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Senior Clinical Data Analyst Jobs in Indiana (NOW HIRING)

CYNET SYSTEMS

Data Analyst

Indianapolis, IN · On-site

$27 - $32/hr

Clinical data management. Qualification And Education: * Medical Laboratory Medicine degree. * 5+ years of experience in a relevant field. Benefits: Our Benefits Include: * Medical, Dental, and ...

CYNET SYSTEMS

Data Analyst

Columbus, IN · On-site

$32 - $37/hr

... data validation and analysis. * Support initiatives to reduce manual Excel-based processes and ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

Becton, Dickinson and Company

Waters collaborates with analytical laboratories around the world to advance the release of ... Utilize and maintain accurate study data in clinical systems, including Veeva Vault CTMS and CDMS.

BioTalent

We are seeking an experienced Senior Clinical Research Associate (CRA) to independently manage and ... Perform source data verification, resolve site queries, and maintain data integrity and quality.

STI

Data Analyst - Indianapolis, IN

Indianapolis, IN · On-site

... by senior analyst • Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining, to more complex statistical ...

PadSplit

$45K - $55K/yr

We're looking for a Senior Data Analyst to own analyses end to end, build durable reporting infrastructure, and help shape how the company measures its business. This person will work daily across ...

New

SAIC

Data Analyst with Security Clearance

Bedford, IN · On-site

Serve as the primary contractor point of contact for all data analysis activities, reporting directly to government stakeholders including program managers, contracting officers, and senior ...

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Senior Clinical Data Analyst information

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How much do senior clinical data analyst jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for senior clinical data analyst in Indiana is $40.54, according to ZipRecruiter salary data. Most workers in this role earn between $32.93 and $45.77 per hour, depending on experience, location, and employer.

What does a senior clinical data analyst do?

A Senior Clinical Data Analyst is responsible for managing, analyzing, and interpreting clinical trial data to ensure its accuracy, integrity, and compliance with regulatory standards. They design data collection systems, oversee data quality checks, and collaborate with clinical teams to generate meaningful insights from clinical research. Their work supports decision-making in drug development and helps ensure that clinical studies produce reliable and valid results. Senior analysts often mentor junior staff and play a key role in process improvement within clinical data management.

What are the key skills and qualifications needed to thrive as a senior clinical data analyst, and why are they important?

To thrive as a Senior Clinical Data Analyst, you need expertise in data management, biostatistics, and a strong understanding of clinical research protocols, often backed by a degree in life sciences, statistics, or a related field. Familiarity with statistical software (such as SAS, R, or SQL), electronic data capture systems, and industry regulations like CDISC standards is essential. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex datasets and collaborate with multidisciplinary teams. These skills ensure the integrity and accuracy of clinical trial data, supporting evidence-based decisions and regulatory compliance.

How does a senior clinical data analyst typically collaborate with cross-functional teams during a clinical trial?

As a Senior Clinical Data Analyst, you will regularly interact with clinical operations, biostatistics, and data management teams to ensure data integrity and regulatory compliance throughout the clinical trial process. You'll participate in meetings to clarify data requirements, resolve discrepancies, and support the design of data collection tools. Close collaboration is crucial for timely database lock and for addressing data queries, making strong communication skills and a proactive approach essential for success in this role.

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

The most popular types of Clinical Data Analyst jobs in Indiana are:

What are popular job titles related to Senior Clinical Data Analyst jobs in Indiana?

For Senior Clinical Data Analyst jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Senior Clinical Data Analyst jobs in Indiana look for?

The top searched job categories for Senior Clinical Data Analyst jobs in Indiana are:

What cities in Indiana are hiring for Senior Clinical Data Analyst jobs?

Cities in Indiana with the most Senior Clinical Data Analyst job openings:

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Senior Clinical Data Analyst jobs near you
Infographic showing various Senior Clinical Data Analyst job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $84,325 per year, or $40.5 per hour.

Data Analyst

RADcube - A NLogix Company

Indianapolis, IN • On-site

$70 - $110/hr

Other

Posted 4 days ago

Job description

Indianapolis, United States | Posted on 08/07/2026

Founded in 2015, RADcube is a leading technology consulting and software development firm headquartered in Carmel, Indiana. The company specializes in transforming enterprise ideas into real-world innovations by leveraging emerging technologies such as Artificial Intelligence, Blockchain, and Cloud Computing.

With nearly a decade of industry experience, RADcube serves diverse sectors, including healthcare, finance, government, and manufacturing. Their core service portfolio includes:

Digital Transformation and strategy consulting.

Custom Software Development tailored to specific business needs.

Advanced Data Analytics and AI-driven platforms.

Cybersecurity and risk management.

Recognized for its innovation-led culture, RADcube operates RADlabs, an R&D hub focused on high-impact solutions like Responsible AI and Intelligent Automation. The firm is committed to a human-centric approach, ensuring cutting-edge technology delivers measurable business outcomes and long-term success for global clients.

The company’s commitment to innovation has earned significant industry honors:

2026 TechPoint Mira Awards Finalist: Named a finalist for Tech Company of the Year, recognizing high-growth pioneers that demonstrate extraordinary leadership.

Public Sector Excellence: Awarded the Utah NASPO Cloud & Software Solutions Contract, solidifying their role as a trusted partner for large-scale government digital initiatives and more.

Job Description

Data Analyst

Hybrid - Indianapolis, IN

About the Role

We are seeking a Data Analyst with 3-5 years of experience working specifically within the pharma industry to join a pharma-focused data team. This role focuses on turning large, complex datasets into clear, actionable insight for business stakeholders. You will work closely with data engineering teams to access and shape data from modern cloud platforms, and with business groups to understand their questions and translate them into reporting, dashboards, and analysis.

Key Responsibilities

Analyze large datasets housed in Databricks and AWS data platforms to answer business questions and support decision-making

Build and maintain reports, dashboards, and visualizations for pharma business stakeholders

Partner directly with business groups to gather requirements, clarify data needs, and translate them into analysis deliverables

Write and optimize SQL queries against large-scale (Big Data) datasets, including data processed through Spark pipelines

Perform data validation and quality checks to ensure accuracy and consistency of reporting outputs

Present findings and recommendations to both technical and non-technical audiences

Apply pharma domain knowledge to contextualize analysis and ensure relevance to business needs

Collaborate with data engineers to flag data gaps or pipeline issues affecting analysis

Requirements

Required Qualifications

3-5 years of data analysis / business intelligence experience specifically within the pharma industry

Working knowledge of Databricks for querying and analyzing data

Familiarity with AWS data services (e.g., S3, Redshift, Glue) in an analytics context

Comfortable working with Big Data and datasets processed through Apache Spark

Strong SQL skills; experience with Python for data analysis is a plus

Demonstrated ability to understand pharma business needs and speak to pharma business groups

Strong communication skills, with demonstrated ability to present data to business stakeholders

Bachelor's degree in a quantitative field (Statistics, Data Science, Business Analytics, or related), or equivalent practical experience

Preferred Qualifications

Experience with BI/visualization tools

Exposure to Delta Lake, Snowflake, or similar modern data platforms

Prior experience supporting pharma commercial, clinical, or R&D reporting functions

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