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- Tasks: Analyse and interpret molecular datasets to drive clinical insights and support innovative therapies.
- Company: Join BioLizard, a leading bioinformatics consultancy transforming biotech and pharma.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by unlocking insights that accelerate scientific innovation.
- Qualifications: PhD or Master’s in Bioinformatics with strong experience in clinical data analysis.
- Other info: Collaborative environment with a focus on cutting-edge research and career advancement.
The predicted salary is between 36000 - 60000 ÂŁ per year.
BioLizard is a leading bioinformatics consultancy partner for biotech and pharma organizations, helping to bridge biology, data, and AI. Our mission is to unlock insights that accelerate scientific innovation and clinical translation. As a BioLizard consultant, you’ll work on‑site in the UK or Belgium, embedded as part of the bioinformatics team of a key pharma client, supporting Translational and Clinical Development and contributing to development programmes that bring novel therapies to patients.
Role Description
You will drive the integration and interpretation of omics, translational and clinical data from patient studies to identify biomarkers, assess mechanisms of action, and inform clinical decision‑making.
Key Responsibilities
- Process, analyze, and interpret molecular datasets from clinical studies, including bulk and single‑cell transcriptomics, spatial transcriptomics, proteomics, and epigenomics.
- Develop robust, reproducible bioinformatics pipelines tailored to patient‑level data and regulatory standards.
- Apply methods for pathway and network analysis, functional enrichment, and causal reasoning to derive clinical insights.
- Integrate omics and clinical variables to identify biomarkers of response, safety, or stratification.
- Ensure traceability and compliance with data governance, privacy, and quality standards in the clinical context.
- Prepare analytical reports, visualizations, and presentations for multidisciplinary clinical and project teams as well as scientific publications.
- Contribute to internal documentation, study reports, and scientific publications.
Qualifications – Essential
- PhD or Master’s degree in Bioinformatics, Computational Biology, or related field, with 5–10 years of relevant experience in clinical or translational bioinformatics in a business context.
- Strong expertise in analysis of patient‑level omics data (bulk/single‑cell RNA‑seq, proteomics, epigenomics, spatial data).
- Understanding of clinical study design, data privacy, and regulatory‑compliant analysis.
- Proficiency in R and/or Python; experience with HPC, cloud, and containerization (e.g., Docker).
- Strong foundation in statistics, data mining, and visualization.
- Ability to work independently and deliver against deadlines, as well as to synergise within interdisciplinary teams, enabling and empowering them to deliver high‑quality scientific results.
- Excellent written and verbal communication skills and the ability to engage both scientific and clinical audiences.
- Excellent stakeholder management is essential.
Qualifications – Preferred
- Experience integrating omics with clinical and phenotypic data to inform biomarker hypotheses.
- Familiarity with FAIR data principles, reproducible research, and GxP environments.
- Understanding of disease biology (neurology, immunology, rare disease) for contextual interpretation.
- Track record of contributions to peer‑reviewed publications or clinical project reports.
Further Information
- Seniority level: Mid‑Senior level
- Employment type: Contract
- Job function: Research, Analyst, and Information Technology
Senior Bioinformatician - Translational & Clinical Development employer: BioLizard
Contact Detail:
BioLizard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Bioinformatician - Translational & Clinical Development
✨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
Prepare for interviews by brushing up on your technical skills and being ready to discuss your past projects. We recommend practising common bioinformatics interview questions and even doing mock interviews with friends or colleagues to build your confidence.
✨Tip Number 3
Showcase your work! Create a portfolio of your projects, especially those involving omics data analysis or clinical studies. This will give potential employers a tangible sense of your skills and experience, making you stand out from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application reflects your passion for bioinformatics and your ability to contribute to innovative projects.
We think you need these skills to ace Senior Bioinformatician - Translational & Clinical Development
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Bioinformatician role. Highlight your experience with omics data and any relevant projects you've worked on. We want to see how your skills align with our mission at BioLizard!
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 you can contribute to our team. Be sure to mention specific experiences that relate to the job description.
Showcase Your Technical Skills: Don’t forget to highlight your proficiency in R and Python, as well as any experience with HPC or cloud technologies. We’re looking for someone who can hit the ground running, so make those skills pop!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the BioLizard team!
How to prepare for a job interview at BioLizard
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of omics data you'll be working with, like RNA-seq and proteomics. Brush up on your experience with clinical study design and how to interpret these datasets, as this will likely come up during the interview.
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in R and Python, and any experience you have with HPC or cloud computing. It’s a good idea to have examples ready that demonstrate how you've developed bioinformatics pipelines or conducted analyses in previous roles.
✨Communicate Clearly and Confidently
Since you'll need to engage with both scientific and clinical audiences, practice explaining complex concepts in simple terms. This will show your ability to bridge the gap between data and clinical decision-making, which is crucial for the role.
✨Prepare Questions About the Company and Role
Research BioLizard and their projects to ask insightful questions during the interview. This shows your genuine interest in the company and helps you understand how you can contribute to their mission of accelerating scientific innovation.
