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Sas R Python Internship Jobs in Indiana (NOW HIRING)

... internship or fellowship experience considered * Proficiencyin Excel; experience with SAS, R, Stata, or similar statistical tools preferred; familiarity with literature databases (PubMed, Embase)

Proficiency in SQL and R, Python, SAS Enterprise Miner, SPSS, Stata, Matlab, Minitab, or JMP. (Must have.) Experience with Perl, AWK, shell scripting, and C/C++. Domain knowledge in at least three ...

Programming and data skills (e.g., SAS, SQL, R, Python or other tools) with experience in data extraction, manipulation, and large dataset analysis desired. * Demonstrated ability to perform rigorous ...

Programming and data skills (e.g., SAS, SQL, R, Python or other tools) with experience in data extraction, manipulation, and large dataset analysis desired. * Demonstrated ability to perform rigorous ...

Programming and data skills (e.g., SAS, SQL, R, Python or other tools) with experience in data extraction, manipulation, and large dataset analysis desired. * Demonstrated ability to perform rigorous ...

... SAS and either R or Python, including data cleaning, running descriptive statistics and full analyses. • Working knowledge of epidemiological methods, study design, and analysis needed with an ...

D. Diploma Work Experience 2 - 3 years Work experience in a Financial Institution or Consulting Organization Experience programming in Python or R Experience programming in SQL, SAS, Java, C+, C ...

D. Diploma Work Experience 2 - 3 years Work experience in a Financial Institution or Consulting Organization Experience programming in Python or R Experience programming in SQL, SAS, Java, C+, C ...

... SAS and either R or Python, including data cleaning, running descriptive statistics and full analyses. • Working knowledge of epidemiological methods, study design, and analysis needed with an ...

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Sas R Python Internship information

What are the key skills and qualifications needed to thrive as a SAS R Python Intern, and why are they important?

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, and how do these projects contribute to real business outcomes?

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 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 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 Advisor - Statistics

Research Advisor - Statistics

Lilly

Indianapolis, IN

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Eli Lilly and Company rating

8.8

Company rating: 8.8 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

11th of 70 rated pharmaceutical


Job description

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world.

Functional Overview & Responsibilities

Our Global Statistical Sciences department includes over 200 people with advanced degrees in Statistics/Biostatistics. Our diverse population of global talent brings innovation to every aspect of our business - from Discovery Research to Clinical Development to Manufacturing and Real-world Evidence. We are playing a leading role in transforming the way the company develops medicines using state-of-the-art methods in adaptive designs, Bayesian statistics, causal inference, genetic/biomarker analysis, machine learning and more!

The Clinical Project Statistician (Advisor - Statistics) develops or assists in the development of protocol designs, clinical plans, and data analysis plans in collaboration with physicians, clinical research scientists, and/or medical colleagues. The Clinical Project Statistician is responsible for working with research associates and scientists to establish a reporting database, determining the appropriate statistical analysis procedures, and for analyzing data for clinical studies.

Responsibilities:

The job tasks listed below outline the scope of the position. The application of these tasks may vary, based upon current business needs.

Statistical Trial Design and Analysis

  • Operate in collaboration with study personnel to provide input on study protocol, design studies and write protocols for the conduct of each study.

  • Assist in or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the protocol and the statistical analysis plan, and conducting the actual analysis once a reporting database is created.

  • Collaborate with data sciences in the planning and implementation of data quality assurance plans.

  • Keep up to date with novel statistical methodology, maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected.

  • Influence team members regarding appropriate research methods

  • Perform peer-review of work products from other statistical colleagues.

  • Communication of Results and Inferences

  • Collaborate with team members to write reports and communicate results.

  • Assist with, or be responsible for, communicating study results via regulatory submissions, manuscripts, or oral presentations in group settings, as well as for communicating one-on-one with key customers and presenting at scientific meetings.

  • Respond to regulatory queries and interact with regulators.

  • Therapeutic Area Knowledge

  • Understand disease states, competitive landscapes, and regulatory environment in order to enhance the level of customer focus and collaboration and be seen as a strong scientific contributor.

  • Regulatory Compliance

  • Perform work in full compliance with assigned curriculum(s) and will be responsible for following applicable Corporate, Medical, local, and departmental policies, procedures, processes, and training.

  • Statistical leadership and Teamwork

  • Introduce and apply innovative methodology and tools to solve critical problems

  • Merge scientific thinking and business knowledge to identify issues, evaluate options and implement solutions.

  • Lead projects independently and work effectively across functions. Apply technical expertise to influence business decisions.

Basic Qualifications

  • Currently enrolled in and attending graduate school, and will complete a Ph.D. degree in Statistics OR Biostatistics

  • Expected graduation by August 2026

  • Additional Functional Job Skills & Preference

  • Proficient in statistical programming languages/software such as SAS, R, Python, etc

  • Interpersonal communication skills for effective customer consultation

  • Teamwork and leadership skills

  • Technical expertise and application with working knowledge of experimental design and statistical analysis

  • Self-management skills with a focus on results for timely and accurate completion of competing deliverables

  • Resource management skills

  • Creativity and innovation

  • Demonstrated problem solving ability and critical thinking

  • Business process expertise associated with critical activities (e.g. regulatory submissions)

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.


Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.

Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is

$151,500 - $222,200

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

#WeAreLilly


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About Eli Lilly

Sourced by ZipRecruiter

Eli Lilly, based in Indianapolis, IN, US, is one of the pioneers in the pharmaceutical industry with a rich history dating back to 1876. This global pharmaceutical company focuses on discovering, developing, manufacturing and selling pharmaceutical products in approximately 120 countries. The company's product categories include endocrinology, oncology, cardiovascular, neuroscience, and immunology. Having invested over $9 billion in research and development in the past decade, Eli Lilly is also committed to creating high-quality medicines that meet real needs. As a recipient of several awards and recognitions, Eli Lilly is known for its focus on life-saving research and drug development. Their mission is to make medicines that help people live longer, healthier, and more active lives.

Industry

Pharmaceutical product wholesalers

Company size

10,000+ Employees

Headquarters location

Indianapolis, IN, US

Year founded

1876