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Internship Life Science Analyst Jobs (NOW HIRING)

Experience through internships, personal projects, research, hackathons, student organizations, or ... Life Insurance * Parental leave * Adoption benefits * Tuition Reimbursement * These benefits also ...

Required Skills and Experience : * 3-5+ years of experience (relevant academic internships and ... • Life and AD&D Insurance • Discounts Along with many other employee benefits. #LI-KK1 At ...

You'll work closely with product managers, other data scientists, engineers, and business analysts ... Experience with agile development and software development life cycle (SDLC) processes

The Laboratory Technician will carry out analysis according to the section work plan. Follow accredited methods of analysis as detailed in the quality manual. Prioritise analysis according to ...

You'll work closely with product managers, other data scientists, engineers, and business analysts ... Experience with agile development and software development life cycle (SDLC) processes

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

As an Analyst on our Data Science team, you'll be an integral part of an innovative group building ... VS Code Work-life balance is at the foundation of how decisions are made and where Premise is ...

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How much do internship life science analyst jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for internship life science analyst in the United States is $20.85, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $24.04 per hour, depending on experience, location, and employer.

What does an Internship Life Science Analyst do?

An Internship Life Science Analyst supports research and analysis related to the life sciences industry, such as biotechnology, pharmaceuticals, or healthcare. Interns typically assist with data collection, market research, and literature reviews to help senior analysts evaluate scientific trends, products, and companies. They may also help prepare reports and presentations for clients or internal teams. This role provides hands-on experience and exposure to the business side of science, making it ideal for students interested in both science and business.

What are the key skills and qualifications needed to thrive as an Internship Life Science Analyst, and why are they important?

To thrive as an Internship Life Science Analyst, you need a solid background in biological or life sciences, analytical thinking, and basic data analysis skills, typically supported by ongoing undergraduate or graduate studies in a relevant field. Familiarity with statistical software (such as R or SPSS), Microsoft Excel, and literature databases like PubMed is often required. Strong communication, attention to detail, and a collaborative attitude help interns excel in research environments and team projects. These skills and qualities are vital for accurately analyzing scientific data, presenting findings, and contributing effectively to life science research initiatives.

What types of projects or tasks can I expect to work on as an Internship Life Science Analyst?

As an Internship Life Science Analyst, you can expect to engage in a variety of tasks such as conducting market research, analyzing scientific literature, assisting with data interpretation, and preparing reports or presentations for internal teams or clients. Interns often collaborate closely with experienced analysts and cross-functional teams, gaining exposure to real-world industry challenges and methodologies. This hands-on experience not only helps you develop analytical and communication skills but also provides valuable insights into the commercial and strategic aspects of the life sciences sector.

What is the difference between Internship Life Science Analyst vs Research Associate in Life Sciences?

AspectInternship Life Science AnalystResearch Associate in Life Sciences
CredentialsUndergraduate or graduate student, relevant courseworkBachelor's or master's degree in life sciences
Work EnvironmentInternship programs, labs, research facilitiesFull-time research labs, biotech companies, academic institutions
Employer & Industry UsageBiotech firms, research institutions, pharmaceutical companiesResearch institutions, biotech and pharma companies, universities

While both roles involve research in life sciences, an Internship Life Science Analyst is typically a temporary, entry-level position for students gaining industry experience. A Research Associate in Life Sciences is a more permanent, full-time role requiring more experience and responsibility in conducting experiments and data analysis.

What cities are hiring for Internship Life Science Analyst jobs? Cities with the most Internship Life Science Analyst job openings:
What are the most commonly searched types of Life Science Analyst jobs? The most popular types of Life Science Analyst jobs are:
What states have the most Internship Life Science Analyst jobs? States with the most job openings for Internship Life Science Analyst jobs include:
Data Science/Analyst

Data Science/Analyst

Caterpillar

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Caterpillar Inc. rating

7.5

Company rating: 7.5 out of 10

Based on 466 frontline employees who took The Breakroom Quiz

225th of 429 rated machine equipment manufacturers


Job description

Career Area:
Marketing, Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Launch your data science or technical analyst career by building AI and analytics solutions that help Caterpillar customers manage fleets, predict equipment failures, and optimize operations around the world. You'll work with machine learning, Generative AI, IoT data, and advanced analytics while partnering with experienced engineers and data scientists.
Cat Digital is the digital and technology focused organization within Caterpillar, Inc. Our global team is responsible for bringing digital capabilities to Caterpillar's world-famous yellow iron. Working with your yellow partners and Cat Dealers, we execute key components of digital and marketing portfolios, including global marketing & brand, connectivity, enterprise data, analytics and AI, equipment management, eCommerce, digital marketing, rental & used digital solutions, and aftermarket leads & insights.
Depending on team placement, you may focus on machine learning, AI, data analytics, digital product support, telematics, digital product development, business intelligence or business insights.
What You Will Do
As a data scientist / technical analyst you may:
  • Develop models to power asset management solutions for customers and dealers using machine learning, deep learning, and statistics-based/physics-based analytics techniques on time-series sensor data, machine fault codes, inspections and analysis records to identify health anomalies, predict equipment failure modes, estimate remaining useful life, and build equipment risk models

  • Evaluating emerging technologies by evaluating new product services and technology platforms

  • Utilize Generative AI to develop and implement solutions, encompassing model training, evaluation, and selection. Engage in Prompt Engineering by fine-tuning AI models, developing new models, creating agents, assistants, and chatbots

  • Ensure long-term connectivity through strategic planning and execution, including global telematics device programs. This involves testing, research, and analysis of cellular, satellite, Wi-Fi, Bluetooth, and other on-board and off-board technologies

  • Provide digital technical support for essential Caterpillar digital applications and products

Technologies you may use include, but are not limited to: Python, SQL, Machine Learning, Generative AI, Cloud Platforms, Data Visualization Tools, IoT & Telematics Data, Statistical Modeling
What You Will Have - Skills and Experiences
  • Business Statistics: knowledge of statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions

  • Accuracy and Attention to Detail: understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision

  • Analytical Thinking: knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems

  • Machine Learning: knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services

  • Programming Languages: knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages

  • Query and Database Access Tools: knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use

  • Requirements Analysis: knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required businessfunctionality and non-functionality requirements to ensure the success of a system or software development project

Top Candidates May Have:
  • Bachelor's degree or higher in data science, computer engineering, electrical engineering or related degree (selected candidates must complete their degree by their start date)

  • 0-2 years of relevant experience related to this field (internships or academic projects are a plus)

  • Minimum cumulative GPA requirement 3.0/ 4.0 (no rounding)

  • Experience through internships, personal projects, research, hackathons, student organizations, or coursework is highly valued

Additional Information
  • Locations for this position are typically Chicago and Peoria Illinois. Limited opportunities in Dallas, Texas

  • Basic relocation may be available, depending on relocation qualifications

  • Sponsorship now or in the future is NOT available for this position

Summary Pay Range:
$89,210.00 - $144,960.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
  • Medical, dental, and vision benefits*
  • Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
  • 401(k) savings plans*
  • Health Savings Account (HSA)*
  • Flexible Spending Accounts (FSAs)*
  • Health Lifestyle Programs*
  • Employee Assistance Program*
  • Voluntary Benefits and Employee Discounts*
  • Career Development*
  • Incentive bonus*
  • Disability benefits
  • Life Insurance
  • Parental leave
  • Adoption benefits
  • Tuition Reimbursement

* These benefits also apply to part-time employees
Relocation is available for this position.
Visa Sponsorship is not available for this position.
Posting Dates:
July 2, 2026 - July 17, 2026
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.

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