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- Tasks: Lead data strategy and architecture for innovative genomic diagnostics.
- Company: Join a pioneering start-up revolutionising next-gen diagnostics with AI and genomics.
- Benefits: Enjoy flexible, remote-first work with occasional lab visits and exciting corporate perks.
- Why this job: Be part of a mission-driven team tackling major medical challenges and making a real impact.
- Qualifications: Experience in data engineering and a passion for genomics and AI is essential.
- Other info: Opportunity to work in a high-impact biotech lab environment.
The predicted salary is between 43200 - 72000 £ per year.
Next-gen diagnostics start-up
Ensure you read the information regarding this opportunity thoroughly before making an application.
- Take ownership of data strategy and architecture from the ground up.
- Flexible, remote-first working with visits to a high-impact biotech lab.
- Cutting-edge work combining AI, genomics, and diagnostics to save lives.
Were working with a biotech start-up thats tackling one of modern medicines biggest challenges. Theyve built a next-generation diagnostic device and with AI, …
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Senior Data Engineer Genomic Data employer: ADLIB Recruitment
Contact Detail:
ADLIB Recruitment 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 latest advancements in AI and genomics. Understanding how these technologies intersect will not only help you in interviews but also demonstrate your genuine interest in the company's mission.
✨Tip Number 2
Network with professionals in the biotech and data engineering fields. Attend relevant webinars or local meetups to connect with others who share your interests, as they might provide insights or referrals that could help you land the job.
✨Tip Number 3
Prepare to discuss your previous experience with data strategy and architecture. Be ready to share specific examples of how you've successfully implemented data solutions in past roles, especially in a fast-paced environment.
✨Tip Number 4
Research the start-up's current projects and challenges. Being knowledgeable about their work will allow you to ask insightful questions during the interview, showcasing your enthusiasm and commitment to contributing to their goals.
We think you need these skills to ace Senior Data Engineer Genomic Data
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Senior Data Engineer position. Familiarise yourself with the responsibilities, especially around data strategy and architecture, to tailor your application effectively.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with AI, genomics, and diagnostics. Provide specific examples of projects where you've taken ownership of data strategies or architectures.
Showcase Your Skills: Make sure to highlight technical skills relevant to the role, such as programming languages, data engineering tools, and any experience with remote work setups. This will demonstrate your fit for a flexible, remote-first working environment.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for the biotech field and how you can contribute to saving lives through innovative diagnostics.
How to prepare for a job interview at ADLIB Recruitment
✨Understand the Company’s Mission
Before your interview, make sure you thoroughly understand the start-up's mission and how they are using AI and genomics to tackle modern medicine's challenges. This will help you align your answers with their goals and demonstrate your genuine interest in their work.
✨Showcase Your Technical Skills
As a Senior Data Engineer, you'll need to highlight your expertise in data strategy and architecture. Be prepared to discuss specific projects where you've successfully implemented data solutions, especially in the context of genomics or diagnostics.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to take ownership of projects. Think of examples from your past experiences where you had to make critical decisions regarding data management and architecture.
✨Ask Insightful Questions
At the end of the interview, have a few insightful questions ready about the company's future projects or challenges they face in the biotech field. This shows your enthusiasm and helps you gauge if the company is the right fit for you.
