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Sas R Python Internship Jobs in Indiana (NOW HIRING)

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Sas R Python Internship information

What is a SAS R Python internship?

A SAS R Python Internship is a temporary position designed for students or recent graduates to gain hands-on experience using statistical analysis and programming languages, specifically SAS, R, and Python. Interns typically work on data-driven projects, helping organizations analyze large datasets, develop predictive models, and automate data processes. This type of internship is common in industries like finance, healthcare, and tech, and is ideal for individuals interested in data science, analytics, or programming careers.

What are the key skills and qualifications needed to thrive as a SAS R Python intern?

To thrive as a SAS R Python Intern, you need a solid understanding of statistics, data analysis, and programming fundamentals, often supported by coursework or a degree in a quantitative field. Familiarity with statistical software like SAS, R, and Python, as well as data visualization and database tools, is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly help interns stand out. These skills are crucial for successfully analyzing data, drawing actionable insights, and contributing effectively to data-driven projects within an organization.

What types of projects can I expect to work on during a SAS R Python internship?

As a SAS R Python intern, you will typically work on data analysis, data cleaning, and developing predictive models using large datasets. Projects often involve collaborating with data scientists and business analysts to extract insights that drive decision-making, such as optimizing marketing campaigns or improving operational efficiency. These assignments allow you to apply statistical methods and programming skills in practical settings, directly supporting organizational goals. Interns also gain exposure to real-world data challenges and team-based problem-solving, making it a valuable stepping stone for future analytics roles.

What is the difference between Sas R Python Internship vs Data Analyst Internship?

AspectSas R Python InternshipData Analyst Internship
Required SkillsKnowledge of SAS, R, Python, data manipulationProficiency in Excel, SQL, basic statistical analysis
Work EnvironmentData-focused, analytics teams, tech companiesBusiness units, consulting firms, finance
Industry UsageCommon in healthcare, finance, techWidespread across industries including marketing and finance

Both internships involve data analysis skills, but Sas R Python Internships focus more on programming and statistical tools, while Data Analyst Internships emphasize business insights and reporting. The choice depends on whether you prefer technical programming or business-oriented analysis.

What cities in Indiana are hiring for Sas R Python Internship jobs?

Cities in Indiana with the most Sas R Python Internship job openings:

Research Scientist - Statistics

Elanco Animal Health Incorporated

Greenfield, IN • On-site

Full-time

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!
The Research Scientist - Statistics provides critical statistical leadership and support for Research and Development (R&D) studies, facilitating the global registration of innovative animal health products. This role is instrumental in the lifecycle of product development, ensuring statistical integrity from initial protocol design through to final regulatory submission. Additionally, individuals in this position may also support initiatives working with or supporting EKS, Marketing, Technical Development and other strategic areas.
Key Responsibilities
Core Statistical Support
  • Study Design & Planning: Contribute to or co-author study protocols by providing expert statistical input on experimental design, randomization, sample size calculations, and methodology.
  • Analysis & Execution: Perform statistical analysis of data in strict adherence to study protocols. Deliver high-quality results in standard formats, including Statistics Reports, and Tables, Figures, and Listings (TFLs).
  • Reporting: Contribute to the authoring and review of comprehensive study reports for regulatory submission and manuscripts for publication.
  • Timelines: Manage statistical deliverables to ensure alignment with established project timelines and priorities.

Innovation & Advanced Methodologies
  • New Concepts: Actively investigate and implement statistical methods, specifically focusing on:
    • Artificial Intelligence (AI): Exploring machine learning and LLM applications utilizing study and Real World data.
    • Digital Twins: Developing and maintaining digital twins for predictive modeling in animal health.
    • Bayesian Initiatives: Applying Bayesian frameworks to enhance decision-making and trial efficiency.
    • Adaptive Designs: Integrating flexible trial frameworks such as interim analyses and sample size re-estimation to improve study flexibility while maintaining strict regulatory compliance.
  • Continuous Improvement: Contribute to the development, dissemination and implementation of novel statistical methods and best practices within the Statistics team.

Regulatory & Compliance
  • Quality Standards: Ensure all work complies with regional and local regulatory requirements, including GLP, GCP, EMA, FDA, and USDA standards.
  • Functional Procedures: Assist in the development and periodic review of Elanco Functional Procedures and standard operating practices.
  • Functional Processes: Assure all work complies with Elanco Functional Procedures and business processes

Collaboration & Strategic Support
  • Cross-Functional Partnership: Routinely collaborate with colleagues in Clinical Development, Regulatory Affairs, Data Management, Quality Assurance, and Marketing.
  • External Management: Oversee Contract Research Organization timelines and perform technical reviews of their deliverables.
  • Strategic Initiatives: Support strategic R&D initiatives within Elanco Clinical Sciences and with cross-functional teams.

Qualifications
Minimum Requirements
  • Education:
    • PhD or MSc/MS in Statistics, Biostatistics, or a strongly related field.
  • Core Training: Demonstrated training in Design of Experiments (DoE), GLMM, Survival Analysis, and Categorical Methods. Demonstrable exposure to applications and training in the AI/ML domain.
  • Technical Proficiency: Advanced experience using Python, R, and/or SAS software. Demonstrated capability with statistical application of AI-related tools.

Additional Preferences
  • Programming: Proficient in multiple programming languages usedin industry statistical applications.
  • Regulatory Experience: Familiarity with licensing animal health products in the US or Europe.
  • Software: Expert user of Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).

Behavioral Competencies
  • Entrepreneurial Mindset: Ability to work in a fast-paced, collaborative environment with a focus on innovation and problem solving.
  • Communication: Strong verbal and written communication skills to effectively translate complex statistics for non-statistical project team members.

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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