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Data Scientist Trainee Jobs in Ohio (NOW HIRING)

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Data Scientist Trainee information

See Ohio salary details

$35.7K

$116.7K

$186.8K

How much do data scientist trainee jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data scientist trainee in Ohio is $116,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $129,300.00 per year, depending on experience, location, and employer.

What is a data scientist trainee?

A Data Scientist Trainee is an entry-level role designed for individuals looking to gain hands-on experience in data science. Trainees typically work under the guidance of senior data scientists, assisting with data collection, cleaning, analysis, and model development. They may use programming languages like Python or R, as well as tools like SQL and machine learning frameworks. This role helps build foundational knowledge in data science principles, statistical analysis, and data visualization. It is ideal for recent graduates or career switchers who want to develop practical skills before transitioning into a full-time data science role.

What are the typical responsibilities of a data scientist trainee?

As a Data Scientist Trainee, you will often assist with cleaning and organizing large datasets, performing exploratory data analysis, and developing basic predictive models under the guidance of more experienced team members. You may also help create data visualizations, build dashboards, or automate simple data processing tasks. Collaboration is key, as you’ll regularly work with senior data scientists, business analysts, and sometimes cross-functional teams to support ongoing projects and learn industry best practices. This role provides a valuable hands-on foundation, helping you build the technical and analytical skills necessary for future advancement in the field.

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

To thrive as a Data Scientist Trainee, you need a solid understanding of statistics, data analysis, and programming (preferably in Python or R), often supported by a degree in a quantitative field. Familiarity with tools like SQL, Jupyter notebooks, data visualization libraries, and entry-level certifications such as IBM Data Science Professional Certificate can be highly beneficial. Attention to detail, problem-solving ability, and a willingness to learn and collaborate help distinguish strong candidates in this role. These qualifications and competencies enable trainees to effectively support data projects, extract meaningful insights, and smoothly develop into more advanced data science positions.

Can I get a data scientist trainee job with no experience?

Data scientist trainee positions often target candidates with limited experience and focus on training and skill development. Having foundational knowledge in programming, statistics, and data analysis tools like Python or R can improve your chances, but some companies offer entry-level programs for beginners. Demonstrating a strong interest in data science through coursework, projects, or certifications can also be beneficial.

How to start a career in data scientist trainee with no experience?

To start a career as a data scientist trainee with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining hands-on experience with projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning frameworks can improve your prospects; obtaining relevant certifications can also enhance your resume.

What does a data scientist trainee do?

A data scientist trainee assists in analyzing data, developing models, and interpreting results under the supervision of experienced data scientists. They often learn programming languages like Python or R, work with data visualization tools, and gain practical experience in data cleaning, statistical analysis, and machine learning techniques.

What are the most commonly searched types of Data Scientist jobs in Ohio?

The most popular types of Data Scientist jobs in Ohio are:

What cities in Ohio are hiring for Data Scientist Trainee jobs?

Cities in Ohio with the most Data Scientist Trainee job openings:

Infographic showing various Data Scientist Trainee job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $116,687 per year, or $56.1 per hour.

$52K - $74K/yr

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Key responsibilities

  • Coordinate major activities in laboratory and research supporting pulmonary and critical care investigations, including specimen processing, assay performance, and animal research workflows.

  • Perform advanced biochemical, immunologic, and translational laboratory procedures independently, including complex assays and experimental methodologies.

  • Supervise and provide technical guidance to research assistants, technicians, and trainees involved in laboratory assays, animal studies, and research documentation.


Case Western Reserve University rating

8.3

Company rating: 8.3 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

127th of 631 rated colleges and universities


Job description

Case Western Reserve University is committed to providing a transparent estimate of the salary range available for this position at the time of its posting. The salary range is between $52,705 and $74,873, depending on qualifications, experience, department budgets, and industry data.
Employees receive more than just a paycheck. University employees enjoy a comprehensive benefits package that includes excellent healthcare, retirement plans, tuition assistance, paid time off, and a winter recess.
Job Description
POSITION OBJECTIVE
Working with a high degree of independence and under general direction, the Research Assistant 4 will coordinate major activities in medical and related technical areas. This individual will serve as a senior technical laboratory resource supporting both human biospecimen-based investigations and preclinical animal experimentation. Responsibilities include execution of advanced biochemical and immunologic assays, conduct of complex animal procedures including survival surgeries and perioperative care, laboratory workflow coordination, maintenance of regulatory and experimental records, and preliminary analysis of experimental findings. This position will function independently, provide technical expertise across multiple active projects, and offer flexible support based on laboratory workflow demands. This position works with animals.
ESSENTIAL FUNCTIONS
  1. Provide input and recommendation to principal investigator regarding significant developments in research projects including experimental progress, assay performance, animal model execution, troubleshooting of laboratory procedures, interpretation of preliminary biochemical and immunologic findings, and optimization of workflow across human and animal translational studies in pulmonary and critical care research. (15%)
  2. Coordinate major activities of laboratory and research activities supporting translational pulmonary and critical care investigations, including human biospecimen processing, biochemical assays related to hemolysis and immune function, animal research workflows, surgical study coordination, specimen tracking, laboratory scheduling, reagent inventory, regulatory documentation, and maintenance of efficient day-to-day laboratory operations. (25%)
  3. May supervise research assistants and technicians. May provide technical oversight, procedural guidance, workflow delegation, and training to research assistants, laboratory technicians, trainees, and junior personnel involved in laboratory assays, animal studies, specimen handling, and research documentation to ensure adherence to protocol and laboratory standards. (9%)
  4. Co-author research projects. Contribute to scholarly research activities through technical input related to experimental design, methodologic refinement, data interpretation, figure preparation, and assistance with manuscript development, abstracts, and scientific presentations arising from active translational research projects. (6%)
  5. Perform the most complex quantitative analytical procedures. Independently perform advanced biochemical, immunologic, and translational laboratory procedures, including assays associated with hemolysis biology, inflammatory mediator quantification, immunologic functional analyses, biospecimen processing, and other complex experimental methodologies requiring technical expertise, precision, quality control, and independent troubleshooting. (30%)
  6. Teach and instruct laboratory personnel, trainees, students, and research staff in appropriate laboratory methodologies, animal research procedures, assay execution, documentation practices, regulatory compliance, and technical best practices to ensure consistent and high-quality research performance. (6%)
  7. Assist in the development, refinement, and implementation of laboratory standard operating procedures, experimental workflows, documentation processes, and coordination of research activities with investigators, clinical research personnel, institutional animal research teams, and collaborating laboratories as needed. (9%)

