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Biotech Data Management Jobs in Indiana (NOW HIRING)

IQVIA

CRA 1, IQVIA Biotech

Indianapolis, IN

$71K - $145K/yr

... site management activities. In this position, you will ensure that assigned study sites conduct ... This role is essential in protecting patient safety, ensuring highquality clinical data, and ...

The AES Group

Microsoft Fabric Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... schema management, and production-grade reliability. * Integrate Azure OpenAI (or equivalent ... Experience in pharmaceutical, biotechnology, or medical device development environments --working ...

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Biotech Data Management information

See Indiana salary details

$13

$31

$53

How much do biotech data management jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for biotech data management in Indiana is $31.47, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $37.31 per hour, depending on experience, location, and employer.

What is biotech data management?

Biotech data management refers to the collection, storage, organization, and analysis of large volumes of biological and experimental data generated in biotechnology research and development. This role ensures that data is accurate, accessible, and secure, supporting scientific discoveries and regulatory compliance. Professionals in this field often work with databases, bioinformatics tools, and data governance policies to help researchers make informed decisions and maintain data integrity.

What are the key skills and qualifications needed to thrive in biotech data management?

To thrive in Biotech Data Management, you need a strong background in biology or life sciences, data analysis, and database management, typically supported by a relevant degree. Familiarity with bioinformatics tools, laboratory information management systems (LIMS), and programming languages such as Python or R is commonly required. Attention to detail, problem-solving, and effective communication are vital soft skills for ensuring data integrity and collaboration across teams. These competencies are essential for managing complex scientific data, supporting research accuracy, and driving innovation in biotech environments.

What are some common challenges faced in a biotech data management role, and how can they be addressed?

One of the main challenges in Biotech Data Management is ensuring data integrity and compliance with strict regulatory standards such as FDA or GDPR. Managing large and complex datasets from a variety of laboratory instruments and research studies also requires strong attention to detail and robust data organization skills. Collaboration with scientists, IT professionals, and regulatory teams is essential to maintain accurate and accessible records. Using validated data management systems and staying up-to-date with industry best practices can help address these challenges and ensure high-quality, reliable data.

What is the difference between Biotech Data Management vs Biotech Data Analyst?

AspectBiotech Data ManagementBiotech Data Analyst
Required CredentialsBachelor's in Life Sciences, Bioinformatics, or related; familiarity with database systemsBachelor's in Biology, Statistics, or related; proficiency in data analysis tools
Work EnvironmentData management teams, laboratories, biotech companiesResearch teams, biotech firms, data analysis departments
Employer & Industry UsageUsed across biotech, pharmaceutical, and research organizations for data organizationUsed for interpreting data, generating reports, and supporting research decisions

Biotech Data Management focuses on organizing, maintaining, and ensuring data integrity within biotech organizations, often involving database systems and data quality control. In contrast, Biotech Data Analysts interpret and analyze data to generate insights, reports, and support research outcomes. While both roles require strong data skills, Data Management emphasizes data storage and quality, whereas Data Analysis emphasizes data interpretation and reporting.

What are popular job titles related to Biotech Data Management jobs in Indiana?

For Biotech Data Management jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Biotech Data Management jobs in Indiana look for?

The top searched job categories for Biotech Data Management jobs in Indiana are:

What cities in Indiana are hiring for Biotech Data Management jobs?

Cities in Indiana with the most Biotech Data Management job openings:

Biotech Data Management jobs near you
Infographic showing various Biotech Data Management job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $65,463 per year, or $31.5 per hour.

Senior Clinical Data Manager (Remote - US)

MMS

Zionsville, IN • On-site

Full-time

Posted 15 days ago

Job description

Are you looking to join a company where your contributions truly matter, and where you'll be part of a supportive, innovative team? MMS is a award-winning, data-focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work certified organization, recognized for our exceptional culture and industry best employee retention rate. We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS not only maintains an industry-leading customer satisfaction rating but also fosters a collaborative and inclusive work environment where employees can thrive. Join us at MMS and be part of a team that is shaping the future of clinical research.
 
Discover more about our exciting opportunities and why MMS is a great place to advance your career. Visit www.mmsholdings.com or follow MMS on LinkedIn.
Roles and Responsibilities:
  • Confidently displays excellent internal and external customer service.
  • Has proficiency and knowledge of multiple EDC systems; applies this knowledge to advise customers regarding the best-fit EDC solution.
  • Interacts directly and independently with DM suppliers including EDC and/ or IWR; expert communicator, where necessary negotiating with supplier to meet business needs.
  • Interacts directly and independently with client to coordinate all facets of projects; expert communicator; builds and maintains strong client contacts and relationships.
  • Responsible for entire data management process from study set-up to study close-out; primary contact on all data management study-specific issues; has high-level knowledge of drug development as it pertains to data management.
  • Actively participates in protocol review with clients, providing suggestions regarding ability to capture protocol information in database successfully.
  • Strong understanding of GCP/ ICH guidelines and FDA regulations, as applicable to data management.
  • Creates training exercises; serves as mentor and trains new clinical data managers.
  • Provides oversight and resolves all issues in data management study processing activities including CRF tracking and data entry, integration of external electronic data (e.g., lab data) with clinical database, data validation and review, query processing and resolution, adverse event and medication coding, SAE reconciliation, database lock and database QC audits.
  • Oversees and develops data management study documentation including Case Report Forms, CRF Completion Guidelines, Database Design via annotated CRFs, Validation specifications (edit checks), and Data Management Plan.
  • Preparation of any study tracking and metric reports for use by the study team.
  • Oversees execution of user acceptance testing (UAT) of study-specific systems and applications.
  • Interacts with cross-functional team members to ensure completion of all timelines and studies.
  • Participates in data management and/or organizational initiatives.
  • Initiates SOP updates and provide specifications for DM systems/ tools and process enhancements.
  • May act as resource for QC activities in collaboration with QC Coordinator.
  • Understands and follows processes related to project management as appropriate for data management projects (e.g., updating PSS, close-out procedures, etc.).
  • Confident, positive attitude displayed towards clients and projects.
  • Willingness to learn new skills and expand knowledge of drug development.
  • Leads data management projects with little management oversight.
  • Ability to work independently and resolve issues.
  • Ability to clearly articulate the DM services offered at company, including pros and cons of various DM approaches (specific to a client or operating model). To include potential attendance at (web or remote) capabilities and bid defense meetings.
Requirements:
  • Bachelor’s or Master’s Degree in scientific or health care field preferred with industry or relevant experience.
  • 5+ years’ experience in data management field with a minimum of 1 year of experience leading projects.
  • Extensive knowledge of paper CRF study systems, EDC, and hybrid CDM systems.
  • Extensive knowledge of Clinical Operations SOPs and Working Practices.
  • Excellent verbal and written communication skills, as well as, interpersonal and organizational skills.

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About M. M. S.

Sourced by ZipRecruiter

Industry

Pharmaceutical and medicine manufacturing

Company size

1 - 10 Employees

Headquarters location

Los Angeles, CA, US

Year founded

1980

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