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, competitive salary, and professional growth opportunities.
- Other info: Dynamic environment with opportunities to collaborate across disciplines and enhance your career.
- Why this job: Make a real impact in biomedical research while working with innovative technologies.
- 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 employer: King’s College London
As a Senior Bioinformatician, you will thrive in a dynamic and inclusive environment that champions collaboration and innovation. Our commitment to employee growth is reflected in our supportive work culture, where you will have access to cutting-edge resources and opportunities for professional development. Located on campus, this role offers the unique advantage of working closely with a multidisciplinary team dedicated to delivering high-quality research services, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Bioinformatician
✨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-omic 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 statistical methods and machine-learning tools. We recommend practising common interview questions related to bioinformatics and being ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Senior Bioinformatician
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 personal – we love to see your personality come through!
Showcase Your Communication Skills:Since this role involves presenting complex concepts, make sure to highlight your communication skills in your application. Whether it's through your writing or examples of past presentations, we want to know how you can convey intricate ideas clearly.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It’s the best way to ensure your application gets into the right hands and helps us get to know you better!
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-omic data and the specific analysis pipelines relevant to the role. Be ready to discuss your experience with statistical methods and machine-learning tools, especially in relation to Python programming.
✨Showcase Collaboration Skills
Since this role involves working closely with a multidisciplinary team, prepare examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve bridged the gap between biological data and software engineering.
✨Prepare for Technical Questions
Expect some technical questions about high-performance computing environments and quality assurance standards. Brush up on your knowledge of these areas and be ready to explain how you've applied them in your previous roles.
✨Communicate Clearly
Practice explaining complex analytical concepts in simple terms. You might need to present your ideas to a range of audiences, so being able to communicate effectively is key. Think of ways to simplify your explanations without losing the essence of your work.
