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Associate Data Scientist Jobs in Indiana (NOW HIRING)

Data Analyst Associate We are seeking a Data Analyst Associate who will play a key role in driving ... Bachelor's degree in computer science or related field strongly preferred * Experience with ...

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Data Engineer

Granger, IN · On-site

$102.70K - $123.30K/yr

This may include innovative data visualization and data science methodologies. * Remaining ... ORGANIZATIONAL RESPONSIBILITIES Associate complies with the following organizational requirements:

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Associate, you will analyze complex problems, mentor junior team members, and maintain ...

Previous experience in QA, QC Science/Engineering or Computer Science and Technology * Prior work with cGMPs, external regulations and inspections * Strong knowledge of Computer System Validation ...

AI Architect, Manager

Indianapolis, IN · On-site +1

$60.25 - $79.25/hr

You're likely to be a MSFT Certified Data Science Associate and you have been in a similar professional position for around five to seven years. * Cross talent community skillset, one resource that ...

AI Solutions Architect

Indianapolis, IN

$60.25 - $79.25/hr

... Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert The wage range for this role takes into account the wide range of factors that are considered in making compensation ...

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How much do associate data scientist jobs pay per year?

As of May 30, 2026, the average yearly pay for associate data scientist in Indiana is $64,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,100.00 and $56,600.00 per year, depending on experience, location, and employer.

What Does an Associate Data Scientist Do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What are the key skills and qualifications needed to thrive as an Associate Data Scientist, and why are they important?

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What are some typical projects an Associate Data Scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What is the difference between Associate Data Scientist vs Data Analyst?

AspectAssociate Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Scientist jobs in Indiana? The most popular types of Data Scientist jobs in Indiana are:
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What job categories do people searching Associate Data Scientist jobs in Indiana look for? The top searched job categories for Associate Data Scientist jobs in Indiana are:
What cities in Indiana are hiring for Associate Data Scientist jobs? Cities in Indiana with the most Associate Data Scientist job openings:
What are popular job titles related to Associate Data Scientist jobs in IN? For Associate Data Scientist jobs in IN, the most frequently searched job titles are:
Infographic showing various Associate Data Scientist job openings in Indiana as of May 2026, with employment types broken down into 12% Full Time, 82% Part Time, and 6% Temporary. Highlights an 13% Physical, 7% Hybrid, and 80% Remote job distribution, with an average salary of $64,743 per year, or $31.1 per hour.
Clinical Data Associate

Clinical Data Associate

Eli Lilly and Company

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 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.
The Clinical Data Associate is accountable for the end-to-end clinical data sciences delivery for a clinical study, including clinical database build, data acquisition, storage, retrieval, and exchange. This role requires in-depth understanding of the clinical study design, data standards, study protocol, data flow, systems, and processes for collecting and managing clinical study data. The Clinical Data Associate is required to represent the clinical data sciences function and collaborate with and manage key study collaborators in achieving study milestones. The role is responsible for providing clinical data science leadership and ownership for a particular clinical study, set of studies, or programs.
Primary Responsibilities: This job description is intended to provide a general overview of the job requirements at the time it was prepared. The job requirements of any position may change over time and may include additional responsibilities not specifically described in the job description. Consult with your supervision regarding your actual job responsibilities and any related duties that may be required for the position.
1. Clinical Data Science Delivery
  • Implement project monitoring and quality oversight of sourcing providers for end-to-end data management activities from study set-up to trial execution through database lock delivery.
  • Ensure vendor performance for the program-level flow of data, including across niche vendors and niche data sources (pharmacokinetics, immunogenicity, biomarkers).
  • Partner with the Clinical Data Strategist in ensuring data flow design and data collection meet the requirements of the study protocol.
  • Develop the Data Management Plan (DMP) and maintain the DMP throughout the lifecycle of the clinical study while ensuring that the DMP is followed in accordance with the study design and study protocol requirements.
  • Drive data cleaning activities throughout study execution. Use therapeutic knowledge and possess a deep understanding of the technologies used to review data to ensure database deliverables are consistent and accurate.
  • Help identify and drive implementation of post-production changes to the Clinical Database.
  • Develop and maintain plans for key study deliverables (i.e., Data Quality Delivery Plan, Datalock Plan, Project Plan).
  • Provide consultation and a high level of expertise in data management processes, principles, and deliverables to support clinical studies.
  • Represent clinical data sciences in inspections and support inspection readiness efforts within the clinical data sciences function and multi-functionally.
  • Effectively apply knowledge of applicable internal, external, and regulatory requirements/expectations (MQA, CSQ, MHRA, FDA, ICH, GCP, PhRMA, Privacy knowledge, etc.) to data deliverables.
  • Manage and drive requests for copyrights and translations for study-related documents.
  • Drive build implementation for eCOA, ensure execution of eCOA deliverables (on time with high quality), and serve as eCOA point of contact (POC).

