At a Glance
- Tasks: Lead the development of data science pipelines and methodologies in a dynamic start-up environment.
- Company: Exciting life science stealth 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 life sciences and make a real impact.
- Qualifications: Master's or PhD in a relevant field with strong data analysis experience.
The predicted salary is between 60000 - 80000 £ 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
- 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.
Lead Data Scientist for 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 a Lead Data Scientist to shape innovative data science pipelines and methodologies. Our dynamic work culture fosters collaboration and creativity, providing ample opportunities for professional growth and development in a cutting-edge environment. With competitive compensation and the flexibility of hybrid working arrangements, we are committed to supporting our employees in making meaningful contributions to scientific advancements.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist for Platform Development. Job in Cambridge LilyLifestyle Jobs
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data science projects. This is your chance to demonstrate your Python prowess and algorithm development skills in a way that stands out.
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. You’ll need to explain complex data concepts to non-technical folks, so practice breaking down your work into simple terms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Lead Data Scientist for Platform Development. Job in Cambridge LilyLifestyle Jobs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data analysis, especially in a scientific context. We want to see how your skills align with the role, so don’t be shy about showcasing your Python programming and any relevant projects you've worked on.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background makes you a perfect fit. We love seeing enthusiasm for data science and life sciences, so let that passion come through!
Showcase Your Communication Skills:Since you'll be working with non-technical stakeholders, it's crucial to demonstrate your ability to communicate complex ideas simply. In your application, include examples of how you've successfully explained technical concepts to non-experts 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’re considered for the role. Plus, it gives you a chance to explore more about our company and culture!
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 talk about your coding experience. Bring examples of maintainable code you've written, and be ready to discuss how you ensure quality through testing. If you have any cool projects or libraries you've used, share those too!
✨Communicate Like a Pro
This role requires excellent communication skills, so practice explaining complex data concepts in simple terms. Think about how you would explain your work to non-technical stakeholders and be prepared to demonstrate your ability to bridge the gap between data science and business goals.
✨Be Ready for Flexibility
Start-ups are all about adaptability, so be prepared to discuss how you've handled dynamic project environments in the past. Share examples of how you've successfully navigated changing roles or responsibilities, and show that you're excited about the fluid nature of the work.
