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Assistant Data Scientist Jobs in Indiana (NOW HIRING)

$35/hr

... * Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI ... Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program ...

New

$35/hr

... * Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI ... Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program ...

New

$35/hr

... * Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI ... Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program ...

New

The Data Science Intern will join the Data Intelligence team and gain hands-on experience applying ... Job Duties and Responsibilities * Assist with exploratory data analysis to identify patterns ...

New

These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed ...

These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed ...

These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed ...

These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed ...

These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed ...

These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed ...

... assistants used across the team. * Configure and manage compute infrastructure that supports AI ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related ...

New

... assistants used across the team. * Configure and manage compute infrastructure that supports AI ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related ...

Showing results 41-60

Assistant Data Scientist information

See Indiana salary details

$43.8K

$157K

$231.7K

How much do assistant data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for assistant data scientist in Indiana is $157,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $161,800.00 per year, depending on experience, location, and employer.

What is an assistant data scientist?

Assistant Data Scientists are entry-level professionals who support data science teams by assisting with data collection, cleaning, analysis, and visualization. They help prepare datasets, build simple models, and generate reports under the supervision of senior data scientists. This role offers hands-on experience with data science tools and methods, making it a valuable starting point for those aiming to advance in the field. Assistant Data Scientists typically work in industries like technology, healthcare, finance, and retail, contributing to data-driven decision making.

How does an assistant data scientist typically collaborate with other team members on data projects?

As an Assistant Data Scientist, you’ll frequently work alongside data engineers, senior data scientists, and business analysts to support larger analytics projects. You may be responsible for preparing datasets, cleaning data, and running initial analyses under the guidance of more experienced colleagues. Collaboration often involves regular team meetings, sharing code via version control systems, and providing updates on your progress. This teamwork helps ensure project goals are met efficiently and provides opportunities to learn from others and develop your technical skills.

What are the key skills and qualifications needed to thrive as an assistant data scientist, and why are they important?

To thrive as an Assistant Data Scientist, you need a solid understanding of statistics, data analysis, and programming skills in languages like Python or R, often supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), version control systems like Git, and experience with databases are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data and explain findings to diverse stakeholders. These skills are vital for extracting actionable insights from complex datasets and contributing meaningfully to data-driven decision-making.

What is the difference between Assistant Data Scientist vs Data Scientist?

AspectAssistant Data ScientistData Scientist
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some experienceMaster's or PhD in Data Science, Statistics, or related field; extensive experience
Work EnvironmentSupportive, entry-level team environment, often supervisedIndependent or team-based projects, more responsibility
Employer & Industry UsageEntry-level roles in tech, finance, healthcare, and consultingSenior roles across similar industries, often leading projects

Assistant Data Scientists typically have foundational skills and support data teams, while Data Scientists handle complex analysis and lead projects. The roles differ mainly in experience level, responsibility, and expertise required, with Assistant Data Scientists serving as a stepping stone to becoming Data Scientists.

Is an assistant data scientist job still in demand?

Assistant data scientist roles remain in demand as organizations continue to prioritize data analysis and machine learning skills. These positions often require proficiency in programming languages like Python or R and knowledge of data visualization tools, with demand driven by growth in data-driven decision making across industries.

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

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

What are popular job titles related to Assistant Data Scientist jobs in Indiana?

For Assistant Data Scientist jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Assistant Data Scientist jobs in Indiana look for?

The top searched job categories for Assistant Data Scientist jobs in Indiana are:

What cities in Indiana are hiring for Assistant Data Scientist jobs?

Cities in Indiana with the most Assistant Data Scientist job openings:

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Indianapolis, IN • On-site

$35/hr

Other

Posted 3 days ago

New


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

133rd of 496 rated machine equipment manufacturers


Job description

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

  • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
  • Implement new ideas, be constantly challenged, and develop your skills
  • Network with key/high-level stakeholders and leaders of the business
  • Be a part of an innovative team and culture
  • Experience documenting complex processes and presenting them in a clear format

Who We Want

Challengers. People who seek out the hard projects and work to find just the right solutions.

Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.

Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.

Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.

Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.

Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

Opportunities Available

As a Real-World Evidence Data Science intern at Stryker, you will:

  • Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation programs
  • Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources
  • Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data
  • Prepare literature review summaries and evidence syntheses to support publication and regulatory submission efforts
  • Build and refine statistical models (e.g., propensity matching, survival analysis) under the mentorship of the RWE Research team
  • Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement, and commercial strategy

What You Need

Required:

  • Currently pursuing a Master’s degree in Biostatistics, Epidemiology, Health Services Research, Health Economics and Outcomes Research (HEOR), Health/Biomedical Informatics, Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program after the internship
  • Cumulative 3.0 GPA or above (verified at time of hire)
  • Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the future
  • Proficiency in SQL and at least one statistical/analytical programming language (Python or R)
  • Coursework or applied project experience with observational/real-world data (claims, EHR, or registry data)
  • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
  • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment

Preferred:

  • Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data structures
  • Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis
  • Experience with NLP applied to unstructured healthcare text
  • Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting

$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.


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