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Data Scientist Trainee Jobs in Indiana (NOW HIRING)

Asplundh Tree Expert, LLC

Office Assistant

Fort Wayne, IN

$13.75 - $18.25/hr

At every level--from management trainees to senior managers in field operations, sales, marketing ... Data entry, distribution of information, and project management * Perform other office-related work ...

Asplundh Tree Expert, LLC

Office Assistant

Fort Wayne, IN

$13.75 - $18.25/hr

At every level--from management trainees to senior managers in field operations, sales, marketing ... Data entry, distribution of information, and project management * Perform other office-related work ...

Ecolab

Pest Control Technician

South Bend, IN · On-site

$18.25 - $23.25/hr

As a Pest Control Technician Trainee, you'll be at the forefront of protecting public health and ... science-based solutions, data-driven insights and world-class service to advance food safety ...

Asplundh Tree Expert, LLC

Office Assistant

Fort Wayne, IN · On-site

$16.50 - $21.75/hr

At every level-from management trainees to senior managers in field operations, sales, marketing ... Data entry, distribution of information, and project management * Perform other office-related work ...

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All JobsData Scientist JobsData Scientist Trainee JobsData Scientist Trainee Jobs in Indiana

Data Scientist Trainee information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do data scientist trainee jobs pay per year?

As of Jul 24, 2026, the average yearly pay for data scientist trainee in Indiana is $116,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Scientist Trainee position, and why are they important?

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.

Is 40 too late for data science?

The Data Scientist Trainee role is accessible to individuals of various ages, and starting a career in data science at 40 is possible. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, as well as building a strong portfolio and gaining practical experience.

What is a Data Scientist Trainee job?

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 is a data scientist trainee?

A data scientist trainee is an entry-level position or program designed to train individuals in data analysis, statistical modeling, and machine learning techniques. Trainees typically learn to use tools like Python, R, and SQL while gaining practical experience in data-driven decision-making under supervision.

What are some typical projects or responsibilities for 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.

How to get a job as a data scientist with no experience?

To secure a data scientist trainee 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 relevant online courses, earning certifications, and working on personal or open-source projects can demonstrate your abilities to employers. Internships or entry-level roles can also provide practical experience and help you develop industry connections.

Is 30 too late for data science?

Age is not a barrier to becoming a data scientist trainee; many professionals successfully transition into data science later in life. Building relevant skills such as programming, statistics, and machine learning, along with certifications or projects, can help you enter the field regardless of age.
What are the most commonly searched types of Data Scientist jobs in Indiana? The most popular types of Data Scientist jobs in Indiana are:
What are popular job titles related to Data Scientist Trainee jobs in Indiana? For Data Scientist Trainee jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Scientist Trainee jobs in Indiana look for? The top searched job categories for Data Scientist Trainee jobs in Indiana are:
What cities in Indiana are hiring for Data Scientist Trainee jobs? Cities in Indiana with the most Data Scientist Trainee job openings:
Data Scientist Trainee jobs near you
Infographic showing various Data Scientist Trainee job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $116,793 per year, or $56.2 per hour.
Postdoctoral Fellow in Medical and Molecular Genetics

