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- Tasks: Build and optimise bioinformatics pipelines for processing diverse biological data.
- Company: Join a friendly, innovative team at Owkin, a leader in bioinformatics.
- Benefits: Enjoy flexible work, a supportive environment, and international collaboration.
- Why this job: Make a real impact in genomics and clinical insights with cutting-edge technology.
- Qualifications: Relevant education in bioinformatics or related fields, with Python proficiency.
- Other info: Work in a dynamic setting with opportunities for growth and learning.
The predicted salary is between 40000 - 55000 £ per year.
We are seeking a detail-oriented and curious Bioinformatics Pipeline Developer to join our team. In this role, you will be at the intersection of biology and big data, helping to build and maintain the "highways" that process genomic, transcriptomic, clinical and other types of biological data. You won’t just be running scripts; you’ll be optimizing how we integrate diverse biological layers - from DNA sequencing to single-cell RNA‑seq - to uncover clinical insights.
Responsibilities
- Build, test, benchmark, maintain and update automated workflows (AirFlow or Snakemake) for processing sequencing (WES/WGS, bulk and single-cell RNAseq, spatial transcriptomics) and other clinical, imaging and molecular data types.
- Implement strategies to ensure data quality, consistency and interoperability.
- Calculate, implement, benchmark and integrate biological information and scores based on biomedical scientist’s input.
- Maintain clear, version-controlled codebases (GitHub) and technical documentation.
Required Skills & Qualifications
- A relevant education in bioinformatics, computational biology, computer science, or a related field (Bachelor, Master or PhD), with proven experience gained in industry or academia.
- Proficiency in Python.
- Experience of developing bioinformatic pipelines.
- Experience working in cloud environments.
- Familiarity with orchestration tools and frameworks.
- Experience with NGS tools such as variant calling and RNAseq analysis.
- Basic understanding of biological processes such as NGS library preparation (e.g., Illumina, RNA‑seq) and the biological differences between tissue types (e.g., enterocytes vs. colonocytes).
- Comfortable using Git for collaborative development.
Nice‑to‑Haves
- Proficiency in R.
- Experience with Docker or Singularity containers.
- Familiarity with single-cell/spatial transcriptomic analysis (Scanpy).
- Knowledge of oncology‑specific databases (TCGA, gnomAD, COSMIC).
Benefits
- Flexible work organization.
- Friendly and informal working environment.
- Opportunity to work with an international team with high technical and scientific backgrounds.
Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability.
Bioinformatics Pipeline Developer in London employer: Owkin
Contact Detail:
Owkin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bioinformatics Pipeline Developer in London
✨Tip Number 1
Network like a pro! Reach out to people in the bioinformatics field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your bioinformatics projects. This is a great way to demonstrate your coding chops and pipeline development experience to potential employers.
✨Tip Number 3
Tailor your approach! When you find a job that excites you, make sure to highlight relevant experiences in your conversations. We want to see how your background fits perfectly with the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about joining our team.
We think you need these skills to ace Bioinformatics Pipeline Developer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in bioinformatics and pipeline development. We want to see how your skills align with the role, so don’t be shy about showcasing your Python proficiency and any cloud experience you've got!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your background makes you a perfect fit. We love curiosity, so share what drives your passion for bioinformatics and big data.
Showcase Your Projects: If you've worked on any bioinformatics projects or developed pipelines, make sure to mention them! We’re keen to see examples of your work, especially if they involve tools like AirFlow or Snakemake. Don’t forget to include links to your GitHub if applicable!
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 serious about joining our team!
How to prepare for a job interview at Owkin
✨Know Your Tech Stack
Make sure you’re well-versed in the tools and technologies mentioned in the job description, like Python, AirFlow, and Git. Brush up on your experience with bioinformatics pipelines and be ready to discuss specific projects where you’ve used these skills.
✨Show Your Curiosity
As a Bioinformatics Pipeline Developer, curiosity is key! Prepare to ask insightful questions about the company’s current projects and challenges. This shows that you’re not just interested in the role, but also in how you can contribute to their goals.
✨Demonstrate Problem-Solving Skills
Be ready to tackle hypothetical scenarios or past challenges you’ve faced in bioinformatics. Think about how you optimised workflows or ensured data quality in previous roles, and share those experiences to highlight your problem-solving abilities.
✨Understand the Biological Context
Familiarise yourself with the biological processes relevant to the role, such as NGS library preparation and the differences between tissue types. Being able to discuss these concepts will show that you can bridge the gap between biology and data science effectively.