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- Tasks: Analyse and interpret complex proteomics datasets to drive innovative biotech solutions.
- Company: Exciting Series A BioTech startup focused on precision medicine and breakthrough technologies.
- Benefits: Competitive salary, equity options, remote flexibility, and rapid career growth.
- Why this job: Make a real impact in drug development and personalised therapies while shaping the future of biotech.
- Qualifications: PhD in Bioinformatics or related field with strong experience in data analysis.
- Other info: Join a collaborative culture with global partners and minimal bureaucracy.
The predicted salary is between 60000 - 80000 £ per year.
About the Job
We are partnered with a pioneering BioTech, their mission is to discover and develop novel classes of therapeutics using the latest in artificial intelligence, deep learning, and multiomics technologies. They follow a unique strategy, based on the concept that transcription factors, the master controllers of gene expression, act as detailed and dynamic maps of disease and novel opportunities to treat it.
Job summary
This individual will be core contributor to the continued development and implementation of our BioTech platform, working alongside leading experimentalists, AI experts, and industry leaders to drive forward our compelling mission.
We are seeking highly motivated individuals with a strong interest in discovering new therapeutics for neurodegeneration and diseases of ageing. You will have excellent practical and organisational skills and be able to thrive in an innovative environment. We are a highly multi-disciplinary team: it is critical that you can communicate complex science and technical ideas to the whole team, as well as external stakeholders.
As a Bioinformatician you will develop novel tools for drug discovery across the companies entire pipeline, from target to patient. You will be responsible for sourcing, curating, and analysing large-scale ‘omics and multiomics data sets, including at single-cell resolution and under genetic/chemical perturbation. You will build computational pipelines to integrate such data into our foundational infrastructure and then use the data to identify new drivers of diseases and opportunities to turn them into new therapies for patients.
You will also contribute to development and implementation of novel AI to decode biology, working closely with our lab scientists and disease experts to generate novel biological hypotheses that will be validated in our lab, with the data and learnings fed back into our tech in a rapid learning loop.
Skills and expertise
We seek to hire individuals who bring value to our company and culture through their own skills and experience, but who are candid about what they can’t yet do and are keen to learn. This role will provide plenty of opportunities for technical and professional development. If you would like to discuss any specific details, please do get in touch.
Core
- PhD in computational biology, bioinformatics, or a related field, or equivalent experience actively contributing to a research-centric organisation
- Excellent communication skills, with a proven ability to explain (verbally, through graphics, and in writing) complex concepts to non-specialists, build relationships, and influence decision making
- Proven experience in building computational tools and performing analysis in R and/or Python, including bioinformatics pipelining with tools like Nextflow or Snakemake
- Experience working with key bioinformatics data modalities, databases, and analysis tools, including for transcriptomics, multi-omics, and/or single cell
- Experience in owning informatics-driven biological research projects, including setting and evaluating research questions through good scientific method
- Passion for applying technical skills in a dynamic startup environment, including the flexibility and willingness to adapt quickly and take on new tasks outside of your immediate remit
Additional
- Analysis of data relevant to neurodegeneration, and a working knowledge of neuroscience biology, including in the context of disease
- Experience in analysis of large-scale genetic or chemical perturbation datasets
- Knowledge of techniques for network biology modelling and broad understanding of core concepts of systems biology
- Experience in analysis using machine learning, including an understanding of fundamental concepts (regression, classification, clustering) and tools, including applied to biological data or to Computer Vision on cells
- Knowledge and experience of good software development practises (e.g., version control)
- Experience working in a Linux-based cloud computing environment (e.g., AWS)
- Experience of working with lab-based teams
Why Join?
- Culture: Step into a collaborative, fast-paced environment where your ideas help define the next wave of scientific progress
- Innovation: We blend real-world patient-derived iPSC models, high-content imaging, and AI-powered informatics, giving us the tools to push boundaries and make breakthroughs at speed
- Reward: we offer a competitive salary, a generous bonus scheme, access to private medical/dental insurance, and company pension
If this sounds like you, you\’ll fit right in.
To Note: We regularly share career opportunities, company news, and insights on our LinkedIn page — feel free to follow us and stay in the loop.
Bioinformatician employer: CozensWain
Contact Detail:
CozensWain Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bioinformatician
✨Network Like a Pro
Get out there and connect with people in the bioinformatics field! Attend industry events, webinars, or even local meetups. You never know who might have a lead on your dream job or can introduce you to someone at that Series A BioTech startup.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with proteomics data analysis and statistical modelling. Share specific examples of how you've used Python or R to solve complex problems — this will set you apart from the crowd!
✨Tailor Your Approach
Every company is different, so do your homework! Understand the specific challenges and goals of the biotech startup you're interested in. Tailor your conversations to show how your skills can directly contribute to their mission of transforming patient outcomes.
✨Apply Through Our Website
Don’t forget to check out our website for the latest job openings! Applying directly through us not only shows your interest but also gives you a better chance of being noticed by the hiring team. Let’s get you that bioinformatician role!
We think you need these skills to ace Bioinformatician
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Bioinformatician role. Highlight your experience with proteomics data analysis and any relevant projects you've worked on. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for precision medicine and how you can contribute to our team. Be sure to mention specific skills like statistical modelling and workflow automation that we’re looking for.
Showcase Your Communication Skills: Since you'll be communicating complex findings to various audiences, it’s important to demonstrate your ability to simplify technical jargon. Use clear language in your application to show us you can bridge the gap between science and non-technical stakeholders.
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 don’t miss out on any updates about the role. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at CozensWain
✨Know Your Stuff
Make sure you brush up on your knowledge of proteomics and the specific techniques mentioned in the job description, like LC-MS platforms and statistical methods. Being able to discuss these topics confidently will show that you're not just a candidate, but a potential asset to their team.
✨Showcase Your Projects
Prepare to talk about your previous work with complex datasets and any relevant projects you've completed. Bring examples of your analytical workflows or models you've built, especially if they relate to clinical outcomes. This will demonstrate your hands-on experience and problem-solving skills.
✨Communicate Clearly
Since you'll need to present findings to both technical and non-technical audiences, practice explaining your work in simple terms. Think about how you can break down complex concepts into digestible pieces, as this will highlight your communication skills and adaptability.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's current projects, their approach to data integration, or how they envision the role evolving. This shows your genuine interest in the position and helps you assess if the company culture aligns with your values.