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Life Science Research Jobs in Indiana (NOW HIRING)

Elanco

R&D Quality Assurance Auditor

Indianapolis, IN · Hybrid

Your Role: R&D Quality Assurance Auditor As an R&D Quality Assurance Auditor, you will be part of ... Master's degree in a life science (e.g., biology, animal science, pharmacy) with 5+ years of ...

North Newton School District

Science Teacher

Morocco, IN

$43K - $56K/yr

... research projects, demonstrations, experiments, and laboratory activities. - Instructs students in the proper use and care of scientific equipment, chemicals, and plant and animal life. - Conducts ...

North Newton School District

Science Teacher

Morocco, IN · On-site

$43K - $56K/yr

... research projects, demonstrations, experiments, and laboratory activities. - Instructs students in the proper use and care of scientific equipment, chemicals, and plant and animal life. - Conducts ...

LG

Research Technician

Evansville, IN · On-site

$19/hr

"We connect science to life for a better future." With 50,000 patents, 20,000 employees and 58 ... The Research Technician is responsible for supporting the testing needed to develop and formulate ...

LG

Research Technician

Evansville, IN

$19/hr

"We connect science to life for a better future." With 50,000 patents, 20,000 employees and 58 ... The Research Technician is responsible for supporting the testing needed to develop and formulate ...

LG

Research Technician

Evansville, IN · On-site

$19/hr

"We connect science to life for a better future." With 50,000 patents, 20,000 employees and 58 ... The Research Technician is responsible for supporting the testing needed to develop and formulate ...

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Life Science Research information

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How much do life science research jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for life science research in Indiana is $9.25, according to ZipRecruiter salary data. Most workers in this role earn between $9.23 and $9.23 per hour, depending on experience, location, and employer.

What is life science research?

Life science research is the scientific study of living organisms, including humans, animals, plants, and microorganisms. Researchers in this field investigate the structure, function, growth, origin, evolution, and distribution of living systems. They use a variety of techniques and tools to understand biological processes and develop solutions to real-world problems, such as disease prevention, agricultural improvements, and environmental conservation. Life science research is essential for advancing knowledge in fields like medicine, genetics, biotechnology, and ecology.

What careers can I pursue with life science?

A career in life science research can lead to roles such as biomedical scientist, laboratory technician, research associate, or clinical researcher. These positions often require knowledge of laboratory techniques, data analysis, and sometimes advanced degrees or certifications in biology, biochemistry, or related fields.

What is the difference between Life Science Research vs Laboratory Technician?

AspectLife Science ResearchLaboratory Technician
Required CredentialsBachelor's or Master's in Biology, Biochemistry, or related fieldsAssociate's degree or relevant certification
Work EnvironmentResearch labs, academic institutions, biotech companiesClinical, industrial, or research laboratories
Employer & Industry UsageResearch and development, academia, biotech firmsQuality control, testing, routine lab procedures
Common Search & ComparisonFocuses on experimental design, data analysis, and hypothesis testingFocuses on sample preparation, testing, and lab maintenance

Life Science Research involves designing experiments, analyzing data, and advancing scientific knowledge, often requiring higher education. Laboratory Technicians perform routine tests, prepare samples, and support research activities, typically with technical certifications. Both roles are essential in scientific labs but differ in responsibilities, credentials, and work scope.

What are the key skills and qualifications needed to thrive as a life science researcher?

To thrive as a Life Science Researcher, you need a strong background in biology, chemistry, or related fields, often supported by a relevant degree such as a bachelor's, master's, or PhD. Familiarity with laboratory techniques, data analysis software (such as SPSS or R), and scientific writing are typically required, along with adherence to safety and ethical standards. Critical thinking, attention to detail, and effective collaboration enable researchers to design experiments, solve problems, and work well within a team. These skills and qualities are essential for generating reliable scientific results and advancing knowledge in the life sciences.

What are some common challenges life science researchers face when conducting experiments, and how can they be addressed?

