At a Glance
- Tasks: Design and maintain Python-based analytical pipelines for impactful scientific research.
- Company: Tech-driven life sciences organisation focused on biology, automation, and data.
- Benefits: Competitive daily rate, fully remote work, and potential contract extension.
- Other info: Join a dynamic team dedicated to solving complex research challenges.
- Why this job: Make a real difference in scientific discovery through innovative data analysis.
- Qualifications: Experience in Python, statistical modelling, and collaboration with scientists.
Fully remote but can be hybrid upon request.
6 Month Contract likely to extend
Outside IR35
£450 to £500 per day
This is a chance to work on scientifically meaningful software that directly supports real-world discovery. You will take ownership of analytical pipelines that sit at the heart of a data-driven research platform, collaborating closely with scientists to turn complex experimental data into reliable, scalable insights.
The Company
They are a technology-led life sciences organisation operating at the intersection of biology, automation, and data. The business builds platforms that generate high-quality experimental data at scale and uses advanced analytics to accelerate scientific discovery. With a strong emphasis on rigour, reproducibility, and collaboration, they bring together engineers and scientists to solve complex research challenges.
The Role and Deliverables
- Design, build, and maintain Python-based analytical pipelines for a range of experimental and bioassay data.
- Implement robust statistical and modelling workflows, including quality control, normalisation, and curve fitting.
- Translate scientific workflows into reproducible, automated analysis processes.
- Partner closely with laboratory-based scientists to understand experimental design and data requirements.
Senior Scientific Data Scientist / Pipeline Engineer employer: Harnham - Data & Analytics Recruitment
As a technology-led life sciences organisation, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to make a real impact in scientific discovery. With flexible working arrangements and a strong focus on professional development, we offer our team members the opportunity to grow their skills while contributing to meaningful projects that advance research in biology and data analytics. Join us to be part of a dynamic environment where your expertise will directly influence the future of life sciences.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Scientific Data Scientist / Pipeline Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the life sciences and data science fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Research the company and their projects, especially how they use data in scientific discovery. Be ready to discuss how your skills in Python and analytical pipelines can contribute to their goals.
✨Tip Number 3
Showcase your work! If you have any projects or contributions to open-source software, make sure to highlight them. This is your chance to demonstrate your ability to turn complex data into actionable insights.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Scientific Data Scientist / Pipeline Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Scientific Data Scientist / Pipeline Engineer. Highlight your experience with Python-based analytical pipelines and any relevant projects that showcase your skills in data analysis and collaboration with scientists.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the intersection of biology, automation, and data. Share specific examples of how you've tackled complex research challenges in the past and how you can contribute to our mission.
Showcase Your Technical Skills:Don’t forget to highlight your technical skills in your application. Mention your experience with statistical modelling workflows, quality control, and any tools or technologies you’ve used that are relevant to the role. We love seeing candidates who are technically savvy!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy to do!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Pipelines
Make sure you’re well-versed in Python and the specific analytical pipelines relevant to the role. Brush up on your experience with statistical modelling and quality control processes, as these will likely come up during the interview.
✨Showcase Collaboration Skills
Since the role involves working closely with scientists, be prepared to discuss past experiences where you collaborated effectively. Highlight how you translated complex data into actionable insights and how you communicated technical concepts to non-technical team members.
✨Prepare for Technical Questions
Expect some technical questions that test your understanding of bioassay data and reproducible analysis processes. Practise explaining your thought process when designing and maintaining analytical workflows, as this will demonstrate your problem-solving skills.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions about the company’s projects or their approach to scientific discovery. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
