1

Computational Biologist Jobs in Indiana (NOW HIRING)

Senior Research Scientist

Indianapolis, IN · On-site

$94K - $120K/yr

... Computational Biology, Technical Development, and Preclinical Development. Collaborate with Computational Sciences to develop machine learning models for hit expansion and property prediction.

Showing results 41-60

Computational Biologist information

See Indiana salary details

$46.2K

$89.4K

$127K

How much do computational biologist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for computational biologist 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 a computational biologist?

A computational biologist is a skilled scientist who uses complex computer algorithms to research and analyze biological systems. This highly specialized job entails using computers and advanced data analytics software to research biological topics such as genetic sequencing, cellular growth numbers, and protein sampling. As a computational biologist, your duties are to code computer algorithms and perform bioinformatics research in the lab. You may also work with students by using the data from their bioinformatics research.

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, mathematics, statistics, and computer science, often supported by an advanced degree in a relevant field. Proficiency with programming languages (such as Python or R), bioinformatics tools, and data analysis platforms is essential. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills for this role. These skills are critical for analyzing complex biological data, interpreting results, and collaborating with multidisciplinary teams to advance scientific research.

What are some common interdisciplinary collaborations for a computational biologist, and how do these impact daily work?

Computational Biologists frequently collaborate with laboratory scientists, statisticians, and software engineers to analyze complex biological data. These interdisciplinary interactions mean that communication skills are essential, as you’ll often translate computational findings into actionable insights for experimental teams. Daily responsibilities may include attending joint meetings, discussing data analysis strategies, and integrating feedback from collaborators to refine models. This collaborative environment fosters both scientific discovery and personal growth, offering exposure to diverse perspectives and expertise.

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

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

What cities in Indiana are hiring for Computational Biologist jobs?

Cities in Indiana with the most Computational Biologist job openings:

What are popular job titles related to Computational Biologist jobs in IN?

For Computational Biologist jobs in IN, the most frequently searched job titles are:

Infographic showing various Computational Biologist job openings in Indiana as of August 2026, with employment types broken down into 71% Full Time, 25% Part Time, 1% Temporary, and 3% Contract. Highlights an 68% Physical, 2% Hybrid, and 30% Remote job distribution, with an average salary of $89,436 per year, or $43 per hour.

Senior Research Scientist

Elanco Tiergesundheit AG

Indianapolis, IN • On-site

$120 - $190/hr

Other

Retirement, PTO

Posted 16 days ago


Job description

## Senior Research ScientistApplylocations: Indianapolis, INtime type: Full timeposted on: Posted Todayjob requisition id: R0026648**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 EnvironmentDon’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 #J-18808-Ljbffr