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- Tasks: Join a dynamic team to build ML models for biomedical data analysis using Python.
- Company: Work with a leading biotech firm in Cambridge, innovating in healthcare technology.
- Benefits: Enjoy hybrid work options and competitive day rates between £400-£550.
- Why this job: Make a real impact in healthcare while collaborating with experts in a fast-paced environment.
- Qualifications: 3+ years in data science, strong Python skills, and experience with ML libraries required.
- Other info: Immediate visibility across R&D teams; apply now for a chance to shape the future of biotech!
The predicted salary is between 32000 - 44000 £ per year.
Job Description
AI Data Scientist – Python Specialist (Contract) Location: Cambridge (Hybrid – 1 day/week onsite) Duration: 6 monthsDay Rate: £400–£550/day (Outside IR35)Start Date: End of AugustA leading Cambridge-based biotech company is urgently seeking an AI Data Scientist with strong Python skills to support the development of machine learning models for biomedical data analysis. You’ll be joining a small, agile team working on projects ranging from genomic data interpretation to clinical trial optimization. Key Responsibilities:
- Build and deploy ML models using Python, scikit-learn, and PyTorch
- Work with structured and unstructured biomedical datasets (e.g. genomic sequences, patient records, imaging)
- Collaborate with bioinformaticians and clinical researchers to translate data into actionable insights
- Contribute to the development of internal tools for data preprocessing, feature engineering, and model evaluation
Requirements:
- 3+ years of experience in data science or ML, ideally in biotech or healthcare
- Strong Python programming skills and experience with ML libraries
- Familiarity with Jupyter, Pandas, NumPy, and MLFlow
- Experience working with clinical or biological datasets is a big plus
- Comfortable working in a fast-paced, research-driven environment
Bonus Skills:
- Knowledge of genomics, bioinformatics, or clinical trials
- Experience with Docker, Kubernetes, or cloud ML pipelines (AWS/GCP)
This is a high-impact role with immediate visibility across R&D and data teams. Interviews are being scheduled soon – apply now or refer someone in your network!
AI Data Scientist Contract employer: Opus Recruitment Solutions Ltd
Contact Detail:
Opus Recruitment Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Scientist Contract
✨Tip Number 1
Make sure to brush up on your Python skills, especially with libraries like scikit-learn and PyTorch. Being able to demonstrate your proficiency in these tools during discussions can set you apart from other candidates.
✨Tip Number 2
Familiarise yourself with the types of biomedical datasets mentioned in the job description. Understanding genomic data interpretation and clinical trial optimisation will help you speak confidently about how you can contribute to the team.
✨Tip Number 3
Network with professionals in the biotech field, especially those who work with AI and data science. Engaging with bioinformaticians or clinical researchers can provide insights into the role and may even lead to referrals.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges related to machine learning and data analysis. Being able to solve problems on the spot will showcase your skills and readiness for the fast-paced environment.
We think you need these skills to ace AI Data Scientist Contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and machine learning, particularly with Python. Include specific projects or roles where you've worked with biomedical datasets or relevant technologies like scikit-learn and PyTorch.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with their needs, especially your experience with clinical or biological datasets and any familiarity with genomics or bioinformatics.
Showcase Relevant Projects: If you have worked on projects involving machine learning models or data analysis in a biotech context, be sure to describe these in your application. Highlight your contributions and the impact of your work.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Opus Recruitment Solutions Ltd
✨Showcase Your Python Skills
Since the role requires strong Python programming skills, be prepared to discuss your experience with Python in detail. Bring examples of projects where you've used Python, especially in machine learning or data analysis.
✨Familiarise Yourself with Relevant Libraries
Make sure you are well-versed in libraries like scikit-learn, PyTorch, Pandas, and NumPy. Be ready to explain how you've used these tools in past projects, particularly in relation to biomedical datasets.
✨Understand the Biotech Context
Research the biotech industry and understand the specific challenges it faces, especially in data science. Being able to discuss how your skills can address these challenges will set you apart from other candidates.
✨Prepare for Collaborative Scenarios
As the role involves working closely with bioinformaticians and clinical researchers, think of examples that demonstrate your ability to collaborate effectively. Highlight any past experiences where teamwork led to successful outcomes.
