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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 bioinformatics strategy.
- Qualifications: PhD in Bioinformatics or related field with strong experience in data analysis and visualisation.
- 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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend relevant events, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, analyses, and any cool visualisations you've done. This is your chance to demonstrate your expertise in bioinformatics and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on common bioinformatics questions and case studies. We recommend practising your explanations of complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical audiences.
✨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 about their job search!
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 convey technical information clearly. Use examples in your application that show how you've done this in the past.
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. We can’t wait to hear from you!
How to prepare for a job interview at CozensWain
✨Know Your Proteomics Inside Out
Make sure you brush up on your knowledge of proteomics and the specific techniques mentioned in the job description, like LC-MS platforms. Be ready to discuss how you've applied statistical methods and machine learning in your previous work, as this will show your technical expertise.
✨Showcase Your Communication Skills
Since you'll need to present complex findings to both technical and non-technical audiences, practice explaining your past projects in simple terms. Use examples that highlight your ability to communicate effectively across different teams, which is crucial for collaboration in a startup environment.
✨Demonstrate Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in bioinformatics and how you overcame them. Think about times when you had to be creative with data analysis or workflow automation using Python or R, as this will illustrate your ability to thrive in a fast-paced setting.
✨Align with Their Vision
Research the company’s mission and recent developments in precision medicine and biomarker discovery. Be ready to express why you're passionate about improving human health through data-driven science, and how you see yourself contributing to their goals as they grow.