At a Glance
- Tasks: Lead the development of data science pipelines and methodologies in a dynamic start-up environment.
- Company: Exciting life science start-up in Cambridge with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a collaborative team and enjoy a vibrant work culture.
- Why this job: Shape the future of data science in biotech and make a real impact.
- Qualifications: Master's or PhD in a relevant field and strong data analysis experience.
The predicted salary is between 50000 - 60000 £ per year.
Take a lead role in shaping data science pipelines, platforms and methodologies.
This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated.
Examples of project work will include:
- Algorithm development for time series events
- Maintaining data analysis pipelines
- Implementing best-in-practice data analysis techniques
Requirements:
- Master's or ideally PhD in mathematics, science or similar
- Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences)
- Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning
- Ability to make sense of data within project context and company goals, so that insight can aid further research and projects
- Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools
- Awareness to write appropriate tests
- Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders
- Any exposure to training ML models (neural networks) would be desirable
This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions.
Data Scientist (Platform Development). Job in Cambridge LilyLifestyle Jobs employer: United Cerebral Palsy of Georgia
As a pioneering life science start-up in Cambridge, we offer an exciting opportunity for Data Scientists to lead the development of innovative data platforms and methodologies. Our dynamic work culture fosters creativity and collaboration, providing employees with the chance to grow their skills in a fast-paced environment while contributing to groundbreaking research. With competitive compensation and flexible hybrid working options, we are committed to supporting our team members' professional development and well-being.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Platform Development). Job in Cambridge LilyLifestyle Jobs
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to algorithm development and data analysis pipelines. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data science concepts in simple terms, as you'll need to engage with non-technical stakeholders in this role.
✨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 Data Scientist (Platform Development). Job in Cambridge LilyLifestyle Jobs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience in data analysis, especially in a scientific context, and showcase any relevant projects that demonstrate your skills in Python and machine learning.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our goals at StudySmarter. Don’t forget to mention your ability to communicate complex ideas to non-technical stakeholders.
Showcase Your Projects:If you've worked on any interesting projects, especially those involving algorithm development or data pipelines, make sure to include them. We love seeing practical applications of your skills, so don’t hold back!
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’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨Know Your Data Science Stuff
Make sure you brush up on your data science methodologies, especially those relevant to the life sciences. Be ready to discuss your experience with algorithm development and data analysis pipelines, as well as any projects you've worked on that involved signal processing or machine learning.
✨Show Off Your Python Skills
Since strong Python programming skills are a must, prepare to demonstrate your coding abilities. Bring examples of maintainable code you've written, and be ready to talk about how you ensure quality through testing and using relevant libraries.
✨Communicate Like a Pro
You’ll need to explain complex concepts to non-technical stakeholders, so practice simplifying your explanations. Think of ways to convey your insights clearly and concisely, and be prepared to answer questions from those who may not have a scientific background.
✨Be Ready for Flexibility
Start-ups are dynamic, so show that you can adapt to changing roles and projects. Prepare examples of how you've successfully navigated fluid work environments in the past, and express your enthusiasm for taking on diverse challenges in this new role.
