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Data Science Project Manager Jobs in Indiana (NOW HIRING)

... 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 ...

Project Lead Data Manager

Indianapolis, IN · Hybrid

$49.50 - $67/hr

Project Lead Data Manager As a Project Lead Data Manager, you will serve as a technical authority ... Bachelor's degree (BS) or equivalent in a scientific field, or relevant work experience in animal ...

... data-driven recommendations to stakeholders. * Maintain project documentation in line with internal ... Understanding of scientific principles and manufacturing processes used in medical device ...

... data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity ...

... data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity ...

... data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity ...

... data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity ...

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Data Science Project Manager information

See Indiana salary details

$16

$54

$76

How much do data science project manager jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for data science project manager in Indiana is $54.72, according to ZipRecruiter salary data. Most workers in this role earn between $47.36 and $64.04 per hour, depending on experience, location, and employer.

What is the 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that in data science projects, roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance efficiently.

What is the hottest job of the 21st century?

Data Science Project Managers are among the most in-demand roles due to the rapid growth of data-driven decision making. They coordinate teams, manage projects, and utilize skills in analytics, programming, and tools like Python or R to deliver insights, making this a highly sought-after career in the evolving tech landscape.

What is a data science project manager?

A data science project manager oversees data-driven projects, coordinating teams of data scientists, analysts, and engineers to ensure timely delivery of insights and solutions. They plan project timelines, manage resources, and communicate findings to stakeholders, often using tools like project management software and understanding data science methodologies.

How does a Data Science Project Manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What is the difference between Data Science Project Manager vs Data Analyst?

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a Data Science Project Manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.

Can a data scientist become a project manager?

A data scientist can become a project manager by developing skills in leadership, communication, and project planning, often gaining experience in managing teams and projects. Transitioning may also involve obtaining certifications like PMP or Agile, and understanding project management tools. Success depends on the individual's ability to adapt their technical expertise to broader project oversight responsibilities.
What are popular job titles related to Data Science Project Manager jobs in Indiana? For Data Science Project Manager jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Science Project Manager jobs in Indiana look for? The top searched job categories for Data Science Project Manager jobs in Indiana are:
What cities in Indiana are hiring for Data Science Project Manager jobs? Cities in Indiana with the most Data Science Project Manager job openings:
Infographic showing various Data Science Project Manager job openings in Indiana as of June 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $113,823 per year, or $54.7 per hour.
Clinical Data Associate

Clinical Data Associate

Lilly

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 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 71 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.

#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