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Computational Biology Jobs in Indiana (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

South Bend, IN · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

micro1 AI

Bioinformatics Software Engineer

Fort Wayne, IN · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

micro1 AI

Cheminformatics Specialist - Remote

Carmel, IN · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

micro1 AI

Bioinformatics Software Engineer

Carmel, IN · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

micro1 AI

Cheminformatics Specialist - Remote

Fishers, IN · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

micro1 AI

Bioinformatics Software Engineer

Evansville, IN · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

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$46.2K

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How much do computational biology jobs pay per year?

As of Aug 24, 2026, the average yearly pay for computational biology in Indiana is $89,436.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $111,300.00 per year, depending on experience, location, and employer.

What is computational biology?

Computational biology is an interdisciplinary field that uses data analysis, mathematical modeling, and computer simulations to understand biological systems and relationships. Researchers in this area develop algorithms and software to analyze large sets of biological data, such as DNA sequences or protein structures. Computational biology plays a crucial role in genomics, drug discovery, systems biology, and personalized medicine, helping scientists make sense of complex biological information.

What are the key skills and qualifications needed to thrive as a computational biologist, and why are they important?

To thrive as a Computational Biologist, you need a strong background in biology, statistics, and computer science, often supported by a relevant degree such as bioinformatics, computational biology, or a related discipline. Familiarity with programming languages like Python or R, experience using bioinformatics tools (e.g., BLAST, Bioconductor), and knowledge of data analysis pipelines are typically required. Strong problem-solving, collaboration, and communication skills help computational biologists interpret complex datasets and work effectively with interdisciplinary teams. These competencies are crucial for extracting meaningful biological insights from large datasets and advancing research in genomics, drug discovery, and personalized medicine.

How do computational biologists typically collaborate with experimental scientists in research projects?

Computational biologists frequently work alongside experimental biologists to interpret data, design experiments, and develop new hypotheses. Collaboration often involves regular meetings to align on research goals, data sharing, and troubleshooting analytical challenges together. Being able to communicate complex computational findings in accessible terms is crucial for ensuring that experimental teams can act on the insights provided. This interdisciplinary teamwork not only enhances research outcomes but also broadens professional skill sets, making the role both dynamic and rewarding.

What is the difference between Computational Biology vs Bioinformatics?

AspectComputational BiologyBioinformatics
Required CredentialsTypically requires a PhD in biology, bioinformatics, or related fieldsOften requires a bachelor's or master's degree in computer science, biology, or bioinformatics
Work EnvironmentResearch labs, academia, biotech companiesResearch labs, healthcare, biotech, and pharmaceutical industries
Industry UsageUsed for modeling biological systems and understanding complex biological dataPrimarily focused on developing algorithms and tools to analyze biological data

Computational Biology and Bioinformatics are closely related fields that often overlap. Computational Biology emphasizes modeling and understanding biological systems through computational methods, often requiring advanced degrees. Bioinformatics focuses on developing tools and algorithms to analyze biological data, typically with a background in computer science or biology. Both roles are vital in research and industry, but they differ in their primary focus and educational requirements.

What can you do with a computational biology degree?

A computational biology degree prepares individuals for roles such as bioinformatics analyst, research scientist, or data scientist in healthcare, biotech, and pharmaceutical industries. Graduates use skills in programming, statistical analysis, and biological data interpretation to develop models, analyze genomic data, and support drug discovery. Proficiency in tools like Python, R, and databases is often required.

What are the most commonly searched types of Computational Biology jobs in Indiana?

The most popular types of Computational Biology jobs in Indiana are:

What are popular job titles related to Computational Biology jobs in Indiana?

For Computational Biology jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Computational Biology jobs in Indiana look for?

The top searched job categories for Computational Biology jobs in Indiana are:

Computational Biology jobs near you
Infographic showing various Computational Biology job openings in Indiana as of August 2026, with employment types broken down into 64% Full Time, 33% Part Time, and 3% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $89,436 per year, or $43 per hour.

Research Scientist - Computational Biologist

Elanco Animal Health Incorporated

Indianapolis, IN • On-site

Full-time

Retirement, PTO

Posted 18 days ago

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: 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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