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Trainee Data Science Jobs in Missouri (NOW HIRING)

... junior trainees and contributing to a positive laboratory environment. Candidates should have ... analyze data, troubleshoot technical challenges, and critically interpret scientific findings.

All data, research records and materials and other intellectual property generated in University ... The ideal applicants will have a PhD or MD/PhD in biological sciences or related fields with less ...

... scientific leadership, mentorship, career development, and close interaction with the PI, trainees ... Works with PI to monitor laboratory data management practices to ensure compliance with ...

Scientific Communication: Take aggressive ownership of your projects. Analyze data rigorously ... You will guide these trainees in advanced immunological techniques and experimental design ...

Analyzes, interprets, summarizes, and compiles data. * Operates and maintains relevant animal ... Collegial conduct towards co-trainees, staff members and members of the research group. Working ...

$26.25 - $39.36/hr

... care and scientific discovery. We are seeking a highly motivated, technically skilled ... Performs data entry of patient and specimen information and carefully documents all assays.

Associate's degree in clinical laboratory science (laboratory science) OR degrees in either HT or ... Clinical Data Review & Documentation: Summarize patient medical history from requisition forms ...

New

... Science Jacco Boon Lab WashU in St. Louis Want your research to help decide how the next pandemic ... Your data will directly shape the design of next-generation countermeasures. About the Boon Lab 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 ...

A history of team science and innovation is encouraged. Primary Duties & Responsibilities ... All data, research records and materials and other intellectual property generated in University ...

We are seeking a motivated and curious scientist with strong experience in immunology and molecular ... All data, research records and materials and other intellectual property generated in University ...

Showing results 21-40

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.

Full-time

Re-posted 13 days ago


Washington University In St. Louis rating

7.7

Company rating: 7.7 out of 10

Based on 124 frontline employees who took The Breakroom Quiz

262nd of 620 rated colleges and universities


Job description

LocationST. LOUIS, MO 63110 Position SummaryThe Pereira Laboratory in the Department of Radiology at WashU Medicine is seeking a highly motivated Postdoctoral Research Associate to join a multidisciplinary, NIH-funded research program at the interface of molecular imaging, antibody engineering, cancer biology, drug development, and translational oncology.
Our laboratory develops next-generation antibody-drug conjugates (ADCs), molecular imaging agents, and targeted therapeutics to improve cancer diagnosis and treatment. We combine protein engineering, chemical biology, molecular imaging, computational biology, and spatial transcriptomics to understand therapeutic response and accelerate translation from preclinical discovery to clinical application.
The successful candidate will have experimental and analytical skills, excellent scientific writing and communication abilities, and the capacity to work both independently and collaboratively. Candidates should be highly motivated, organized, and eager to integrate experimental and computational approaches to address translational research questions while mentoring junior trainees and contributing to a positive laboratory environment. Candidates should have demonstrated research experience in one or more of the following areas: antibody engineering, antibody-drug conjugates (ADCs), cancer biology, molecular imaging, or chemical biology. Experience with computational analysis of spatial transcriptomics or other high-dimensional datasets and strong data management skills are highly desirable.
We are seeking an independent and collaborative scientist interested in developing innovative antibody-based therapeutics while integrating computational approaches to study tumor biology and mechanisms of response and resistance.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):


  • Design and execute independent research projects focused on antibody engineering, ADC development, molecular imaging, and theragnostic agents.
  • Develop and evaluate novel antibody conjugates using molecular, cellular, biochemical, and in vivo approaches.
  • Perform cancer biology studies using cell lines, patient-derived models, and mouse models.
  • Analyze and integrate molecular imaging, spatial transcriptomics, and other multi-omics datasets to identify biomarkers and mechanisms of therapeutic response.
  • Develop computational workflows for spatial biology and imaging data analysis using R, Python, or related tools.
  • Design experiments, analyze data, troubleshoot technical challenges, and critically interpret scientific findings.
  • Organize, manage, and integrate experimental datasets in compliance with laboratory, institutional, and NIH data management and reproducibility standards.
  • Prepare manuscripts, fellowship applications, grant proposals, and present research at national and international scientific meetings.
  • Mentor graduate students and other laboratory trainees while contributing to a collaborative research environment.

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.

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

Preferred Qualifications:

  • Ph.D. in Cancer Biology, Chemical Biology, Biochemistry, Biomedical Engineering, Pharmaceutical Sciences, Immunology, Bioinformatics, Computational Biology, Chemistry, or a related discipline.
  • Experience in one or more of the following areas is highly desirable: Antibody engineering, ADC development, protein conjugation, or chemical biology; spatial transcriptomics, single-cell genomics, bioinformatics, or computational biology; molecular imaging, radiochemistry, or image analysis.
  • Strong written and verbal communication skills, scientific independence, and enthusiasm for interdisciplinary research are essential for this position.
  • Candidates with expertise in either experimental or computational research (and a willingness to develop complementary skills) are strongly encouraged to apply.
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, Communication, Data Analysis, Data Interpretations, Experimentation, Laboratory Operations, Laboratory Techniques, Organizing, Researching, Results Reporting, Scientific Technical Writing, Scientific Writing, Self Motivation, Work Collaboratively, Working IndependentlyQuestions

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 emailCandidateQuestions@wustl.eduor 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 ScreeningAll 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 StatementWashington 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 StatementWashington 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.

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About Washington University in St. Louis

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Washington University in St. Louis, often simply known as WashU, is a prestigious private research university in the United States. Headquartered in Saint Louis, Missouri, the university operates within the Education industry offering an array of undergraduate and postgraduate programs encompassing various areas like arts, sciences, business, design, medicine, and engineering. Established in 1853, the university has a storied past rooted in determination, resilience, and commitment to knowledge and innovation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Saint Louis, MO, US

Year founded

1853