At a Glance
- Tasks: Join our team to build the Verisian Platform and enhance clinical trial insights.
- Company: Innovative company focused on data engineering in the healthcare sector.
- Benefits: Remote work, employee stock options, pension plan, and global summits.
- Other info: Diverse candidates encouraged to apply; growth opportunities in a collaborative environment.
- Why this job: Make a real impact in healthcare by developing cutting-edge data solutions.
- Qualifications: Proficient in Python, SQL, and passionate about data engineering.
The predicted salary is between 50000 - 70000 € per year.
As a Data Engineer, you will join our world‑class engineering team in building the Verisian Platform. Your work will expose clinical trial insights to data managers, statistical programmers, statisticians, medical writers, and regulatory authorities. You will be expected to lead the analysis, design, building and testing of components of the engine and data validation rules. You will design, prioritise, build and test new functionality, troubleshoot customer issues, find root causes, and deploy required fixes to ensure maximum user impact and performance.
Responsibilities
- Support the Planner, Builder, Explorer, Validator, Submitter, and related modules that address planning, exploration/onboarding, building, validation, submission, and review of clinical trials and results.
- Create data validation rules (custom DSL) and develop the data analysis engine (Python) that automatically detects inconsistencies and analysis errors while enforcing regulatory data standards.
- Build pipelines that analyze clinical trial documentation, code, logs, data, and results to construct a knowledge graph through code traceability, and use the resulting dataset for AI‑driven insights.
Qualifications
- Extensive experience in Python and at least one other programming language.
- Extensive experience with SQL and data engineering principles.
- Extensive passion for data.
- Experience with complex root‑cause analyses to identify and resolve bugs.
- Experience identifying and resolving performance and scalability issues.
- Strong focus on building as a team: a We & Mission mindset.
- Strong ability to communicate complex technical problems, foresee risks, and align work across multiple teams.
- “If it’s not code and documented, it doesn’t exist” mindset.
- Iteration mindset.
Bonus Points
- Experience with data standards, specifically CDISC SDTM/ADaM.
Benefits
- Employee Stock Options Plan.
- All remote, asynchronous work environment with in‑person summits around the world.
- Pension plan and additional benefits depending on country of residence.
EEO Statement
We welcome candidates of diverse experience levels, and meeting every requirement is not mandatory. Research indicates that underrepresented groups tend to apply only if they meet all qualifications. If you’re enthusiastic about the role, please apply and let our recruiters evaluate your application.
Data Engineer in London employer: Verisian
Join our innovative team as a Data Engineer and be part of a world-class engineering environment that champions collaboration and creativity. We offer a fully remote, asynchronous work culture that prioritises employee well-being, alongside competitive benefits such as an Employee Stock Options Plan and a pension scheme. With opportunities for professional growth and the chance to contribute to impactful clinical trial insights, this role is perfect for those looking to make a meaningful difference in the healthcare sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role at the company.
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice coding challenges and be ready to discuss your past projects and how you tackled complex problems.
✨Tip Number 3
Showcase your passion for data! During interviews, share examples of how you've used data to drive decisions or solve issues. This will demonstrate your commitment to the field and align with our mission.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let your enthusiasm for data shine through! We love candidates who are genuinely excited about data engineering and can demonstrate their passion in their previous work or projects.
Highlight Your Technical Skills:Make sure to clearly outline your experience with Python, SQL, and any other programming languages you know. We want to see how your skills align with the role, so don’t hold back on showcasing your technical prowess!
Communicate Clearly:Since you'll be tackling complex problems, it's crucial to communicate your thought process effectively in your application. Use clear language to explain your past experiences and how you've resolved issues, as this will resonate with us.
Apply Through Our Website:We encourage you to apply directly through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Verisian
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in data engineering contexts. This will show that you not only understand the technical requirements but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex root-cause analyses you've conducted in the past. Think of examples where you identified bugs or performance issues and how you resolved them. This will demonstrate your analytical mindset and ability to troubleshoot effectively.
✨Emphasise Team Collaboration
Since this role requires a strong focus on teamwork, be ready to share experiences where you collaborated with others to achieve a common goal. Highlight how you communicated complex technical problems and aligned work across different teams, showcasing your 'We & Mission' mindset.
✨Understand the Regulatory Landscape
Familiarise yourself with data standards like CDISC SDTM/ADaM if you have experience with them. Even if you don’t, showing enthusiasm for learning about regulatory data standards can set you apart. It shows you're proactive and willing to dive into the specifics of the industry.
