path, training-focused rolesData-driven decision making, reporting, and analysis

In summary, a Trainee Data Science role is an entry-level position focused on learning and developing skills in data science, often as part of an internship or training program. A Data Analyst typically has more experience in analyzing data, creating reports, and supporting business decisions. Both roles are essential in data-driven industries but differ mainly in experience level and scope of responsibilities.

Can you get into trainee data science with no experience?

Trainee data science roles often do not require prior experience and are designed for beginners. Candidates typically need foundational skills in programming, statistics, or data analysis, which can be gained through online courses or self-study. Demonstrating a willingness to learn and basic knowledge of tools like Python or Excel can improve chances of entry-level hiring.

How do I get a job in trainee data science with no experience?

To secure a trainee data science position with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, certifications, or projects can demonstrate your abilities to employers and improve your chances of entry-level roles.

What are the most commonly searched types of Data Science jobs in Missouri?

The most popular types of Data Science jobs in Missouri are:

What are popular job titles related to Trainee Data Science jobs in Missouri?

For Trainee Data Science jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Trainee Data Science jobs in Missouri look for?

The top searched job categories for Trainee Data Science jobs in Missouri are:

Infographic showing various Trainee Data Science job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Postdoctoral Research Associate - Molecular Microbiology

Washington University

Saint Louis, MO โ€ข On-site

Full-time

Re-posted 24 days ago


Job description

Location
SAINT LOUIS, MO 63110Position Summary
The position requires creativity, independence and willingness to work on an "out of the box" project. Picobirnaviruses (PBV)s are small double-stranded RNA viruses first discovered in human stool specimens that have been largely ignored by the scientific community. PBVs are highly prevalent and abundant in human enteric viromes and have been associated with multiple human disease. While they have been assumed to infect human and other vertebrate hosts for over 30 years, we have generated significant evidence that PBVs actually are the 3rd known group of RNA bacteriophages rather than eukaryotic viruses (e.g., Krishnamurthy et al, Virology 2018; Gan and Wang, PNAS 2023).
Projects will focus on defining the interactions of PBVs with their bacterial hosts both in vitro and in vivo in gnotobiotic mouse models and defining their impact on the microbiome and human health. Applicants must be comfortable working with a wide range of experimental approaches: NGS, bioinformatics, biochemistry, genetic screens, virological and bacteriological methods.
Job Description
Primary Duties & Responsibilities:
Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/.
Trains under the supervision of a faculty mentor including (but not limited to):
  • Assists with grant preparation and reporting.
  • Prepares and submits papers on research.
  • Assists in the design of research experiments.
  • Evaluates research findings and assists in the reporting of the results.
  • Conscientious discharge of their research responsibilities.
  • Maintains conformity with ethical standards in research.
  • Maintains compliance with good laboratory practice including the maintenance of adequate research records.
  • Engages in open and timely discussion with their mentor regarding possession or distribution of material, reagents, or records belonging to their laboratory and any proposed disclosure of findings or techniques privately or in publications.
  • Collegial conduct towards co-trainees, staff members and members of the research group.
  • Adherence to all applicable University policies, procedures and regulations. All data, research records and materials and other intellectual property generated in University laboratories remain the property of the University.

Working Conditions:
This position works in a laboratory environment with potential exposure to biological and chemical hazards. The individual must be physically able to wear protective equipment and to provide standard care to research animals.
Salary Range:
Base pay is commensurate with experience.
Applicant Special Instructions:
Interested applicants should submit the following documents to davewang@wustl.edu.
  • A cover letter outlining their research interest and qualifications.
  • A detailed CV, including list of publications.

The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.
Required Qualifications
Education:
Ph.D., M.D. Or Equivalent Terminal Or Doctoral Degree.
Certifications/Professional Licenses:
No specific certification/professional license is required for this position.
Work Experience:
No specific work experience is required for this position.
Skills:
Not Applicable
Driver's License:
A driver's license is not required for this position.
More About This Job
At WashU, postdoctoral appointments:
  • Have a 5-year term limit that includes previous experience.

Preferred Qualifications
Education:
No additional education unless stated elsewhere in the job posting.
Certifications/Professional Licenses:
No additional certification/professional licenses unless stated elsewhere in the job posting.
Work Experience:
No additional work experience unless stated elsewhere in the job posting.
Skills:
Collaboration, Data Analysis, Data Interpretations, Experimentation, Laboratory Operations, Laboratory Techniques, Researching, Results Reporting, Scientific Writing
Questions
For frequently asked questions about the application process, please refer to our External Applicant FAQ.
Accommodation
If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.
All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.
Pre-Employment Screening
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.
Benefits Statement
Washington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits.
EEO Statement
Washington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University's policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.