Clinical Data Analyst – Evinova

Clinical Data Analyst – Evinova

Full-Time 40000 - 50000 € / year (est.) No home office possible
Evinova

At a Glance

  • Tasks: Analyse clinical data and optimise trial execution for better patient outcomes.
  • Company: Join Evinova, a pioneering health tech subsidiary of AstraZeneca.
  • Benefits: Competitive salary, excellent benefits, and a supportive work environment.
  • Other info: Inclusive culture with opportunities for professional growth and development.
  • Why this job: Make a real impact in healthcare through innovative data solutions.
  • Qualifications: Degree in relevant field and experience in clinical data management required.

The predicted salary is between 40000 - 50000 € per year.

Evinova is a fully owned subsidiary of AstraZeneca, pioneering health tech solutions to transform patients’ lives through technology, data, and innovative delivery practices. We deliver digitally‑based health solutions globally to clients in 40+ countries, accelerating clinical development and improving patient outcomes.

We are seeking a dynamic and experienced Clinical Data Analyst to actively contribute to data delivery while shaping the team’s development, improving processes, and driving strategic impact across our portfolio. You will operate at the intersection of data and study delivery for our customers, collaborating closely with cross‑functional teams to optimize clinical trial execution and patient outcomes.

Responsibilities

  • Drive the development, review, and sign‑off of data management documentation, including Data Management Plans and Data Transfer Agreements with customer study teams.
  • Contribute to and validate raw data standards for clinical measurements and digital endpoints (e.g., eCOA, sensor data).
  • Configure mapping files and test datasets to reflect agreed clinical data flows; validate data outputs to ensure alignment with specifications.
  • Collaborate with cross‑functional teams to resolve data‑related issues in production environments, ensuring minimal disruption to clinical operations.
  • Submit and track change requests for production deployments and updates.
  • Represent the Data Delivery function in internal and external meetings, driving data transfer requirements, timelines, and deliverables.
  • Communicate effectively with internal teams, Evinova study teams, and customers to ensure smooth data operations.
  • Support ongoing enhancement of data delivery processes and contribute to knowledge sharing across teams.

Essential Requirements

  • Bachelor’s or Master’s degree in a relevant field (e.g., Clinical Data Management, Computer Science, Data Engineering).
  • Significant experience in clinical data management and digital health delivery.
  • Strong understanding of clinical data standards (e.g., RDS), mapping, and transformation processes.
  • Knowledge of regulatory standards (e.g., GxP, ICH GCP, FDA 21 CFR, GDPR).
  • Familiarity with tools such as AWS S3, JIRA, and scripting languages (e.g., TypeScript).
  • Proficiency with GitHub for basic operations (push, pull, merge, pull requests).
  • Experience working in VSCode or other coding editors.
  • Experience with SAS Universal Viewer (SAS7DBAT).
  • Proficient in the Microsoft suite (Teams, SharePoint, Excel, Word).
  • Ability to interpret and troubleshoot data pipeline configurations and test outcomes.
  • Excellent communication and collaboration skills across technical and clinical teams.
  • Comfortable working across clinical, technical, and operational teams.

Desirable Requirements

  • Skill in JSON text formatting and data mapping, including creating configuration files in JSON and TypeScript.

Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments and accommodations to help all candidates perform at their best. If you have a need for any adjustments or accommodations, please complete the section in the application form.

Clinical Data Analyst – Evinova employer: Evinova

Evinova, a subsidiary of AstraZeneca located in the vibrant St Pancras area of London, is an exceptional employer that champions innovation and collaboration in health tech solutions. With a strong focus on employee growth, we offer competitive salaries, excellent benefits, and a supportive work culture that values diversity and inclusion, ensuring that every team member can thrive while making a meaningful impact on patient outcomes globally.

Evinova

Contact Detail:

Evinova Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Clinical Data Analyst – Evinova

Tip Number 1

Network like a pro! Reach out to current or former employees at Evinova on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

Tip Number 2

Prepare for the interview by knowing your stuff! Dive deep into Evinova’s projects and values. Show them you’re not just another candidate; you’re genuinely interested in how you can contribute to their mission.

Tip Number 3

Practice makes perfect! Get a friend to do mock interviews with you. Focus on articulating your experience with clinical data management and how it aligns with what Evinova is looking for.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team at Evinova.

We think you need these skills to ace Clinical Data Analyst – Evinova

Clinical Data Management
Data Management Plans
Data Transfer Agreements
Clinical Data Standards
Mapping and Transformation Processes
Regulatory Standards (GxP, ICH GCP, FDA 21 CFR, GDPR)
AWS S3

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Clinical Data Analyst role. Highlight relevant experience in clinical data management and any specific tools or standards mentioned in the job description. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about health tech and how you can contribute to Evinova's mission. Keep it concise but impactful, and don’t forget to mention your experience with cross-functional teams.

Showcase Your Technical Skills:Since this role involves a lot of technical work, make sure to showcase your proficiency with tools like AWS S3, JIRA, and any scripting languages you know. We love seeing candidates who can hit the ground running with their technical expertise!

Apply Through Our Website:We encourage you to apply through our website for the best chance of being noticed. It’s super easy, and you’ll be able to fill out all the necessary details without missing anything. Plus, we love seeing applications come directly from our site!

How to prepare for a job interview at Evinova

Know Your Data Standards

Make sure you brush up on clinical data standards like RDS and regulatory guidelines such as GxP and ICH GCP. Being able to discuss these in detail will show that you understand the core of the role and can contribute effectively from day one.

Showcase Your Technical Skills

Be prepared to talk about your experience with tools like AWS S3, JIRA, and any scripting languages you know, especially TypeScript. Bring examples of how you've used these tools in past projects to solve data-related issues or improve processes.

Communicate Clearly

Since this role involves collaboration with cross-functional teams, practice articulating your thoughts clearly. Think of examples where you successfully communicated complex data issues to non-technical stakeholders, as this will highlight your ability to bridge the gap between technical and clinical teams.

Prepare for Scenario Questions

Expect questions that ask how you would handle specific data-related challenges in a clinical trial setting. Prepare by thinking through potential scenarios and how you would approach them, focusing on problem-solving and collaboration with other teams.