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Deep Learning Research Intern Jobs in Indiana (NOW HIRING)

Senior Research Scientist

Indianapolis, IN

$94K - $120K/yr

Your Role: Senior Research Scientist - Target Intelligence and Early Project Lead As a Senior ... ML and deep learning for target validation and phenotypic profiling. What will give you a ...

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Deep Learning Research Intern information

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How much do deep learning research intern jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for deep learning research intern in Indiana is $16.52, according to ZipRecruiter salary data. Most workers in this role earn between $13.89 and $18.51 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a deep learning research intern?

To thrive as a Deep Learning Research Intern, you need a strong grasp of machine learning fundamentals, programming skills (especially in Python), and a background in mathematics or computer science, often supported by relevant coursework or research experience. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and proficiency in using data processing and visualization tools are typically expected. Creativity, problem-solving abilities, and effective communication help interns contribute novel ideas and collaborate within research teams. These skills are vital for developing, testing, and presenting cutting-edge AI models and solutions in a fast-evolving field.

What does a deep learning research intern do?

A Deep Learning Research Intern assists in the development and experimentation of machine learning models, particularly neural networks, to solve complex problems in fields like computer vision, natural language processing, or robotics. They typically work under the guidance of experienced researchers, contributing to tasks such as data preprocessing, model training, and result analysis. Interns may also help implement and optimize algorithms, read and summarize research papers, and prepare reports or presentations on their findings. This role provides hands-on experience with state-of-the-art AI technologies and research methodologies.

What are some common challenges faced by deep learning research interns, and how can they overcome them?

Deep Learning Research Interns often encounter challenges such as managing complex datasets, tuning neural network architectures, and keeping up with the latest research developments. It's common to spend significant time troubleshooting code or optimizing models for better performance. Collaborating closely with mentors and team members, actively participating in research discussions, and consistently reading recent papers can help interns overcome these hurdles. Utilizing open-source tools and frameworks, along with clear documentation practices, also streamlines the research process.
What are the most commonly searched types of Deep Learning Research jobs in Indiana? The most popular types of Deep Learning Research jobs in Indiana are:
What cities in Indiana are hiring for Deep Learning Research Intern jobs? Cities in Indiana with the most Deep Learning Research Intern job openings:

Senior Research Scientist

Elanco

Indianapolis, IN

$94K - $120K/yr

Full-time

Retirement, PTO

Posted 2 days ago

New


Elanco rating

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

50th 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: Senior Research Scientist - Target Intelligence and Early Project Lead

As a Senior Scientist in the Mechanistic Biology team, you will lead novel target identification and validation across multiple animal diseases to build the drug discovery pipeline. This is a non-lab role focused on guiding cross-functional teams through early-stage drug discovery by leveraging advanced in vitro techniques, integrated AI/ML-driven platforms, and functional genomics. You will be responsible for accelerating the discovery cycle through high-throughput screening (HTS) approaches to rapidly move from Hit-to-Lead for both small molecules and biologics.

Your Responsibilities:

  • Target Identification & Discovery Innovation: Lead the identification and prioritization of novel targets using in vitro/in vivo experiments, literature reviews, bioinformatics, functional genomics, and AI/ML. Implement iterative "design-test-learn" and active learning cycles to optimize lead compounds and accelerate the discovery cycle.

  • Screening & Digital Discovery: Design and deploy high-throughput and multi-modal screening strategies-including biochemical, biophysical, and cellular approaches-to identify novel chemical and biological starting points. Leverage AI-augmented data analysis, digital phenotyping, and digital discovery platforms to accelerate candidate identification and minimize experimental costs.

  • Cross-Functional Discovery Leadership: Guide cross-functional teams through early drug discovery from initial concept through target validation, partnering closely with Computational Sciences, Chemistry, Medicinal Chemistry, Computational Biology, Technical Development, and Preclinical Development. Collaborate with Computational Sciences to develop machine learning models for hit expansion and property prediction.

  • Target De-risking, Biomarkers & Translational Models: Develop strategies to de-risk targets and enhance commercial viability by integrating Chemistry, Manufacturing, and Controls (CMC) considerations and assessing on-target/off-target safety risks. Develop and integrate biological, AI-enabled, and imaging biomarker strategies and translational in vitro disease models, including CRISPR/Cas9-edited primary cell lines and organoids, to accelerate discovery.

  • External Partnerships & Scientific Advancement: Manage external CRO partnerships and biotech collaborations, providing scientific expertise to support discovery campaigns including DNA-encoded library (DEL), phage display, and yeast display. Foster strategic research collaborations and stay at the forefront of study design, model development, and New Approach Methodologies (NAMs) to maintain a competitive edge in animal health research.

What You Need to Succeed (minimum qualifications):

  • Education: Ph.D. in Cell/Molecular Biology, Pharmacology, Biochemistry, or a related field with several years of postdoctoral training.

  • Experience: Professional experience in industry research and early-stage biotech/drug discovery, including CRO management and experience with integrated digital discovery and HTS platforms.

  • Top 2 skills:Expert in target identification and validation: Including biological assay development for small/large molecules and expertise in high-throughput approaches to validate and identify targets (e.g., DEL, virtual screening).Expertise in New Approach Methodologies (NAMs): Such as organoids/iPSCs and CRISPR/Cas9 screening, with high proficiency in using AI/ML and deep learning for target validation and phenotypic profiling.

What will give you a competitive edge (preferred qualifications):

  • 3 years of experience in a pharmaceutical company, preferably in animal health.

  • Demonstrated success identifying novel targets and a proven publication record.

  • Experience with generative AI (e.g., ProteinMPNN) for de novo protein design and affinity maturation.

  • Demonstrated ability to lead projects in a fast-paced, agile environment; ability to collaborate and influence cross-functionally

  • Working knowledge of applicable statistical principles and data analysis techniques.

  • Experience with compound library screening and biomolecular training (RNA-seq, omics, flow cytometry).

Additional Information:

  • Travel: up to 25 %

  • Location: Global Elanco Headquarters - Indianapolis, IN - Hybrid Environment

Don't meet every single requirement?Studies have shown underrepresented groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles!

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

#LI-RH1

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 jobrelated 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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