2. Project Management
  • Ensure that the clinical data science deliverables meet scope, cost, and time objectives.
  • Manage study timelines for clinical data deliverables (FPV to database lock)
  • Drive the planning, readiness, coordination and communication of activities leading to database lock
  • Coordinate/lead data management milestones for data transfers and database locks.
  • Manage scope of the deliverables through scenario planning and negotiating desired outcomes with study teams while taking into account the cost and value of scenarios.
  • Practice effective risk management to mitigate or manage risks to study deliverables.

3. Communication
  • Act as primary communication point for all data management activities related to a clinical study.
  • Report out status of data management milestones and data quality.
  • Partner with external data vendors: understand specifications to import multiple types of data, work with technical groups to ensure timely loads of external data sets into the sponsor's database.
  • Demonstrate excellent written and verbal communication skills, including the ability to represent the Data and Analytics organization and influence team members to drive data-driven decisions.
  • Partner with across functional team members to ensure trial success through robust oversight/review.

4. Process Improvement
  • Continually seek and implement opportunities for process improvements, automation to drive efficiencies, reduction of cycle times, and improvements in quality.
  • Represent clinical data sciences' processes in cross-functional initiatives.
  • Actively engage in shared learning across the Data and Analytics organization.
  • Work with partners to increase vendor/partner efficiencies.
  • Recommend new or improved processes relating to clinical data management.

Minimum Qualification Requirements:
  • Master's degree in a scientific or technical field such as Informatics/Analytics, Life Sciences, Statistics, Information Technology, Epidemiology, Computer Sciences (or Bachelor's degree plus 3 or more years of experience in clinical data management or areas that closely intersect with clinical data management, such as statistics, data analytics, information technology, health outcomes, etc...)
  • Qualified candidates must be legally authorized to be employed in the United States. Lilly does not anticipate providing sponsorship for employment visa status (e.g., H-1B or TN status) for this employment position

Other Information/Additional Preferences:
  • Demonstrated ability to effectively partner/influence a virtual team and drive a technical project to deliver positive results
  • Demonstrated ability to lead development of creative solutions to address data-related clinical development challenges
  • Passionate about improving technological solutions using new technologies
  • Society of Clinical Data Management certification
  • Working knowledge of programming languages & industry tools such as Tableau, PowerBI, Python, SAS, R and Shiny for reporting, metrics, and visualizations, along with P-SQL, T-SQL for DBMS.
  • Experience with the following:
  • Articulating the flow of data (structure and format) from study start-up to analysis and applying this knowledge to data solutions
  • Utilization of clinical/drug development knowledge and an ability to liaise effectively with study team members (i.e., Statistics, PK, Operations, Medical)
  • Strong therapeutic/scientific knowledge in the field of research
  • Knowledge of medical terminology
  • Domestic and international travel may be required
  • Ability to balance multiple activities, prioritize and manage ambiguity
  • Demonstrated exemplary teamwork/interpersonal skills
  • Demonstrated problem solving, attention to detail and result oriented behaviors in a fast-paced environment

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
$65,250 - $148,500
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.
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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