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Google Research Scientist Jobs in Indiana (NOW HIRING)

They plan research activities, conduct both qualitative and quantitative research methods, analyze ... Science, Psychology * 1 - 2 years work related experience * Preferred: Google Analytics as an ...

They plan research activities, conduct both qualitative and quantitative research methods, analyze ... Science, Psychology * 1 - 2 years work related experience * Preferred: Google Analytics as an ...

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Google Research Scientist information

See Indiana salary details

$48.1K

$123.8K

$165.6K

How much do google research scientist jobs pay per year?

As of Aug 24, 2026, the average yearly pay for google research scientist in Indiana is $123,814.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $164,600.00 per year, depending on experience, location, and employer.

What does a Google Research Scientist do?

A Google Research Scientist conducts cutting-edge research to develop new technologies and advance the state of the art in fields such as artificial intelligence, machine learning, natural language processing, and computer vision. They work on both theoretical and applied projects, often collaborating with other researchers and product teams to solve complex problems. Their contributions can lead to innovative features in Google products and may also be published in leading scientific conferences and journals.

What are the key skills and qualifications needed to thrive as a Google Research Scientist?

To thrive as a Google Research Scientist, a strong background in computer science, mathematics, and research methodology—typically demonstrated by a PhD or equivalent experience—is essential. Proficiency in programming languages like Python or C++, machine learning frameworks (such as TensorFlow or PyTorch), and experience with large-scale data systems are commonly required. Outstanding problem-solving, collaboration, and communication skills set top candidates apart in this role. These capabilities are crucial for driving innovative research, publishing impactful work, and contributing to multidisciplinary team projects at Google.

How does a Google Research Scientist typically collaborate with cross-functional teams within the company?

As a Google Research Scientist, you can expect to work closely with cross-functional teams, including engineers, product managers, and data analysts. Collaboration often involves sharing research findings, integrating new algorithms into products, and iterating on prototypes based on feedback from other teams. Regular meetings, code reviews, and joint project planning sessions are common, ensuring that research outcomes are aligned with product goals and user needs. This collaborative environment not only accelerates innovation but also provides valuable exposure to diverse perspectives and skill sets.

What is the difference between Google Research Scientist vs Google Data Scientist?

AspectGoogle Research ScientistGoogle Data Scientist
Required CredentialsAdvanced degrees in CS, AI, or related fields; strong research backgroundDegree in CS, Statistics, or related; strong analytical skills
Work EnvironmentFocus on research, developing new algorithms, publishing papersFocus on data analysis, building models, supporting product decisions
Employer & Industry UsagePrimarily in research labs, AI teams, academia collaborationsAcross product teams, marketing, and analytics departments

Google Research Scientists primarily focus on advancing AI and machine learning through research and publications, while Google Data Scientists analyze data to inform product decisions and improve user experience. Both roles require strong technical skills, but differ in their core objectives and work environment.

How to become a Google Research Scientist?

To become a Google Research Scientist, candidates typically need a strong background in computer science, machine learning, or related fields, often holding a Ph.D. or master's degree. Relevant skills include programming in languages like Python or C++, experience with research methodologies, and a track record of published work or contributions to open-source projects. Applying involves submitting a detailed resume and portfolio through Google's careers portal, with the selection process including technical interviews and research assessments.
Infographic showing various Google Research Scientist job openings in Indiana as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $123,814 per year, or $59.5 per hour.

Solution Architect - Research & Development Systems

Elanco Animal Health Incorporated

Indianapolis, IN • On-site

$60.25 - $79.25/hr

Full-time

Retirement

Re-posted 13 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: Solution Architect - Research & Development Systems
As a Solution Architect within Elanco IT, you will help lead the digital transformation of Elanco's global R&D organization. You will drive the adoption of modern pharmaceutical development platforms, including High-Performance Computing, AI/ML systems, Electronic Lab Notebooks, and Laboratory Execution Systems, to accelerate drug discovery and development in areas such as bioinformatics, computational chemistry, genomics, and systems biology.
In this role, you'll shape Elanco's scientific technology landscape by guiding architecture decisions, influencing technology investments, and aligning solutions with enterprise standards and research innovation goals.
Your Responsibilities:
  • Define and deliver the architecture vision for Elanco's R&D digital ecosystem, aligning with enterprise architecture principles and technology roadmaps.
  • Partner with Product Managers and Principal Engineers to design scalable, compliant, and secure scientific computing solutions.
  • Architect and implement integrated R&D systems (ELN, LIMS, LES, CDS, Informatics) using SaaS and cloud-native platforms.
  • Apply emerging technologies such as AI, cloud-native applications, and HPC to optimize research workflows, data pipelines, and predictive modeling.
  • Collaborate across IT and R&D to ensure systems support FAIR data principles and scientific reproducibility.

What You Need to Succeed (minimum qualifications):
  • Education: Bachelor's Degree in Information Systems, Computer Science, or related field.
  • Experience: Minimum 5 years architecting and delivering enterprise IT systems.
  • Key Skills:
    • Proven experience supporting pharmaceutical development systems (ELN, LIMS, CDS, LES, Informatics, HPC).
    • Strong technical expertise integrating SaaS and cloud-native solutions using modern architecture frameworks (API-first, service-oriented, event-driven).
    • Exceptional communication and leadership skills with the ability to translate complex technical concepts into business value.

What Will Give You a Competitive Edge (preferred qualifications):
  • Experience designing architectures for High-Performance Computing (HPC) environments and scientific workload management (e.g., SLURM, Nextflow).
  • Familiarity with FAIR data principles and scientific data lifecycle management.
  • Knowledge of regulatory and data integrity requirements in GxP environments (e.g., 21 CFR Part 11).
  • Hands-on experience with containerization (Docker, Kubernetes) and modern DevSecOps practices (CI/CD, TDD).
  • Solution architecture certifications in Microsoft Azure or Google Cloud Platform.

Additional Information:
  • Travel: Occasional
  • Location: Global Elanco Headquarters - Indianapolis, IN (Hybrid Work Environment)

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:
  • Two weeklong shutdowns (mid-summer and year-end) in the US
  • 8-week parental leave
  • 9 Employee Resource Groups
  • Annual bonus offering and up to 6% 401(k) matching
  • Flexible work arrangements and multiple relocation packages

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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