Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform complex datasets into actionable insights using machine learning.
- Company: Join a mission-driven Agri-BioTech startup focused on sustainable agriculture.
- Benefits: Competitive salary, early equity options, and a chance to make a real impact.
- Why this job: Tackle food security and climate change while innovating in a high-growth environment.
- Qualifications: MSc or PhD in relevant fields and proficiency in Python and R.
- Other info: Be part of a creative team shaping the future of biotech.
The predicted salary is between 70000 - 95000 ÂŁ per year.
\\\â
Direct message the job poster from CozensWain
\\\âConnecting the Best A-Players â Top 1% in Life Sciences đ§Ź
Data Scientist | Series A BioTech Startup | ÂŁ21M+ Raised đ°
About the Company
Weâre partnered with a Series A BioTech startup thatâs raised over ÂŁ21 million to revolutionise how data and biology converge to accelerate breakthrough discoveries in life sciences.
Their mission is to harness machine learning, multi-omics data, and AI-driven modelling to unlock new biological insights â driving progress in therapeutics, bioengineering, and sustainable innovation.
Backed by worldâclass investors and led by a crossâdisciplinary founding team of biologists, data scientists, and engineers, this is a chance to join a company defining the next generation of biotech intelligence.
The Role
As a Data Scientist, youâll be central to developing and deploying advanced models that turn vast biological and experimental datasets into actionable insight.
Youâll work at the intersection of biology, data, and computation â building scalable pipelines, predictive tools, and models that directly guide research, discovery, and decisionâmaking.
Key Responsibilities
- Design, train, and optimise machine learning models across multi-omics and experimental datasets.
- Build predictive frameworks to accelerate discovery and identify high-value biological targets.
- Ensure model robustness and reproducibility through strong statistical design, data validation, and feature engineering.
Cross-Functional Collaboration
- Work closely with wetâlab scientists, bioinformaticians, and software engineers to bridge experimental and computational workflows.
- Translate biological questions into data-driven hypotheses and visualise outcomes clearly for all stakeholders.
- Drive strategic discussions through clear, evidence-based insights and recommendations.
Infrastructure & Tools
- Develop scalable, automated data pipelines in collaboration with engineering and informatics teams.
- Champion best practices in data management, version control, and model governance.
About YouEducation & Experience
- MSc or PhD in Data Science, Computational Biology, Machine Learning, Bioinformatics, or a related field.
- Strong programming skills in Python (NumPy, Pandas, TensorFlow, PyTorch) or R.
- Proven experience analysing biological, genomic, or high-dimensional experimental datasets.
- Familiarity with data visualisation tools (e.g. Plotly, Matplotlib, Tableau) and databases (SQL, PostgreSQL).
Mindset & Attributes
- Passionate about using data to solve complex biological problems.
- Excellent communicator who thrives in a collaborative, fastâmoving startup environment.
- Comfortable with ambiguity, ownership, and working across disciplines.
- Previous experience in biotech, life sciences, or AI-driven research is highly desirable.
Why Join?
đ± Mission-Driven Impact â Use your data science expertise to help shape the future of biology and biotechnology.
đ High Ownership â Collaborate directly with the founding and scientific leadership team on key R&D initiatives.
đĄ Innovation Culture â Operate at the forefront of AI and biology, where experimentation is encouraged and ideas move fast.
đ Career Growth â Join a rapidly scaling Series A company backed by tierâone investors, with clear pathways for progression.
If this sounds like you, you\âll fit right in.
\\\â #J-18808-Ljbffr
Data Scientist employer: CozensWain
Contact Detail:
CozensWain Recruiting Team
StudySmarter Expert Advice đ€«
We think this is how you could land Data Scientist
âšTip Number 1
Network like a pro! Reach out to people in the agri-biotech space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
âšTip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to biology or agriculture. This will give you an edge and demonstrate your passion.
âšTip Number 3
Prepare for interviews by brushing up on your machine learning concepts and how they apply to real-world problems in agriculture. Be ready to discuss your thought process and problem-solving approach.
âšTip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Data Scientist
Some tips for your application đ«Ą
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with machine learning, data analysis, and any relevant projects that showcase your skills in handling biological datasets.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about sustainable agriculture and how your background aligns with our mission. Be genuine and let your personality shine through!
Showcase Your Technical Skills: Donât forget to mention your proficiency in Python, R, and any data visualisation tools youâve used. We want to see how you can apply these skills to real-world problems in agri-biotech.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for this exciting opportunity!
How to prepare for a job interview at CozensWain
âšKnow Your Data Science Stuff
Make sure you brush up on your machine learning models and data analysis techniques. Be ready to discuss how you've applied Python, R, or any relevant tools in past projects. Theyâll want to see your problem-solving skills in action!
âšShow Your Passion for Sustainability
This startup is all about transforming agriculture for a sustainable future. Share your thoughts on how data science can impact food security and climate change. Showing genuine interest in their mission will definitely set you apart.
âšPrepare for Cross-Functional Questions
Since you'll be collaborating with biologists and engineers, think about how you can communicate complex data insights to non-technical folks. Prepare examples of how you've successfully worked in diverse teams before.
âšAsk Insightful Questions
At the end of the interview, donât just sit there quietly! Ask questions that show youâre thinking about the bigger picture, like their approach to data governance or how they envision scaling their data pipelines. It shows you're engaged and serious about the role.
