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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.
- Benefits: Competitive salary, innovative projects, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on collaboration and innovation.
- Why this job: Join a pioneering team using AI to unlock novel therapies and make a real impact.
- 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
- 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 Liverpool 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 Liverpool
✨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. We recommend using the STAR method to structure your answers and highlight your relevant experience.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can leave a lasting impression and keep you top of mind as they make their decision.
We think you need these skills to ace Statistical Geneticist - ML in Liverpool
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 GWAS methodologies. If you've worked with cloud computing or deep learning, let us know – it’ll definitely catch our eye!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see why you’re a great fit for the Statistical Geneticist role!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into our hands quickly. Plus, it shows us you’re keen on joining our mission to drive drug discovery with cutting-edge tech!
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 integrating multi-omics data or building scalable pipelines. Real examples will make you stand out!
✨Get Technical
Since the role requires skills in Python/PyTorch, R, and Unix/Linux, be prepared for technical questions or even a coding challenge. Brush up on your coding skills and think of ways to demonstrate your proficiency during the interview.
✨Collaborative Mindset
This position involves working cross-functionally with various teams. Be ready to discuss how you've successfully collaborated with others in the past, particularly in driving drug discovery decisions. Show that you're a team player who can communicate effectively across disciplines.