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Senior Computational Scientist 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 ... Collaborate with Computational Sciences to develop machine learning models for hit expansion and ...

... scientist. * Recent (last ~5 years) representative publications in the relevant subfield, with ... modeling and computational validation. * Demonstrated skill in reviewing the work of others ...

... scientist. * Recent (last ~5 years) representative publications in the relevant subfield, with ... modeling and computational validation. * Demonstrated skill in reviewing the work of others ...

Data Analytics & Computational Sciences Job Sub Function: Multi-Family Data Analytics ... Ability to translate complex data into clear, actionable insights for senior stakeholders. * Proven ...

New

$116K - $153K/yr

The stack is React, Three.js, and WebGL on the front end, with a C++ computational engine on AWS at ... Collaborate across disciplines with clinical scientists, UX designers, ML engineers, and QA to ...

As the Senior Machine Learning & Computer Vision Scientist, you will accelerate Elanco's R&D ... Bioinformatics, Computational Chemistry), or a Master's degree with substantial handson ML/CV ...

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Senior Computational Scientist information

How does a senior computational scientist typically collaborate with interdisciplinary teams in research projects?

Senior Computational Scientists frequently work alongside experts from fields such as biology, physics, engineering, and data science. They are responsible for translating complex scientific questions into computational models, guiding data analysis, and ensuring that computational methods align with project goals. Effective communication and project management skills are essential, as these professionals often lead discussions, present findings, and coordinate technical solutions across varied teams. This collaborative environment fosters innovation and allows for continuous learning from diverse scientific perspectives.

What are the key skills and qualifications needed to thrive as a senior computational scientist?

To thrive as a Senior Computational Scientist, you need advanced expertise in computational methods, statistical analysis, programming (such as Python or R), and typically a Ph.D. or equivalent experience in a quantitative field. Familiarity with high-performance computing environments, scientific software (e.g., MATLAB, TensorFlow), and version control systems is commonly required. Strong problem-solving abilities, leadership, and effective communication help in collaborating across multidisciplinary teams and managing complex projects. These skills are critical for developing innovative computational solutions and driving impactful research outcomes.

What does a senior computational scientist do?

A Senior Computational Scientist develops and applies advanced computational methods to solve complex scientific and engineering problems. They design algorithms, create simulations, and analyze large datasets, often working in interdisciplinary teams. Their work supports research and development in fields like bioinformatics, physics, chemistry, and engineering. Additionally, they may mentor junior scientists, contribute to scientific publications, and help set technical directions for their organization.

What is the difference between Senior Computational Scientist vs Computational Scientist?

AspectSenior Computational ScientistComputational Scientist
Required CredentialsMaster's or PhD in computational science, physics, or related fieldBachelor's or Master's in similar fields
Work EnvironmentResearch labs, R&D departments, academia, industryResearch institutions, industry, academia
Employer & Industry UsageTech companies, pharmaceuticals, aerospace, government labsUniversities, research organizations, industry
Common Search & ComparisonOften compared for experience level and responsibilitiesEntry to mid-level roles, less emphasis on leadership

Senior Computational Scientists typically have advanced degrees and more experience, leading complex projects in research and industry. Computational Scientists are often early to mid-career professionals focused on data analysis and modeling. The main difference lies in experience, project scope, and leadership responsibilities.

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

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

What cities in Indiana are hiring for Senior Computational Scientist jobs?

Cities in Indiana with the most Senior Computational Scientist job openings:

Infographic showing various Senior Computational Scientist job openings in Indiana as of August 2026, with employment types broken down into 100% Full Time. Highlights an 87% In-person, and 13% Hybrid job distribution.

Senior Research Scientist

Elanco

Indianapolis, IN

$94K - $120K/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

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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