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- Tasks: Join a team to develop innovative data analysis pipelines and solve real-world problems.
- Company: A fast-growing spin-out from the University of Cambridge, specializing in cutting-edge data science.
- Benefits: Enjoy flexible working with a hybrid model and the option for full-time office work.
- Why this job: Make an impact on environmental sustainability and drug discovery while working with advanced technology.
- Qualifications: PhD in a relevant field, experience in Bayesian data science, and strong Python coding skills required.
- Other info: Ideal for those passionate about applying data science to meaningful challenges.
The predicted salary is between 43200 - 72000 £ per year.
A Data Scientist, who must have a PhD qualification in a relevant field, with 1-2 years’ of industry experience (desirable) is needed to join the team at this fast-growing Data Science company. This is a permanent position. They are a spin out company from the University of Cambridge Astrophysics group, applying cutting-edge data science and mathematics to solve a diverse range of problems. The company is looking for a candidate who has experience of Bayesian data science and has advanced coding skills in Python, and ideally has some experience of Fortran. The main focus of this role will be to advance their work in applying the core PolyChord technology to sample the free-energy surface of small molecules, in order to discover alternative small-molecules combinations that will reduce the environmental footprint of industrial processes including mining. They are also pursuing applications of this method to small-molecule drug discovery. The company offers flexible working, and operates a hybrid arrangement with 1-2 days per week spent at their central office in Herne Hill, South London. London-based data scientists are welcome to work full time from the office if desired. Key Responsibilities: Work effectively with clients, collaborators, and the rest of the technical team to deliver new and innovative data analysis pipelines across a range of projects. Understand and ap…
Data Scientist employer: Jobheron
Contact Detail:
Jobheron Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Make sure to showcase your experience with Bayesian data science in your conversations. This is a key requirement for the role, and demonstrating your understanding of this area can set you apart from other candidates.
✨Tip Number 2
Familiarize yourself with PolyChord technology and its applications. Being able to discuss how you would apply this technology to real-world problems will show your enthusiasm and readiness for the role.
✨Tip Number 3
If you have any experience with Fortran, be sure to mention it during your discussions. Even if it's not extensive, showing that you're willing to learn and adapt can be a big plus.
✨Tip Number 4
Highlight your collaborative skills. Since the role involves working with clients and technical teams, sharing examples of successful teamwork can demonstrate that you’re a good fit for their culture.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Highlight Your Qualifications: Make sure to clearly state your PhD qualification in a relevant field at the beginning of your application. Emphasize any specific research or projects that relate to Bayesian data science.
Showcase Your Experience: If you have 1-2 years of industry experience, detail this in your CV. Include specific examples of projects where you applied advanced coding skills in Python and any experience with Fortran.
Tailor Your Cover Letter: In your cover letter, express your enthusiasm for the company's mission to reduce environmental footprints through innovative data science. Mention how your skills align with their focus on small-molecule drug discovery.
Prepare for Technical Questions: Be ready to discuss your technical skills and experiences in detail during the interview process. Prepare examples of how you've used PolyChord technology or similar methods in your previous work.
How to prepare for a job interview at Jobheron
✨Showcase Your PhD Research
Be prepared to discuss your PhD research in detail, especially how it relates to Bayesian data science. Highlight any specific projects or findings that demonstrate your expertise and problem-solving skills.
✨Demonstrate Coding Proficiency
Since advanced coding skills in Python are essential, be ready to showcase your coding abilities. You might be asked to solve a problem on the spot, so practice common data science algorithms and techniques beforehand.
✨Familiarize Yourself with PolyChord Technology
Research PolyChord and its applications in sampling free-energy surfaces. Understanding this technology will show your genuine interest in the role and help you discuss how you can contribute to their projects.
✨Prepare for Collaborative Scenarios
The company values teamwork, so think of examples from your past experiences where you successfully collaborated with others. Be ready to discuss how you handle feedback and work within a team to achieve common goals.