NONESSENTIAL FUNCTIONS
Perform other duties as assigned. (<1>
CONTACTS
Department: Daily interaction with principal investigator, laboratory personnel, clinical research coordinators, technicians, and collaborating investigators regarding active studies, workflow management, experimental troubleshooting, and data review.
University: Regular interaction with animal resource personnel, institutional compliance offices, shared core facilities, biosafety personnel, and collaborating laboratories to exchange information.
External: Occasional contact with vendors, assay support teams, and external collaborators for technical coordination and procurement.
Students/Trainees: Occasional contact with fellows, residents, students, and junior laboratory personnel to support research activities and technical training.
SUPERVISORY RESPONSIBILITY
May supervise research assistants and technicians.
QUALIFICATIONS
Experience: 5 to 8 years of related experience required.
Education: Bachelor's degree in science required.
REQUIRED SKILLS
  1. Has knowledge of commonly-used concepts, practices, and procedures within a particular field.
  2. Relies on instructions and pre-established guidelines to perform the functions of the job.
  3. Ability to operate laboratory equipment.
  4. Ability to demonstrate successful support, education, and advocacy for all students, aligned with the values, mission, and messaging of the university, while adhering to the staff policy on conflict of commitment and interest.
  5. Ability to meet consistent attendance.
  6. Ability to interact with colleagues, supervisors and customers face to face.
  7. Willingness to learn and work with Artificial Intelligence (AI) tools and technologies.
  8. Must demonstrate compliance with university animal research and care (ARC) policies and procedures and compliance to regulations of the Animal Welfare Act, Public Health Service Policy, AAALAC guidelines and other applicable regulatory guidelines.
  9. Must demonstrate compassion for animals within university facilities and dedication to the Animal Resource Center's mission. Must handle animals with care and respect at all times.
  10. Must be able and willing to learn new techniques, procedures, processes, and computer gear to protect the health of the animals.
  11. Previous experience working with animals preferred.

WORKING CONDITIONS
General laboratory and animal research environment; procedural work requiring manual dexterity and fine motor precision. Position includes exposure to biological specimens, laboratory reagents and chemicals, research animals, sharps, anesthetic agents, and standard laboratory equipment. Personal protective equipment, including lab coat, gloves and goggles, will be provided to limit exposure to hazards. The employee will stand for prolonged periods, and lift laboratory supplies or equipment. Occasional schedule variability based on active experiments.
Case Western Reserve University's animal facilities are accredited by the Association for the Assessment and Accreditation of Laboratory Animal Care (AAALAC) and is managed according to the "Guide for the Care and Use of Laboratory Animals¿ appropriate Federal Animal Welfare Regulations, and the Public Health Service ¿Policy on the Humane Care and Use of Laboratory Animals." This position, and all animal research personnel, are subject to internal compliance to School of Medicine Animal Resource Center Standard Operating Procedures and to compliance regulations of the Animal Welfare Act, Public Health Service Policy, AAALAC guidelines, the State of Ohio Veterinary Practice Act, Federal Drug Enforcement Administration regulatory guidelines, US Food and Drug Administration Center for Veterinary Medicine regulations and other applicable regulatory guidelines.
EEO Statement
Case Western Reserve University is an equal opportunity employer. All applicants are protected under federal and state laws and university policy from discrimination based on race, color, religion, sex, sexual orientation, gender identity or expression, national or ethnic origin, protected veteran status, disability, age and genetic information.
Reasonable Accommodations
Case Western Reserve University complies with the Americans with Disabilities Act regarding reasonable accommodations for applicants with disabilities. Applicants requiring a reasonable accommodation for any part of the application and hiring process should contact the CWRU Office of Equity at 216-368-3066 to request a reasonable accommodation. Determinations as to granting reasonable accommodations for any applicants will be made on a case-by-case basis.
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