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- Tasks: Lead data architecture and pipeline design for a life-saving biotech platform.
- Company: Join a pioneering biotech start-up revolutionising diagnostics with AI and DNA sequencing.
- Benefits: Enjoy remote work flexibility, competitive salary, wellbeing budget, and generous parental leave.
- Why this job: Make a real impact in healthcare while collaborating with scientists and engineers in a dynamic environment.
- Qualifications: 4+ years in data engineering, experience with genomic data, and strong Python/SQL skills required.
- Other info: Monthly trips to the Bristol lab covered; role exclusive to ADLIB.
The predicted salary is between 43200 - 72000 £ per year.
We’re working with a biotech start-up that’s tackling one of modern medicine’s biggest challenges. They’ve built a next-generation diagnostic device and with AI, machine learning, and their own DNA sequencing tech in play, they’re solving incredibly complex problems at the intersection of science and software.
What you’ll be doing:
Coming in as the Senior Data Engineer, you’ll take the reins on all things data – shaping the architecture, strategy, and pipeline design that supports a life-saving platform.
You’ll be leading on the design and implementation of scalable, secure data pipelines – getting experimental and genomic data into formats that data scientists and machine learning engineers can easily work with. You\’ll be collaborating closely with engineers and scientists, helping to bridge the gap between their experiments and actionable data. That might mean streaming data off DNA sequencers, integrating with LIMS systems, or improving how they trace results back to original experiments.
This is a great opportunity for someone looking to step up into a role with real autonomy, and to shape how data is handled across the company.
What experience you’ll need to apply:
- 4+ years in a data engineering or similar role, building and maintaining data pipelines
- Exposure to life sciences, genomics, or regulated medical environments (such as ISO 13485) or significant work within this sector/environment
- Exposure to genomic data formats and tools
- Exposure to GCP
- Strong experience with Python and SQL
- Experience working with data lakes, warehouses, and large-scale datasets
- Understanding of data privacy and security principles
- Comfortable working across both on-premise and cloud-based data systems
- Clear communicator, able to translate complex data concepts to cross-functional teams
- A Master’s or PhD in Computer Science, Data Science, Bioinformatics, or similar/equivalent experience
What you’ll get in return:
You’ll join a purpose-driven start-up doing incredibly meaningful work, with a flexible, remote-first culture and the autonomy to make a big impact. The role is mostly remote, with monthly trips to their Bristol lab (travel costs covered).
A competitive salary plus a wellbeing budget, generous maternal/parental leave, and flexible hours around a core schedule.
What’s next?
Apply with your updated CV, and we’ll review your application as soon as possible to set up a call and discuss the role further! For any questions, feel free to ping Tegan an email!
Please note, this role is exclusive to ADLIB and any speculative CVs from other recruiters will be forwarded to us. #J-18808-Ljbffr
Senior Data Engineer – Genomic Data employer: ADLIB
Contact Detail:
ADLIB Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer – Genomic Data
✨Tip Number 1
Familiarise yourself with the specific genomic data formats and tools mentioned in the job description. This will not only help you understand the role better but also allow you to speak confidently about your experience during any discussions.
✨Tip Number 2
Network with professionals in the biotech and life sciences sectors. Engaging with others who work in similar roles can provide insights into the company culture and expectations, which can be invaluable when preparing for interviews.
✨Tip Number 3
Brush up on your knowledge of GCP and data privacy principles, as these are crucial for the role. Being able to discuss how you’ve implemented these in past projects will demonstrate your readiness for the position.
✨Tip Number 4
Prepare to showcase your ability to communicate complex data concepts clearly. Think of examples where you've successfully collaborated with cross-functional teams, as this will highlight your fit for the collaborative nature of the role.
We think you need these skills to ace Senior Data Engineer – Genomic Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly focusing on your work with data pipelines and any exposure to life sciences or genomics. Use specific examples that demonstrate your skills in Python, SQL, and cloud platforms like GCP.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for the biotech field. Mention how your background aligns with the company's mission and the specific challenges they are tackling in modern medicine.
Showcase Relevant Projects: If you have worked on projects involving genomic data or data privacy and security principles, be sure to include these in your application. Describe your role and the impact of your contributions to give the hiring team insight into your capabilities.
Highlight Communication Skills: Since the role requires clear communication with cross-functional teams, emphasise your ability to translate complex data concepts into understandable terms. Provide examples of how you've successfully collaborated with engineers and scientists in the past.
How to prepare for a job interview at ADLIB
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data pipelines, especially in the context of genomic data. Highlight specific projects where you've used Python and SQL, and be ready to explain how you approached challenges in building scalable and secure data architectures.
✨Understand the Industry Context
Familiarise yourself with the biotech sector, particularly around life sciences and genomics. Being able to speak knowledgeably about relevant regulations, such as ISO 13485, will demonstrate your commitment and understanding of the environment you'll be working in.
✨Communicate Clearly
As a Senior Data Engineer, you'll need to bridge the gap between technical and non-technical teams. Practice explaining complex data concepts in simple terms, so you can effectively communicate with engineers and scientists during the interview.
✨Demonstrate Collaboration Skills
Since the role involves working closely with cross-functional teams, prepare examples of how you've successfully collaborated in the past. Discuss how you’ve contributed to team projects and how you handle feedback and differing opinions.
