Senior Bioinformatics Data Engineer - Singular: Building Brilliant Biotechs in Oxford
Senior Bioinformatics Data Engineer - Singular: Building Brilliant Biotechs

Senior Bioinformatics Data Engineer - Singular: Building Brilliant Biotechs in Oxford

Oxford Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and maintain data systems for large-scale genomic data analysis.
  • Company: Pioneering Oxford-based biotech transforming functional genomics and therapeutic discovery.
  • Benefits: Flexible hybrid/remote work, competitive salary, and opportunities for professional growth.
  • Why this job: Join a cutting-edge team and make a real impact in genomic research.
  • Qualifications: Experience in biotech, scalable data pipelines, and tools like Dagster and Nextflow.
  • Other info: Collaborative environment with a focus on innovation and career development.

The predicted salary is between 48000 - 72000 £ per year.

Are you a data engineer passionate about turning large-scale genomic data into actionable biological insight? Join a cutting-edge biotech at the forefront of functional genomics and therapeutic discovery.

This pioneering Oxford-based biotech is unlocking the non-coding genome to understand the root causes of human disease and enable new therapeutic targets. Combining high-throughput functional genomics with advanced computation and machine learning, the company’s platform integrates vast, complex datasets to drive precision drug discovery.

As part of a cross-disciplinary Computational team, you’ll help expand and scale the data infrastructure that powers these discoveries, working at the interface of bioinformatics, data engineering, and software development.

As Senior Bioinformatics Data Engineer, you will design, build, and maintain robust data systems that manage the flow of large-scale functional genomics data from raw, unstructured lab outputs to structured, accessible datasets used for analysis and decision-making. You’ll collaborate with bioinformaticians, machine learning specialists, and software engineers to ensure scalability, reliability, and performance across the entire data ecosystem.

Key Responsibilities
  • Develop and manage core data infrastructure enabling automated data flows from lab data to analytics-ready formats.
  • Build and optimise scalable biological data processing pipelines (Nextflow, Seqera).
  • Maintain and develop cloud-based infrastructure with high uptime, failsafes, and modern DevOps/DataOps practices.
  • Implement data modelling solutions across relational and non-relational databases (PostgreSQL, Elasticsearch).
About You

You’ll thrive in this role if you have:

  • Industry experience within biotech, pharma, or large-scale computational research.
  • Expertise using Dagster and Nextflow.
  • Experience designing and implementing scalable data pipelines for biological data.

This role can be hybrid or remote with monthly office commitments. If you’re ready to shape the data backbone of a platform redefining genomic discovery, apply now!

Senior Bioinformatics Data Engineer - Singular: Building Brilliant Biotechs in Oxford employer: Jobster

As a Senior Bioinformatics Data Engineer at this innovative Oxford-based biotech, you'll be part of a dynamic team dedicated to transforming genomic data into groundbreaking therapeutic insights. The company fosters a collaborative work culture that encourages professional growth and offers flexible working arrangements, including hybrid and remote options, ensuring a healthy work-life balance. With access to cutting-edge technology and the opportunity to contribute to meaningful advancements in healthcare, this is an exceptional place for passionate individuals looking to make a real impact in the field of functional genomics.
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Contact Detail:

Jobster Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Bioinformatics Data Engineer - Singular: Building Brilliant Biotechs in Oxford

✨Tip Number 1

Network like a pro! Reach out to people in the biotech and data engineering fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your passion for bioinformatics.

✨Tip Number 2

Prepare for those interviews! Research the company and its projects, especially their work with genomic data. Be ready to discuss how your skills in building scalable data pipelines can contribute to their mission of precision drug discovery.

✨Tip Number 3

Showcase your projects! If you've worked on any relevant data engineering or bioinformatics projects, make sure to highlight them in your conversations. Use real examples to demonstrate your expertise with tools like Dagster and Nextflow.

✨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 innovative team at the forefront of functional genomics.

We think you need these skills to ace Senior Bioinformatics Data Engineer - Singular: Building Brilliant Biotechs in Oxford

Data Engineering
Genomic Data Processing
Bioinformatics
Cloud Infrastructure Management
DevOps
DataOps
Data Modelling
Relational Databases
Non-relational Databases
PostgreSQL
Elasticsearch
Nextflow
Dagster
Scalability
Collaboration

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Bioinformatics Data Engineer role. Highlight your experience with large-scale genomic data and any relevant projects you've worked on. We want to see how your skills align with our mission!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for bioinformatics and how you can contribute to our cutting-edge biotech. Be sure to mention specific technologies like Dagster and Nextflow that you’ve worked with.

Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention your experience with cloud-based infrastructure, data modelling, and any DevOps/DataOps practices you’ve implemented. We love seeing those details!

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Good luck!

How to prepare for a job interview at Jobster

✨Know Your Data Inside Out

Make sure you’re well-versed in the types of genomic data you'll be working with. Brush up on your knowledge of data processing pipelines, especially using tools like Nextflow and Dagster. Being able to discuss specific examples from your past experience will show that you’re not just familiar with the concepts but have practical expertise.

✨Showcase Your Collaboration Skills

This role involves working closely with bioinformaticians and software engineers, so be prepared to discuss how you've successfully collaborated in cross-disciplinary teams before. Share specific instances where your teamwork led to successful project outcomes, highlighting your communication skills and adaptability.

✨Demonstrate Problem-Solving Abilities

Be ready to tackle hypothetical scenarios or case studies during the interview. Think about challenges you’ve faced in previous roles related to data infrastructure or pipeline optimisation, and explain how you approached and resolved them. This will showcase your analytical thinking and technical prowess.

✨Familiarise Yourself with the Company’s Mission

Research the biotech's focus on unlocking the non-coding genome and their approach to precision drug discovery. Understanding their goals and how your role contributes to these objectives will help you articulate why you’re a great fit for the team. It shows genuine interest and alignment with their mission.

Senior Bioinformatics Data Engineer - Singular: Building Brilliant Biotechs in Oxford
Jobster
Location: Oxford
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  • Senior Bioinformatics Data Engineer - Singular: Building Brilliant Biotechs in Oxford

    Oxford
    Full-Time
    48000 - 72000 £ / year (est.)
  • J

    Jobster

    50-100
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