Life science researchers often encounter challenges such as reproducibility of results, managing large datasets, and troubleshooting experimental protocols. To address these issues, it's important to maintain meticulous documentation, regularly calibrate equipment, and stay informed about best practices in experimental design. Collaborating closely with colleagues and seeking feedback can also help identify potential pitfalls early, improving both the reliability and efficiency of research outcomes.

What are the most commonly searched types of Life Science Research jobs in Indiana?

The most popular types of Life Science Research jobs in Indiana are:

What are popular job titles related to Life Science Research jobs in Indiana?

For Life Science Research jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Life Science Research jobs in Indiana look for?

The top searched job categories for Life Science Research jobs in Indiana are:

Life Science Research jobs near you
Infographic showing various Life Science Research job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $19,235 per year, or $9.2 per hour.

Advisor R&D

Elanco Animal Health Incorporated

Indianapolis, IN • On-site

Full-time

Medical, Vision, Life, Retirement, PTO

Posted 4 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!
Senior Machine Learning & Computer Vision Scientist - R&D
Your Role:
As the Senior Machine Learning & Computer Vision Scientist, you will accelerate Elanco's R&D portfolio by turning proprietary scientific data into predictive models that guide drug discovery and development decisions. You will partner with discovery and development scientists to build machine learning and computer-vision models on molecular, in vitro, ADMET, and imaging data to support target identification, molecular optimization, digital biomarkers, and endpoint prediction for animal health.
Your Responsibilities:
  • Lead ML/CV work for key R&D programs, partnering with scientists to turn target identification, molecular optimization, in vitro analysis, ADMET, and biomarker questions into modeling problems with clear success criteria.
  • Design, build, and validate advanced ML and computer-vision models-including CNNs, transformers, graph neural networks, and generative approaches-on multi-modal data (molecular, assay, imaging, behavioral) to deliver reliable predictions and classifications.
  • Shape data collection, annotation, and synthetic data usage by working with experimental teams on capture protocols, labeling standards, and quality checks; evaluate synthetic data and augmentation to strengthen sparse datasets while managing bias and risk.
  • Operationalize models in R&D workflows by integrating them with tools used by scientists-including building and deploying models in Databricks-and influencing standards for reproducibility, documentation, monitoring, and model governance.
  • Provide technical leadership and mentorship by guiding junior scientists, leading cross-functional modeling initiatives, and clearly communicating technical concepts and results to diverse stakeholders.

What You Need to Succeed (minimum qualifications):
  • Education & baseline experience: PhD in a quantitative field (e.g., Data Science, Engineering, Physics, Mathematics, Statistics, Bioinformatics, Computational Chemistry), or a Master's degree with substantial hands-on ML/CV experience.
  • Applied ML/CV experience: 7+ years of industry experience building and deploying ML and computer-vision models for scientific problems in biomedical, pharmaceutical, or related domains, with demonstrated impact and close collaboration with wet-lab or clinical teams.
  • Technical and collaboration skills: Strong Python skills and proficiency with modern ML/CV libraries (e.g., PyTorch, TensorFlow, scikit-learn, OpenCV), solid understanding of statistics and experimental design, and proven ability to work and communicate effectively in cross-functional, matrixed environments.

What will give you a competitive edge (preferred qualifications):
  • Domain expertise and impact: Experience in animal health, pharmaceutical, or biotech R&D, with a record of impactful ML/CV applications (e.g., chemoinformatics, bioinformatics, digital biomarkers) shown through projects, publications, or patents.
  • Advanced technical depth and platforms: Hands-on expertise with methods such as neural networks and generative models, plus practical experience operationalizing models using Databricks and MLOps tools in production-like or scaled environments.
  • Leadership and influence: Demonstrated success leading cross-functional teams, mentoring junior scientists, and influencing scientific and technical decisions in complex, global organizations.

Additional Information:
  • Travel: Up to 10%
  • Location: Indianapolis, IN, USA

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

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.
#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 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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