Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of innovative statistical models for drug discovery and genomic data.
- Company: Cutting-edge data science firm transforming life sciences with innovation.
- Benefits: Competitive salary, remote work, and opportunities for skill development.
- Why this job: Make a real impact in drug discovery while working with top-tier professionals.
- Qualifications: PhD or equivalent experience in statistics or related fields, with strong coding skills.
- Other info: Join a dynamic team with excellent career growth opportunities and methodological breakthroughs.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
Your new company This cutting-edge data science firm is driving transformation in life sciences through methodological excellence and innovation. Its research division is a hub for scientific exploration, where novel statistical techniques are developed to tackle some of the most pressing challenges in genomics and drug discovery. The organisation values intellectual curiosity, cross-disciplinary …
ZIPC1_UKTJ
Lead Data Scientist - Drug Discovery employer: Hays
Contact Detail:
Hays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Drug Discovery
✨Tip Number 1
Network like a pro! Reach out to your connections in the life sciences and data science fields. Attend relevant meetups or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your statistical models and methodologies. Use platforms like GitHub to share your projects and code. This not only demonstrates your skills but also gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex statistical concepts in simple terms. Remember, you’ll need to convey your ideas clearly to stakeholders, so being able to articulate your thoughts is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our innovative team.
We think you need these skills to ace Lead Data Scientist - Drug Discovery
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in statistical methodologies and genomic data. We want to see how your background aligns with the role, so don’t be shy about showcasing your relevant skills and projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about drug discovery and how your innovative approach can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any interesting projects or published papers, make sure to mention them! We’re keen to see your track record of innovation in statistical methodology, so include links or summaries where possible.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Hays
✨Know Your Stats Inside Out
Make sure you brush up on your statistical methodologies, especially those relevant to genomics and drug discovery. Be prepared to discuss your previous work in developing statistical models and how they can be applied to real-world problems.
✨Showcase Your Coding Skills
Since advanced coding skills in R or Python are crucial for this role, be ready to demonstrate your proficiency. You might be asked to solve a problem on the spot, so practice coding challenges related to statistical computing environments.
✨Communicate Clearly
You’ll need to explain complex statistical ideas to various stakeholders. Practice articulating your thoughts clearly and concisely, focusing on how your methodologies can impact drug discovery and development.
✨Align with Their Values
This company values intellectual curiosity and collaboration. During the interview, express your passion for scientific exploration and how you’ve worked cross-disciplinarily in the past. Show them you’re not just a data scientist, but a team player who thrives in innovative environments.
