At a Glance
- Tasks: Lead the development of analysis pipelines for cutting-edge multi-omic data.
- Company: Join a collaborative and inclusive research team at the forefront of bioinformatics.
- Benefits: Full-time role with an indefinite contract, onsite work, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on quality assurance and data integrity.
- Why this job: Make a real impact in the field of bioinformatics and contribute to groundbreaking research.
- Qualifications: PhD or equivalent experience in omics analysis and strong programming skills, especially in Python.
The predicted salary is between 50000 - 70000 € per year.
The Senior Bioinformatician is part of a highly collaborative and inclusive team. The role leads on developing and optimising analysis pipelines and integration for multi‑omic data generated from bulk and spatial transcriptomics and proteomics, as well as spatial metabolomic, lipidomic, peptide/protein and metallomic mass spectrometry.
The role requires a strong background in statistical methods and machine‑learning tools with experience of programming (such as Python) being desirable. Reporting to the Smart Trials Hub Manager, you will work closely with a multidisciplinary team to deliver a high‑quality research service to both academic and commercial customers. This is an onsite, facility‑based role and the post holder is expected to be on campus for the full working week. It is a full‑time post (35 hours per week) with an indefinite contract.
About you
To be successful in this role, we are looking for candidates to have the following skills and experience:
- Essential criteria
- PhD in relevant subject area, or equivalent experience gained in a research setting
- Significant post‑doctoral experience or equivalent industry experience (typically three years or more) in omics analysis, including spatial omics
- Strong programming skills, with experience using Python or relevant programming language for data analysis
- Expertise in multi‑omics data integration and statistical modelling, applied to complex biological datasets
- Experience working with high‑performance computing (HPC) environments
- Experience of working to quality assurance and quality control standards within a laboratory or research environment, ensuring data integrity and reproducibility across workflows
- Excellent written and verbal communication skills with the ability to present complex analytical concepts clearly to a range of audiences
- Experience working collaboratively in multidisciplinary teams and at the interface between biological data, biologists and data scientists/software engineers
- Desirable criteria
- Practical experience using machine‑learning tools and frameworks for biological or biomedical data analysis
- Experience working with human tissue and clinical data, including an understanding of relevant governance or data protection considerations
- Experience developing computational tools or workflows to support data management, analysis and reproducibility
- Experience of delivering technical training or hands‑on support to researchers or colleagues
Equal Opportunity
We are committed to providing equal opportunities and are an equal opportunity employer.
Senior Bioinformatician in London employer: King’s College London
As a Senior Bioinformatician, you will join a dynamic and inclusive team dedicated to advancing research through innovative analysis of multi-omic data. Our company fosters a collaborative work culture that prioritises employee growth, offering opportunities for professional development and hands-on training in a state-of-the-art facility. Located on campus, this role provides a unique chance to engage directly with multidisciplinary teams, ensuring your contributions have a meaningful impact on both academic and commercial projects.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Bioinformatician in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the bioinformatics field, attend relevant meetups or conferences, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving multi-omics data analysis or programming in Python. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with both biologists and data scientists. We want you to shine!
✨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, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Senior Bioinformatician in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience in omics analysis and programming skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your PhD and any post-doctoral work you've done!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about bioinformatics and how your skills can contribute to our multidisciplinary team. Keep it engaging and relevant to the job description.
Showcase Your Communication Skills:Since this role involves presenting complex concepts, make sure your application reflects your ability to communicate clearly. Whether it's through your CV or cover letter, we want to see that you can convey technical information effectively.
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’s super easy to do!
How to prepare for a job interview at King’s College London
✨Know Your Stuff
Make sure you brush up on your knowledge of multi-omics data and the specific techniques mentioned in the job description. Be ready to discuss your experience with spatial transcriptomics, proteomics, and any relevant programming languages like Python. This will show that you’re not just familiar with the concepts but can also apply them.
✨Showcase Your Collaboration Skills
Since this role involves working closely with a multidisciplinary team, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve worked at the interface between biological data and software engineering, as this will demonstrate your ability to communicate complex ideas effectively.
✨Prepare for Technical Questions
Expect some technical questions related to statistical methods and machine-learning tools. Brush up on your knowledge of these areas and think about how you can apply them to real-world scenarios. Practising coding problems in Python could also give you an edge during the interview.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, ongoing projects, or how they ensure data integrity and reproducibility. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
