Computational Biology Data Scientist

2 days ago

Liverpool, Liverpool, United Kingdom Computational Biology Facility (CBF), University of Liverpool Full time

Are you eager to make a meaningful impact on paediatric patient lives while honing your data science expertise? Join our vibrant, cross-disciplinary team as a Computational Biology Data Scientist, driving cutting-edge research within the Experimental Arthritis Treatment Centre for Children within Alder Hey Children's Hospital. You'll collaborate with clinicians, experimental scientists, and fellow data experts to uncover novel insights into paediatric auto-immune disease by providing expertise analysing data from omics technologies and integrating it with to clinical data.

You should hold a PhD in bioinformatics, systems biology or related subject or have equivalent work experience. You should have significant experience in the application of statistics and bioinformatics techniques to answer biological questions particularly from omics data. At the CBF, our supportive environment encourages professional growth, fosters knowledge-sharing, and values creative ideas. In this post, you will have a unique role to design analyses, you will expand your data scientist toolbox and gain hands-on experience integrating and interpreting omics data, shaping powerful analytical pipelines, and publishing high-impact results. If you're excited by the opportunity to apply your coding and analytical skills to real-world clinical research, we we'd love to hear from you

The role is available for 2-years in the first instance (further funding partially secured so an extension is a real possibility) and offers hybrid working. The application deadline for this post is the 2nd of December.

We can only accept applications through the University of Liverpool portal: While we encourage inquiries ahead of a submission, we cannot accept any applications outside the University system.

Our team is very friendly and we are known for championing a good work/life balance, development and for our family friendly policies. We really encourage applications from those from underrepresented groups in data (such as women).

Please note we will have two further posts coming up soon to expand our team so if you want to work with us do not hesitate to get in touch.

Good to know:

Our recruitment processes usually have two stages - applicants CV/Cover letters will be used to shortlist candidates to complete a short task. Tasks will be scored and top submissions invited for interview. Referees will be contacted only on later recruitment stages.

Some tips:

Match your experience and skills to the person specification (the essential and desirable criteria listed on the University portal- ). This is what we'll be marking your application against.

Include relevant examples but keep it concise We need to see the evidence/examples not only the right statements. Do not rely too much on genAI - we want to hear about you in a way that sounds genuine with real life examples.

Make it specific. We know that applicants reuse examples in applications to multiple roles (makes sense). But make sure to edit properly to avoid clunky and obvious copy and pasting.

Don't be tempted to add in too much info we haven't asked for. Bear in mind that for some roles we'll have hundreds of applications to sift. Use our attention wisely and help us see how you meet the person spec as concisely as possible.

Ask a trusted colleague or friend to read over your CV and supporting statement and give feedback.

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