Clinical Data Manager - Operations

Signant Health; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Signant Health in Bengaluru, India is seeking a Clinical Data Manager to join the Data Management team. You will provide data management services for trials, author data management documents, perform user acceptance testing on data deliverables, and coordinate data clarifications and changes.

The role requires a BA/BS in a relevant field, strong communication, attention to detail, and at least 5 years of clinical trials data management experience.

Qualifications

• BA/BS in a relevant field (Medicine, Statistics, Computer Science) or equivalent work experience.
• Strong verbal and written communication skills.
• Ability to complete high quality technical documentation.
• Demonstrate extreme attention to detail and organization.
• Proven ability to meet short deadlines in a fast-paced environment.
• 5+ years of professional experience in clinical trials data management.
• Experience in providing data management services in the clinical trials industry.

Responsibilities

• Collaborate across functional groups to address technical issues within Data Management.
• Provide data management guidance to internal project teams and customers.
• Communicate with project teams and customers on data management activities for a study.
• Perform user acceptance testing on reports and automated data checks for data cleaning activities.
• Review, decide, and act upon outputs from automated data checks.
• Facilitate risk assessments for mid-study changes.
• Verify data extracts against the DTS and data dictionaries.
• Support SOPs, Working Instructions, and Best Practices updates.

Skills

Clinical data management

Data collection

Regulatory compliance

SQL/Access

Documentation

Communication

Education

BA/BS in Medicine/Statistics/Computer Science

Tools

Access

Excel

Job description

Job Description

Posted Monday, August 17, 2026 at 6:30 PM

About Signant Health

At Signant Health, we help bring life-changing treatments to patients faster. We are a global evidence generation company that supports clinical trials with smart technology, scientific expertise, and hands‑on operational support — so better data leads to better decisions in healthcare. We embrace AI and advanced technologies to enhance every aspect of what we do, from data analysis to operational efficiency.

Our teams work at the intersection of science, technology, and patient experience, delivering digital solutions powered by AI innovation that make clinical trials more efficient, more accurate, and more accessible around the world. Trusted by leading pharmaceutical companies and CROs, our platforms and services support studies across more than 90 countries and have contributed to hundreds of new drug approvals.

If you are motivated by meaningful work, global impact, and innovation in clinical research and digital health — including the opportunity to work with cutting‑edge AI technologies — you will find purpose and opportunity at Signant Health.

About the Role

The Clinical Data Manager is responsible for working with the Clinical Data Management team and other internal project team members to provide data management services for our customers to ensure on time and accurate deliverables. Responsibilities include providing data management guidance to internal project team members and customers; communicating with internal project team members and customers on all aspects of data management activities performed for a study; authoring data management documents; performing user acceptance testing on data management deliverables; and facilitating and verifying data clarifications and data changes.

KEY ACCOUNTABILITIES - Function

• Collaborate across functional groups to address technical issues impacting quality, drive forward technical initiatives within Data Management
• Provides data management guidance to internal project team members and customers
• Communicates with internal project team members and customers on all aspects of data management activities performed for a study
• Performs user acceptance testing on reportsand automated data checks programmed to support the data cleaning activitiesspecified in the DMP
• Reviews, makes decisions, and acts upon output from automated data checks
• Facilitates risk assessments for mid-study changes
• Verifies data extracts against the DTS
• Facilitates and verifies data clarifications,data corrections, and external data reconciliation
• Contribute to the development and update of process improvements that reduce processing times, increase quality, mitigate operations risks, improve team performance, and meet departmental objectives and corporate objectives
• Communicates effectively within a multi-disciplinary project team to complete assigned tasks on time and within budget
• Assists in developing and improving Standard Operating Procedures (SOPs), Working Instructions and Best Practices

KNOWLEDGE, SKILLS & ATTRIBUTES

Essential:

• BA/BS degree in a relevant field (Medicine, Statistics, Computer Science) or equivalent work experience
• Strong verbal and written communication skills
• Ability to complete high quality technical documentation
• Demonstrate extreme attention to detail and organization in all aspects of work
• Ability to quickly learn and apply new skills, procedures and approaches.
• Demonstrated ability to meet very short deadlines & multi-task in an extremely fast‑paced work environment with little direct supervision
• Proven ability to work both independently and in a team-oriented environment, providing back-up support to team members & establishing/maintaining effective work relationships with co-workers within and across functional areas
• Previously demonstrated proactive and positive approach totasks andprojects overall,as well to the types ofscheduling & process changes that are inherent in a fast-paced business
• 5+ years of professional experience in the clinical trials data management field
• Experience in providing data management services in the clinical trials industry
• Proficient in Access, Excel, and other office software technologies and applications.
• Proven ability to handle multiple competing priorities in a fast‑paced work environment with minimal direct supervision.
• Familiarity with 21 CFR Part 11 or experience in a regulated environment desirable

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Why Signant Health?

At Signant Health, your work has real impact. Everything we build, support, and deliver helps advance clinical research and bring new treatments to patients faster — improving lives around the world. Our teams combine science, technology, and operational expertise to solve complex clinical trial challenges, and every role contributes to that mission.

We offer a collaborative, global environment where you can grow your career while working alongside experts across clinical, technology, data, and operations, with opportunities to learn, take ownership, and drive meaningful innovation — not just maintain the status quo.

If you are looking for purpose-driven work, smart colleagues, and the opportunity to help shape the future of clinical research and digital health, Signant Health is the place to do it.

At Signant Health, accepting difference isn't enough — we celebrate it, we support it, and we nurture it for the benefit of our team members, our clients, and our community. We are proud to be an equal opportunity workplace and an affirmative action employer, committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. Prior to their start date, all new hires are required to be verified through a thorough background check and identity verification to confirm eligibility for employment.

Unsolicited resumes submitted by agencies or third‑party recruiters directly to hiring managers or any Signant Health employee will not be considered and will not obligate Signant Health to any fees or terms associated with the submission.

Job Family Operations

Job Function AEM-Data Science, Business Intelligence and Data Engineering