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- Tasks: Lead groundbreaking analyses in genetics and collaborate with diverse teams to drive drug discovery.
- Company: Cutting-edge techbio on a mission to revolutionise health resilience and therapies.
- Benefits: Competitive salary, innovative work environment, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement opportunities in a collaborative setting.
- Why this job: Join a pioneering team using AI and genetics to make a real impact in healthcare.
- Qualifications: MSc or PhD in relevant fields and hands-on experience with large-scale genetic datasets.
The predicted salary is between 60000 - 80000 £ per year.
Wenham Carter are partnered with a cutting-edge techbio, on a mission to model health resilience, unlocking novel therapies. Combining large-scale human genetics, multi‑omics, and AI, they are driving target discovery and accelerating drug development in partnership with leading pharma companies. They are hiring a Statistical Geneticist with a strong analytical background to a key role in their genetics‑driven causal AI platform:
- Responsibilities
- Lead GWAS, PheWAS, PRS, rare variant and post‑GWAS analyses
- Integrate multi‑omics QTL data (eQTL, pQTL, mQTL) for gene prioritisation and causal inference
- Working with and apply ML‑derived and continuous phenotypes to enhance genetic discovery
- Build scalable, reproducible pipelines for population-scale datasets
- Work cross‑functionally with ML, biology, and engineering teams to drive drug discovery decisions
- What we’re looking for
- MSc or PhD in Statistical Genetics, Bioinformatics, Biostatistics, or similar. First authorships on published papers particularly interesting
- Hands-on experience with large-scale genetic datasets
- Demonstrated skills & experience in Python/PyTorch, R, Unix/Linux, and GWAS methodologies
- Experience with HPC or cloud computing
- Experience in deep learning or ML.
Please apply with an updated CV to be considered for the position. Be prepared to talk through your skills and experience which aligns with the position.
Statistical Geneticist - ML in Leicester employer: Searches @ Wenham Carter
Contact Detail:
Searches @ Wenham Carter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistical Geneticist - ML in Leicester
✨Tip Number 1
Get to know the company inside out! Research their mission, values, and recent projects. This will help you tailor your conversations and show that you're genuinely interested in their work.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral.
✨Tip Number 3
Prepare for the interview by practising common questions related to statistical genetics and machine learning. Be ready to discuss your hands-on experience with large-scale datasets and how you've applied your skills in real-world scenarios.
✨Tip Number 4
Don’t forget to showcase your passion for the field! Share your thoughts on the latest trends in genetic research and how you see them impacting drug development. This will set you apart as a candidate who’s not just qualified but also enthusiastic.
We think you need these skills to ace Statistical Geneticist - ML in Leicester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in statistical genetics and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your first authorships and hands-on experience with large-scale datasets!
Showcase Your Technical Skills: Since we're looking for someone with a strong analytical background, be sure to mention your proficiency in Python, R, and any experience with ML methodologies. If you've worked with cloud computing or HPC, let us know – it’s a big plus!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see how you fit into our mission of driving drug discovery through genetics.
Apply Through Our Website: We encourage you to apply directly through our website. It helps us keep track of applications better and ensures you’re considered for the position. Plus, it’s super easy – just upload your CV and you’re good to go!
How to prepare for a job interview at Searches @ Wenham Carter
✨Know Your Stuff
Make sure you brush up on your knowledge of GWAS, PheWAS, and the various analyses mentioned in the job description. Be ready to discuss your hands-on experience with large-scale genetic datasets and how you've applied ML techniques in your previous work.
✨Showcase Your Projects
Prepare to talk about your first authorships and any relevant projects you've worked on. Highlight how your contributions have driven results, especially in relation to drug discovery or genetic analysis. This will demonstrate your practical experience and analytical skills.
✨Familiarise with Tools
Since the role requires proficiency in Python/PyTorch, R, and Unix/Linux, make sure you're comfortable discussing these tools. You might even want to bring examples of how you've used them in past projects to illustrate your expertise.
✨Cross-Functional Collaboration
Be prepared to discuss how you've worked with different teams, such as ML, biology, and engineering. Share specific examples of how collaboration has led to successful outcomes in your previous roles, as this is crucial for driving drug discovery decisions.