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Trainee Data Science Jobs in Missouri (NOW HIRING)

$77K - $116K/yr

TRAINING AND ADMINSTRATIVE DUTIES Provide statistical guidance to trainees and faculty. Work with ... Master's or Advanced Degree (PhD in Biostatistics, Statistics, Data Science, or a related ...

Post Doctoral Fellow

Saint Louis, MO · On-site

$47K - $64K/yr

... trainees in computational methods (optional, depending on interest) Required Qualifications * PhD in Computational Biology, Bioinformatics, Biostatistics, Data Science, Systems Biology, or a related ...

Post Doctoral Fellow

Saint Louis, MO · On-site

$47K - $64K/yr

... trainees in computational methods (optional, depending on interest) Required Qualifications * PhD in Computational Biology, Bioinformatics, Biostatistics, Data Science, Systems Biology, or a related ...

Contribute to program quality improvement efforts through participation in data collection ... Applied Science in Behavioral Health Support from an approved institution; or Four (4) years of ...

... data collection, evaluation, and reporting initiatives. • Maintain collaborative working ... Science in Behavioral Health Support from an approved institution; or • Four (4) years of ...

$65K - $112K/yr

Data Management, Evaluation and Reporting * Maintain trainee databases and program tracking systems ... Grant Writing Within A Scientific Academic Or Research Setting (5 Years), Post-Graduate Editing ...

Doctoral Research Faculty

Kansas City, MO · On-site

$47K - $64K/yr

Data science and artificial intelligence applications * Human genetics and genomics * Molecular and ... Train and mentor undergraduate students, graduate trainees, postdoctoral fellows, pediatric ...

... data analysis, and dissemination. PRIME-KS (NIH U01): A multi-site implementation science study ... Developed competency in mentoring junior researchers, including Kenyan trainees. There may also be ...

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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.

$77K - $116K/yr

Full-time

Re-posted 26 days ago


University Of Rochester rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

126th of 620 rated colleges and universities


Job description

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.

Job Location (Full Address):

601 Elmwood Ave, Rochester, New York, United States of America, 14642

Opening:

Worker Subtype:

Regular

Time Type:

Full time

Scheduled Weekly Hours:

40

Department:

400129 Surgery Research

Work Shift:

UR - Day (United States of America)

Range:

UR URG 113

Compensation Range:

$77,600.00 - $116,400.00

The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

Responsibilities:

The Department of Surgery seeks a Bioinformatics Analyst II to provide biostatistical and methodological support to surgery faculty conducting clinical, translational, and health services research. This position functions as a shared departmental resource, collaborating with investigators across divisions to strengthen study design, analytic rigor, grant competitiveness, and scholarly dissemination. This role is within the Department of Surgery and supports multiple divisions. The position provides opportunities for scholarly collaboration, co-authorship, and professional development within an academic medical center. The Bioinformatics Analyst II contributes to scholary output and strengthens the biostatistics aspects of research to improve competitiveness of grants and manuscripts. They may participate in additional professional development activities to support their growth.

ESSENTIAL FUNCTIONS

  • Advanced BIOSTATISTICS CONSULTING PRE-AWARD Provide biostatistical consultation prior to grant submissions for study design, analysis, and interpretation.

  • Complex Statistical ANALYSIS FOR GRANTS AND MANUSCRIPTS Conduct statistical analyses using appropriate and reproducible methods. Advise on data structure, data quality, missing data, and analytic assumptions

  • GRANT DEVELOPMENT and Strategic research SUPPORT

    Support grant development (e.g., NIH, society, foundation, industry), including power/sample size calculations and statistical methods sections

  • MANUSCRIPT DEVELOPMENT AND REPORTING Contribute to manuscripts, including statistical methods, results, tables, and figures; participate as a co-author when appropriate. Ensure compliance with institutional, regulatory, and reporting standards.

  • COLLABORATION AND COMMUNICATION: Work closely with research teams to translate biological questions into computational solutions. Present technical progress and challenges clearly to technical and non-technical stakeholders.

  • TRAINING AND ADMINSTRATIVE DUTIES Provide statistical guidance to trainees and faculty. Work with the surgery research office to update regarding ongoing activities and future biostatistical needs

MINIMUM EDUCATION & EXPERIENCE

  • Bachelor's degree required

  • Master's or Advanced Degree (PhD in Biostatistics, Statistics, Data Science, or a related quantitative discipline) preferred

  • 3 years of relevant experience required

  • Experience working in an academic medical center and with NIH-funded research preferred
    or equivalent combination of education and experience


KNOWLEDGE, SKILLS AND ABILITIES

REQUIRED

  • Experience with Azure/AWS or other cloud platform development/deployment
  • Experience with statistical programming and data visualization using R/Bioconductor and UNIX/Linux programming
  • Experience with interface, networking, and data warehousing technologies, as well as design, relational database technologies, and performance tuning
  • Proven track record executing multiple work streams and producing consistent results
  • Able to create novel techniques, programs and systems by innovation or by extracting/synthesizing features or elements from other systems, databases and/or programs at all phases inception, design, testing, implementation, evaluation and future progression and development
  • Ability to create a cascade of interrelated experiments, programs and/or systems that execute, analyze and construct upon the previous and in scientific succession
  • Competency with Python, JAVA, Perl, C++, and Cloud computing


PREFERRED

  • Expert knowledge of statistical methods to translate complex data into actionable insights
  • Ability to work independently using professional judgement in selecting statistical methods
  • Excellent verbal and written communication skills, with the ability to present complex information in a clear and concise manner
  • Strong problem-solving skills with a strategic mindset
  • Experience with data visualization tools such as Tableau, Power BI, or similar
  • Strong understanding of statistical analysis and predictive modeling
  • Ability to work collaboratively
  • Ability to contribute to grants, peer-reviewed publications, and research demands
  • Strong organizational skills
  • Proficiency in coding ability (R, SAS, Stata) for data processing and analysis, Advanced statistical analysis, or similar statistical software
  • Familiarity with clinical research and bringing advanced analysis to different research faculty
  • Data engineering, programming, scientific data management, statistical methods for scientific and clinical research,
  • Web interface, design and development experience, Javascript, Python/Flask or related programming experience, including source control tools such as GIT

The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University's Mission to Learn, Discover, Heal, Create - and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status,or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.


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