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Data Scientist Graduate Jobs in Indiana (NOW HIRING)

Actalent

Sample Handling Assistant

Indianapolis, IN

$18/hr

Associates or Bachelor's degree in Life Sciences is preferred. * Experience with industrial freezers and dry ice is beneficial. * Familiarity with data entry and tracking processes is advantageous.

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Data Scientist Graduate information

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$35.7K

$116.8K

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How much do data scientist graduate jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data scientist graduate 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 is a data scientist graduate?

A Data Scientist Graduate job is an entry-level role designed for recent graduates with a background in data science, statistics, computer science, or a related field. This position typically involves working with large datasets, building machine learning models, and extracting insights to support business decisions. Graduate data scientists collaborate with experienced professionals to develop analytical solutions while improving their technical skills. They often work with programming languages like Python or R, data visualization tools, and cloud-based platforms. This role provides practical experience and mentorship to help graduates transition into full-fledged data science roles.

What are the key skills and qualifications needed to thrive in the data scientist graduate position, and why are they important?

To thrive as a Data Scientist Graduate, you need a solid understanding of statistics, data analysis, and programming, typically supported by a degree in data science, statistics, computer science, or a related field. Familiarity with tools like Python, R, SQL, and machine learning libraries, as well as data visualization platforms such as Tableau, is often expected; certifications in these areas can be advantageous. Critical thinking, problem-solving, and strong communication skills help you interpret complex data and explain findings to non-technical stakeholders. These abilities are crucial for delivering actionable insights, collaborating across teams, and launching a successful career in data science.

What types of projects or tasks can a data scientist graduate expect to work on during their first year?

As a Data Scientist Graduate, you’ll typically work on tasks such as cleaning and preprocessing data, conducting exploratory data analysis, building and evaluating predictive models, and visualizing results. You may collaborate with more experienced data scientists on larger projects or support cross-functional teams in extracting insights from company data. Expect to use programming languages like Python or R for hands-on analysis, and contribute to regular meetings to discuss project progress and challenges. These experiences help build your technical skills and offer great exposure to real business problems, laying the groundwork for future advancement.

What are the most commonly searched types of Data Scientist Graduate jobs in Indiana? The most popular types of Data Scientist Graduate jobs in Indiana are:
What are popular job titles related to Data Scientist Graduate jobs in Indiana? For Data Scientist Graduate jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Scientist Graduate jobs in Indiana look for? The top searched job categories for Data Scientist Graduate jobs in Indiana are:
What cities in Indiana are hiring for Data Scientist Graduate jobs? Cities in Indiana with the most Data Scientist Graduate job openings:
Data Scientist Graduate jobs near you
Infographic showing various Data Scientist Graduate job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% 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.

Research Scientist - Computational Biologist

Elanco Animal Health Incorporated

Indianapolis, IN • On-site

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: Research Scientist - Computational Biologist
As a Research Scientist on our Discovery Research team, you will be at the forefront of Elanco's mission to deliver innovative biologics that improve animal health. You will leverage and develop state-of-the-art AI and structural modeling tools to predict, design, and optimize therapeutic antibodies and proteins. Partnering closely with our principal Computational Scientist and wet-lab teams, you will directly impact the speed and success of our pipeline, helping to create the next generation of animal health therapies. This role offers a unique opportunity to grow your skills in a rapidly evolving field while contributing to tangible, real-world outcomes.
Your Responsibilities:
  • Utilize and develop AI-driven tools (e.g., AlphaFold, Rosetta) to predict and design high-resolution structures of antibodies and other proteins, directly supporting our therapeutic biologics pipeline.

  • Apply generative AI and structural modeling techniques to design novel antibody and protein modalities from scratch, optimizing them for high-precision epitope targeting, affinity, and specificity.

  • Proactively identify and engineer out potential liabilities (e.g., aggregation, immunogenicity) and train novel structure-based ML architectures to enhance the developability of our biologic candidates.

  • Partner closely with wet-lab scientists to analyze experimental data, validate computational predictions, and rapidly iterate on designs to accelerate antibody selection and optimization.

  • Stay current with the evolving AI landscape by evaluating new tools, maintaining thorough documentation, and effectively communicating complex findings to cross-functional teams.

What You Need to Succeed (minimum qualifications):
  • Education: Ph.D. in Computational Biology, Bioinformatics, Structural Biology, Computer Science, or a related field.

  • Experience: 0-3 years of post-graduate experience applying computational methods to biological problems.

  • Top Skills: A strong foundation in structural bioinformatics and AI/ML modeling, with proficiency in a programming language like Python, and the communication skills to work effectively in a cross-functional scientific environment.

What will give you a strong edge (preferred qualifications):
  • Experience with de novo protein design tools, such as diffusion models or physics-based approaches.

  • A track record of applying computational tools to solve biological problems, evidenced by publications or significant project contributions.

  • Familiarity with cloud computing environments (e.g., AWS, GCP) and MLOps principles.

  • Experience in antibody or protein engineering and a foundational understanding of immunology.

  • A proactive mindset with a passion for staying current with the rapidly evolving AI landscape and a motivation to test and evaluate new methodologies.

Additional Information:
  • Travel: Minimal

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

Don't meet every single requirement? Studies have shown underrecognized 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

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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