Postdoctoral Fellow in Medical and Molecular Genetics

Indiana University

Bloomington, IN • On-site

$45K - $61K/yr

Full-time

Posted 8 days ago

Job description

Posting Details
Position Details
Title
Postdoctoral Fellow in Medical and Molecular Genetics
Specific Title
Appointment Type
Postdoctoral Fellow
Department
IUSM - Medical & Molecular Genetics
Campus
IU School of Medicine Indianapolis
Position Summary
Postdoctoral Fellow in Statistical Genetics
The Department of Medical and Molecular Genetics at the Indiana University School of Medicine invites applications for a Postdoctoral Fellow to join the Human Evolutionary and Statistical Genetics (HESG) Lab.
The HESG Lab develops statistical and computational methods to understand human population history and the genetic basis of complex diseases. Our research sits at the intersection of population genetics, statistical genetics, and evolutionary disease genetics, with a particular emphasis on leveraging human genetic diversity to improve genetic discovery, fine-mapping, and biological interpretation.
The laboratory is currently supported by an NIH Pathway to Independence Award (K99/R00) from the National Institute of Mental Health (NIMH) and offers an outstanding environment for developing innovative quantitative methods, establishing independent research directions, and collaborating with investigators across Indiana University School of Medicine, the Broad Institute, and Massachusetts General Hospital.
Research in the HESG Lab spans three major areas. First, we develop population-genetic methods to reconstruct human population history and understand how migration, admixture, demographic change, and natural selection shape genetic diversity. Second, we develop statistical genetics methods for GWAS, fine-mapping, post-GWAS analysis, and disease-gene discovery. Third, we study evolutionary disease genetics by connecting human evolutionary history, genetic variation, and disease biology. Together, these efforts aim to transform human genetic diversity into a powerful resource for understanding complex disease mechanisms and advancing precision medicine.
Responsibilities
The successful candidate will have the opportunity to:
  • Develop novel statistical and computational methods for human genetics and complex disease research.
  • Conduct research in statistical genetics, population genetics, evolutionary disease genetics, and large-scale genomic data analysis.
  • Analyze genomic datasets from population biobanks, sequencing studies, psychiatric genetics studies, and other large-scale human genetics resources.
  • Lead independent research projects while working closely with the PI and multidisciplinary collaborators.
  • Publish research findings in leading peer-reviewed journals and present work at national and international scientific meetings.
  • Contribute to the generation of preliminary data, analytical frameworks, and methodological results that support NIH and foundation grant applications.

Training and Career Development
The HESG Lab is committed to providing a supportive and intellectually stimulating training environment. Postdoctoral fellows will receive close mentorship in developing independent research directions, writing manuscripts, presenting scientific findings, preparing grant and fellowship applications, mentoring junior trainees, and building a long-term career plan.
The position is well-suited for candidates interested in pursuing independent academic careers, research scientist positions, or leadership roles in human genetics, statistical genetics, computational biology, data science, or industry research.
What We Offer
IU School of Medicine is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana.
The successful candidate will join a newly established and rapidly growing research program with strong institutional and NIH support. The laboratory emphasizes methodological innovation, rigorous quantitative thinking, reproducible research, open science, and collaborative team science. Postdoctoral fellows will have opportunities to shape the scientific direction and culture of the lab while developing independent research programs that address fundamental questions in human genetics, population history, psychiatric genetics, and complex disease biology.
Dr. Yuan's prior work provides the foundation for the HESG Lab's current research directions. His statistical genetics work includes the development of SuSiEx, a cross-ancestry fine-mapping framework published in Nature Genetics, as well as contributions to large-scale complex disease genetics studies, including a Crohn's disease exome sequencing study published in Nature Genetics. His population and evolutionary genetics work includes ArchaicSeeker2, published in Nature Communications, for detecting archaic introgression and reconstructing complex introgression histories. Building on this background, the lab continues to develop methods for reconstructing complex population histories, including MultiWaver, MultiWaverX, HierMultiMix, and the recently published HiMWA framework. Together, these studies reflect the lab's long-term goal of developing rigorous statistical methods that connect human evolutionary history, genetic diversity, and complex disease biology.
Basic Qualifications
Required Qualifications
Applicants must have:
  • A Ph.D. in Statistics, Biostatistics, Genetics, Bioinformatics, Computer Science, Mathematics, Data Science, or a related quantitative discipline.
  • Strong quantitative, computational, and programming skills.
  • Excellent written and verbal communication skills.
  • Demonstrated ability to work both independently and collaboratively.
  • Strong interest in developing statistical or computational methods for human genetics.

Preferred Qualifications
Experience in one or more of the following areas is preferred:
  • Statistical genetics
  • Human genetics
  • Population genetics
  • Evolutionary genetics
  • Bayesian statistics
  • Machine learning
  • Large-scale genomic data analysis
  • High-performance computing

Experience in human population genetics, evolutionary genetics, or related quantitative analyses is considered a plus but is not required.
Department Contact for Questions
Application
Applicants should submit:
  • Curriculum Vitae
  • Brief statement of research interests and career goals
  • Contact information for three references

though the Indiana University academic careers portal via this link
https://indiana.peopleadmin.com/postings/33803Applications will be reviewed on a rolling basis until the position is filled.
Kai Yuan, PhD
Assistant Professor
Department of Medical and Molecular Genetics
Center for Computational Biology and Bioinformatics
Indiana University School of Medicine
Principal Investigator
Human Evolutionary and Statistical Genetics (HESG) Lab
Computational Methods for Population History and Complex Disease
Email: yuankai@iu.edu
Additional Qualifications
Special Instructions
Priority Application Review Deadline
Expected Start Date
Posting Number
IUSM-02470-2026

Apply