At a Glance
- Tasks: Shape genomics-driven discovery using machine learning and multi-omics data.
- Company: Relation Therapeutics, a leader in computational genomics.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with diverse teams and exciting projects.
- Why this job: Make a real impact in drug discovery with cutting-edge technology.
- Qualifications: Experience in data science, machine learning, and genomics.
The predicted salary is between 63000 - 77000 £ per year.
Relation Therapeutics is seeking a Data Scientist to bridge computational genomics and machine learning at scale in London.
You will shape genomics-driven discovery, integrating multi-omics data to prioritise targets and inform drug discovery decisions.
You will work across biology, computation and engineering in a matrixed environment, building scalable workflows and collaborating with experimental and ML researchers to translate insights into impact.
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Computational Genomics ML Scientist: Target Discovery in London employer: Relation Therapeutics
Relation Therapeutics is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. With a strong emphasis on inclusivity and impactful results, employees are encouraged to grow through continuous learning and development opportunities. Located in a vibrant area, the company fosters a culture that values teamwork and communication, making it an ideal place for those passionate about advancing drug discovery.
StudySmarter Expert Advice🤫
We think this is how you could land Computational Genomics ML Scientist: Target Discovery in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Computational Genomics ML Scientist: Target Discovery in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Relation Therapeutics, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Relation Therapeutics. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Relation Therapeutics
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
