Why this grade
This listing scored 86/100, which is an A. It lost the most ground on corroboration.
- Pay transparency 25 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 15 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Mid level Entry level Full Time
As an EDC Data Solution Specialist (Data Manager), you will work at the intersection of data, systems, and clinical research. You will translate clinical study requirements into practical EDC solutions — from understanding study protocols to building and testing electronic forms, configuring validation rules, and supporting clinical data throughout the study lifecycle.
We are looking for someone with a strong analytical mindset and relevant experience working with data, software systems, or structured technical processes. Previous experience with EDC systems or clinical trials is an advantage, but not a requirement. You will receive training on our EDC platform and study-specific processes.
What You’ll Do:
A key part of your role will be learning to configure and manage study databases in our EDC system. You will work closely with the EDC team and customers, gradually taking ownership of study-specific configurations and data-related activities.
Review clinical study protocols and translate their requirements into electronic case report forms (eCRFs) and system configurations
Build, configure, test, and maintain clinical study databases in the EDC system
Configure forms, edit checks, validation rules, workflows, and study-specific functionality
Test configured solutions and verify that data is collected and processed according to study requirements
Create and maintain database specifications, validation guidelines, and other study documentation
Investigate data discrepancies and support query generation and resolution
Import, verify, and reconcile laboratory, safety, and other external study data
Prepare study datasets and support data exports, database lock/unlock, and archiving
Work with customers and internal teams to understand requirements and resolve system- and data-related questions
Contribute to EDC procedures, guidelines, templates, and documentation
Support EDC users and develop your expertise in clinical data flows and EDC processes
Who You Are:
We are open to candidates from different backgrounds.
You have a university degree in Computer Science, Life Sciences, Medical Sciences, or a related field
You have relevant professional experience working with data, software systems, system implementation/configuration, business or system analysis, or other structured technical processes
You are comfortable working with data structures, validation logic, data quality, and data flows
You can analyze requirements and translate them into clear and structured solutions
You have strong analytical and problem-solving skills
You are detail-oriented and able to identify inconsistencies, errors, and gaps
You are comfortable learning new technical systems and understanding how their components and processes work
You can work independently while collaborating effectively with colleagues and customers
You communicate confidently in English, both written and spoken
Nice to Have:
Any of the following will help you get up to speed faster:
Experience with EDC or other clinical/medical software systems
Experience in clinical trials or clinical data management
Previous experience with system configuration, form builders, workflows, validation rules, or similar tools
Experience with eCRFs or IRT
Knowledge of MedDRA or WHO Drug
Understanding of clinical trial data flows, data validation, reconciliation, or database lock processes
Job conditions:
Flexible work schedule
Fully remote
Annual leave (depends on contract type)
Sick days fully paid by the company (depends on contract type)
Competitive compensation depending on experience and skills
Awesome team of highly qualified professionals
Open door policy; low bureaucracy level
How we work:
We care more about the things you do rather than your set working hours. We have flexible start hours from 8:00 to 11:00. Participating in meetings with clients and (fixed) team meetings is important.
We value respect, transparency, proactivity, openness, and a positive approach. We care about our team’s mental health and happiness, which is why we follow an open-door policy and accept constructive feedback from both sides.
We believe in teamwork with our clients and employees and build long-lasting, trusted relationships.
To apply for this position, please contact:
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
Where this listing came from
- 30 Sep 2026 Himalayas first sighting
Seen on 1 board over 0 days.