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Trainee Data Science Jobs in Alabama (NOW HIRING)

Labcorp

MLS Trainee Student Worker

Birmingham, AL · On-site

$33 - $41.50/hr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Labcorp is seeking an MLS Trainee Student Worker to join our team in Birmingham, AL. Job ...

Labcorp

MLS Trainee Student Worker

Birmingham, AL · On-site

$33 - $41.50/hr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Labcorp is seeking an MLS Trainee Student Worker to join our team in Birmingham, AL. Job ...

UAB NOVA RENT

SCIENTIST II

Birmingham, AL · On-site

... computing, data science, artificial intelligence, or a closely related field. The selected ... Mentor undergraduate students, graduate trainees, and post-doctoral fellows in modern AI methods ...

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Trainee Data Science information

See Alabama salary details

$34K

$111.2K

$178.1K

How much do trainee data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for trainee data science in Alabama is $111,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,300.00 and $123,300.00 per year, depending on experience, location, and employer.

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 Alabama?

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

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

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

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

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

What cities in Alabama are hiring for Trainee Data Science jobs?

Cities in Alabama with the most Trainee Data Science job openings:

Trainee Data Science jobs near you
Infographic showing various Trainee Data Science job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $111,249 per year, or $53.5 per hour.

Heersink School of Medicine-Instructor (Data Science)

The University of Alabama at Birmingham

Birmingham, AL

Full-time

Re-posted yesterday

University Of Alabama At Birmingham rating

7.7

Company rating: 7.7 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

262nd of 621 rated colleges and universities

Job description

Position Information
School/College School of Medicine Title Heersink School of Medicine-Instructor (Data Science) Assignment Category Full-Time Rank Instructor Tenure Status Non-Tenure Track Payroll Status Faculty 12 Job Description
We are seeking a highly motivated and skilled Instructor of Data Science to join the Department of Anesthesiology and Perioperative Medicine. The successful candidate will begin by providing insights and recommendations through advanced data analysis, contributing to various data science projects. Over time, the role will transition to leading a waveform lab, focusing on innovative research and development in healthcare data science. This transition will involve creating a team of PhD students, Post-Doctoral Fellows, and junior faculty.

Initial Responsibilities:
  1. Data Analysis and Hypothesis Testing: Utilize advanced mathematical, statistical, scientific, and computational techniques to develop, test, and validate hypotheses. Techniques may include probability models, artificial intelligence (AI), machine learning, data mining, pattern recognition, data visualization, predictive analytics, data warehousing, artificial intelligence, and other complex methods.
  2. Tool and Model Development: Develop new tools and models or integrate existing ones to analyze large and unstructured data sources, particularly with generative AI.
  3. Presentation of Findings: Prepare and present interpretations of data findings to internal and external clients.
  4. Mentorship: Mentor and train junior staff, faculty, and trainees, fostering a collaborative and educational environment.
  5. Collaboration: Work with university-wide resources (e.g., graduate CS department, informatics group, medical faculty and staff, epidemiologists, statisticians) to maximize data usage for improving patient outcomes.
  6. Knowledge Sharing: Demystify complex deep learning and statistical learning techniques, both in application to our data and in understanding published research.
  7. Project Support: Strengthen ongoing projects such as designing patient risk scorecards, waveform analysis, and generative AI integration.
Transitioning Responsibilities:
  1. Waveform Lab Leadership: Lead the establishment and development of a waveform lab within the data science team.
  2. Hiring and Training: Recruit, hire, and train PhD students, Post-Docs, and junior faculty, providing guidance and leadership in their research endeavors.
  3. Research Direction: Set the research agenda for the waveform lab, focusing on innovative applications of data science in anesthesiology.
  4. Funding and Grants: Secure funding through grants and other sources to support the lab's research activities.
  5. Collaboration Expansion: Expand collaborative efforts with other departments and institutions to enhance research output and impact.
  6. Academic Contributions: Contribute to the academic mission of the department through teaching, publishing research, and participating in academic conferences.

Required Qualifications
  1. PhD in Mathematics, Science, Data Science, Computer Science, Statistics, or a related field.
  2. Strong background in advanced data analysis techniques, including artificial intelligence, machine learning, data mining, and predictive analytics.
  3. Experience with large, unstructured data sources and the development of analytical tools and models.
  4. Proven track record of research and publication in relevant fields.
  5. Excellent communication skills, with the ability to present complex findings to diverse audiences.
  6. Experience in mentoring and training junior staff or students.
  7. Ability to work collaboratively across departments and with external partners.
Preferred Qualifications
  • Experience in healthcare data science, particularly in anesthesiology or a related medical field.
  • Prior experience in leading research teams or labs.
  • Demonstrated success in securing research funding.
Posting Detail Information
Posting Number F2666P Open Date 06/27/2025 Close Date Open Until Filled No Nondiscrimination Statement
UAB is an Equal Employment/Equal Educational Opportunity Institution dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, sex (including pregnancy), genetic information, age, disability, religion, and veteran's status. As required by Title IX, UAB prohibits sex discrimination in any education program or activity that it operates. Individuals may report concerns or questions to UAB's Assistant Vice President and Senior Title IX Coordinator. The Title IX notice of nondiscrimination is located at uab.edu/titleix.
Special Instructions to Applicants Pre-employment Background Check
A pre-employment background check investigation is performed on candidates selected for employment.
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About University of Alabama at Birmingham

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The University of Alabama at Birmingham is the heartbeat of Birmingham and an integral medical leader in the Southeast. The Birmingham campus is within walking distance of some of the best parks, entertainment, and dining in the region. UAB's three regional campuses expand their academic reach and responsibilities in addition to educating physicians in rural and underserved areas of the state. UAB is experiencing major and sustained investment and growth, due both to its exceptional research faculty and its culture of collaboration. Through concerted and strategic investments in its clinical and research enterprise, UAB has undergone an amazing transformation in the past five years and has strengthened its status and reputation as a leader in medical training, biomedical discovery, innovation, and patient care.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Birmingham, AL, US

Year founded

1859

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