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Bioinformatics Internship Jobs in Indiana (NOW HIRING)

Bioinformatics Internship information

See Indiana salary details

$8

$34

$77

How much do bioinformatics internship jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for bioinformatics internship in Indiana is $34.72, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $52.73 per hour, depending on experience, location, and employer.

What is a bioinformatics internship?

A Bioinformatics Internship is a temporary position designed for students or recent graduates to gain hands-on experience in applying computational and statistical techniques to biological data. Interns typically work with large datasets, develop algorithms, analyze genomic sequences, and assist in research projects. They may use programming languages like Python or R and tools such as BLAST or Next-Generation Sequencing technologies. This internship provides valuable exposure to the intersection of biology, data science, and computer science, helping interns develop practical skills for careers in bioinformatics, biotechnology, or computational biology.

What are the typical responsibilities of a bioinformatics intern?

As a Bioinformatics Intern, you can expect to assist in analyzing large-scale biological datasets, support data management and curation efforts, and help maintain or develop computational pipelines. You may also contribute to writing reports, creating data visualizations, and presenting your findings to both technical and non-technical team members. Many internships offer opportunities to collaborate with scientists and researchers from different backgrounds, providing a well-rounded, hands-on learning experience. Your daily tasks will vary depending on the project, but there's a strong emphasis on problem-solving and applying computational methods to address biological questions.

What are the key skills and qualifications needed to thrive in a bioinformatics internship?

To thrive as a Bioinformatics Intern, you need a foundational understanding of biology, programming (often in Python or R), statistics, and data analysis, typically gained through coursework or related research experience. Familiarity with bioinformatics tools such as BLAST, genome browsers, and experience with databases like NCBI or Ensembl are commonly expected. Attention to detail, critical thinking, effective communication, and teamwork are valuable soft skills in this field. These qualities enable interns to interpret complex biological data accurately and collaborate efficiently within multidisciplinary research teams.

What are the most commonly searched types of Bioinformatics jobs in Indiana? The most popular types of Bioinformatics jobs in Indiana are:
What are popular job titles related to Bioinformatics Internship jobs in Indiana? For Bioinformatics Internship jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Internship jobs in Indiana look for? The top searched job categories for Bioinformatics Internship jobs in Indiana are:
What cities in Indiana are hiring for Bioinformatics Internship jobs? Cities in Indiana with the most Bioinformatics Internship job openings:
Infographic showing various Bioinformatics Internship job openings in Indiana as of August 2026, with employment types broken down into 8% Internship, 1% As Needed, 65% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $72,224 per year, or $34.7 per hour.

Machine Learning & Computer Vision Scientist - R&D (Junior/Associate)

Elanco Animal Health Incorporated

Indianapolis, IN • On-site

$56K - $56K/yr

Full-time

Retirement, PTO

Posted 5 days ago


Elanco rating

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

51st of 86 rated pharmaceutical


Job description

At Elanco (NYSE: ELAN) - it all starts with animals!
As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People.
At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.
Making animals' lives better makes life better - join our team today!
Your Role: Machine Learning & Computer Vision Scientist - R&D (Junior/Associate)
As the Machine Learning & Computer Vision Scientist (Junior/Associate), you will help drive Elanco's R&D innovation by implementing and refining ML and computer-vision models that support faster, better-informed decisions. You will work closely with senior scientists and R&D stakeholders to turn proprietary molecular, in vitro, imaging, and digital endpoint data into predictive and classification models for target identification, molecular optimization, ADMET, and digital biomarkers in animal health.
Your Responsibilities:
  • Implement and refine ML/CV models under guidance, developing, training, and tuning models on R&D datasets (molecular, in vitro, imaging, behavioral) in collaboration with senior scientists to align with scientific objectives.
  • Prepare and manage datasets for modeling by cleaning, transforming, and merging data from multiple scientific sources, running exploratory analyses, and contributing to feature engineering and clear dataset documentation.
  • Support data collection, annotation, and synthetic data work by helping improve capture and labeling workflows for images, video, and assay data, assisting with annotation guidelines, and evaluating synthetic data and augmentation to improve sparse datasets and model robustness.
  • Assist with model evaluation and reporting by contributing to train/validation/test design, applying appropriate metrics and error analyses, and documenting methods, assumptions, limitations, and results for review and reuse.
  • Collaborate and grow ML/CV expertise by joining cross-functional project meetings, sharing learnings through short demos or presentations, and actively building knowledge in drug discovery, development, and ML/CV techniques.

What You Need to Succeed (minimum qualifications):
  • Education: Master's degree in a quantitative field (e.g., Data Science, Engineering, Mathematics, Physics, Statistics, Bioinformatics)
  • Required Experience: Early applied ML/CV experience: 0-3 years applying ML and/or computer vision to real datasets through academic projects, internships, industry roles, or open-source work, with evidence of hands-on model development and evaluation.
  • Top Technical and interpersonal skills: Proficiency in Python and familiarity with ML/CV libraries such as scikit-learn, PyTorch or TensorFlow, and OpenCV; understanding of core ML concepts and basic deep learning; and a collaborative, clear-communicating working style.

What will give you a competitive edge (preferred qualifications):
  • Scientific data and project experience: Exposure to scientific datasets (e.g., high-content imaging, histopathology, microscopy, behavioral video, assay data) and completed projects, theses, or publications showing applied ML/CV skills with scientific or healthcare relevance.
  • Technical craft and tooling: Familiarity with training deep learning models on GPUs, use of Git and reproducible workflows, and exposure to data platforms or cloud environments such as Databricks, Azure, or AWS.
  • Growth orientation and initiative: Demonstrated ability to learn quickly, iterate on models and analyses, and contribute to reusable code, tools, or documentation that improve team efficiency and quality.

Additional Information:
  • Travel: Up to 10%
  • Location: Global Elanco Headquarters - Indianapolis, IN - Hybrid Work Environment

Elanco Benefits and Perks:
We offer a comprehensive benefits package focusing on financial, physical, and mental well-being while encouraging our employees to pursue our purpose! Some highlights include:
  • Multiple relocation packages
  • Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)
  • 8-week parental leave
  • 9 Employee Resource Groups
  • Annual bonus offering
  • Flexible work arrangements
  • Up to 6% 401K matching

Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status
Elanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against job-related criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see our Elanco Workforce Privacy Notice.

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