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Machine Learning Trainee Jobs in Bloomington, IN

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Machine Learning Trainee information

What kind of projects and tasks can I expect to work on as a machine learning trainee?

As a Machine Learning Trainee, you'll typically assist with data preprocessing, exploratory data analysis, model implementation, and performance evaluation under the guidance of senior data scientists or engineers. You may help clean and organize datasets, experiment with different algorithms, and document your findings. Collaboration is a key part of the role, as you'll often work alongside cross-functional teams, including software developers and business analysts, to support ongoing projects. This hands-on experience provides a strong foundation for advancing to more specialized or independent roles in machine learning.

What is the difference between Machine Learning Trainee vs Data Scientist?

AspectMachine Learning TraineeData Scientist
Required CredentialsBasic understanding of programming, statistics, and machine learning concepts; often pursuing or recent graduatesAdvanced degree (Master's or PhD) in data science, statistics, or related fields; more experience
Work EnvironmentEntry-level, training-focused roles in tech companies, startups, or research labsFull-fledged data analysis, modeling, and decision-making roles in various industries
Employer & Industry UsageCompanies hiring for entry-level machine learning roles, internships, or training programsOrganizations leveraging data science for strategic insights, product development, or research

The main difference between a Machine Learning Trainee and a Data Scientist lies in experience, responsibilities, and skill level. Trainees are typically beginners gaining foundational knowledge, while Data Scientists are experienced professionals performing complex data analysis and modeling tasks.

What are the key skills and qualifications needed to thrive as a machine learning trainee?

To thrive as a Machine Learning Trainee, you need a solid understanding of mathematics, programming (especially Python), and foundational machine learning concepts, often supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, and data visualization libraries, as well as version control systems such as Git, is commonly expected. Strong problem-solving abilities, eagerness to learn, and effective communication help trainees excel in collaborative and fast-evolving environments. These skills and qualities are crucial for quickly adapting to new technologies, understanding complex data, and contributing meaningfully to machine learning projects.

What is a machine learning trainee?

Machine Learning Trainees are entry-level professionals or students who are learning the fundamentals of machine learning, including algorithms, data analysis, and model development. They often work under the guidance of experienced data scientists or engineers to gain hands-on experience with real-world datasets and tools. Their responsibilities may include data preprocessing, implementing basic models, and assisting in research or software development. This role is typically designed to help individuals build foundational skills needed for more advanced machine learning positions.
What are the most commonly searched types of Machine Learning jobs in Bloomington, IN? The most popular types of Machine Learning jobs in Bloomington, IN are:
What are popular job titles related to Machine Learning Trainee jobs in Bloomington, IN? For Machine Learning Trainee jobs in Bloomington, IN, the most frequently searched job titles are:
What job categories do people searching Machine Learning Trainee jobs in Bloomington, IN look for? The top searched job categories for Machine Learning Trainee jobs in Bloomington, IN are:
Machine Learning Trainee jobs near you
Infographic showing various Machine Learning Trainee job openings in Bloomington, IN as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Postdoctoral Fellow in Pediatrics

Indiana University

Bloomington, IN • On-site

$45K - $61K/yr

Full-time

Re-posted 20 days ago

Job description

Posting Details
Position Details
Title
Postdoctoral Fellow in Pediatrics
Specific Title
Appointment Type
Postdoctoral Fellow
Department
IUSM - Pediatrics
Campus
IU School of Medicine Indianapolis
Position Summary
The Schwaderer Lab is dedicated to uncovering the biological mechanisms underlying kidney diseases, particularly those with immune-mediated components such as kidney infections, kidney stones, and glomerular disorders. Our research integrates cutting-edge approaches to understand how immune responses contribute to kidney injury and disease progression.
In addition, we focus on biomarker discovery to identify children at risk for developing kidney disease and to guide personalized treatment strategies. By leveraging advanced technologies in genomics, proteomics, and metabolomics, our goal is to improve early detection, predict disease outcomes, and develop targeted interventions that enhance patient care and long-term kidney health.
Bioinformatics and Biomarker Analysis in Kidney Disease The Nephrology and Urology Research Group at Indiana University School of Medicine seeks a highly motivated individual to join our team in advancing the understanding of kidney disease through cutting-edge bioinformatics and biomarker research. This position focuses on the integration and analysis of complex biological data to identify and validate kidney disease biomarkers. Research Focus Our program leverages multi-omics platforms (including proteomics, metabolomics, transcriptomics), targeted biomarker arrays, and advanced computational approaches to:
Characterize biomarker profiles across kidney tissue, serum, urine, and other biological samples. Integrate multi-modal datasets to uncover mechanisms underlying kidney disease progression and treatment response. Apply advanced microscopy image analysis and spatial transcriptomics to link molecular signatures with tissue architecture. Develop predictive models for disease diagnosis, prognosis, and therapeutic targeting.
Experimental and Analytical Approaches
Bioinformatics and computational biology for multi-omics integration and biomarker discovery. High-dimensional data analysis from targeted arrays and imaging platforms. Coordination of biological sample pipelines (kidney biopsy, serum, urine) for comprehensive biomarker profiling. Utilization of machine learning and image processing for advanced tissue analysis.
The Herman B Wells Center for Pediatric Research conducts basic science and translational research within the Department of Pediatrics at Indiana University School of Medicine. The Wells Center houses more than 300 faculty investigators, staff, and trainees seeking answers to the most pressing questions related to childhood illness. With the collaboration between scientists and physicians, the center aims to increase knowledge of causes and mechanisms of serious pediatric diseases. Our goal is to develop innovative approaches to the diagnosis and treatment of sick children in Indiana and beyond.
IUSM 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.
Basic Qualifications
PhD in bioinformatics, molecular biology, nephrology, urology, or a related field
Department Contact for Questions
Andrew Schwaderer, MD
schwadea@iu.edu
Additional Qualifications
Preferred Qualifications
Experience in bioinformatics, computational biology, or related fields. Familiarity with omics data analysis, biostatistics, and image analysis tools. Strong programming skills (R, Python) and knowledge of relevant databases and pipelines. Candidates with peer-reviewed publications, excellent communication skills, and collaborative mindset will be prioritized.
Collaborative Environment The successful candidate will join a multidisciplinary team with expertise in nephrology, urology, molecular biology, and computational science. Access to patient samples, state-of-the-art imaging facilities, and high-performance computing resources will support translational research aimed at improving kidney health.
Special Instructions
Priority Application Review Deadline
Expected Start Date
Posting Number
IUSM-02341-2026

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