Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead groundbreaking analyses in genetics and collaborate with diverse teams to drive drug discovery.
- Company: Join a cutting-edge techbio on a mission to revolutionise health resilience.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and innovation.
- Why this job: Make a real impact in healthcare by unlocking novel therapies through innovative research.
- 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 Derby 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 Derby
✨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! Talk about any personal projects or research that align with the company's goals. This can set you apart from other candidates and demonstrate your commitment.
We think you need these skills to ace Statistical Geneticist - ML in Derby
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 this role involves a lot of technical work, be sure to mention your proficiency in Python, R, and any experience with ML or deep learning. We love seeing candidates who can demonstrate their coding prowess and familiarity with GWAS methodologies.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and how you fit into our mission of driving drug discovery.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the position. Plus, it gives you a chance to explore more about what we do at StudySmarter.
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 QTL data types. Be ready to discuss how you've applied these methodologies in your previous work. This shows you're not just familiar with the terms but can actually use them effectively.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python, R, and any relevant tools like PyTorch. You might be asked to solve a problem or explain your approach to a project, so having examples ready will help you stand out.
✨Connect with the Team
Since this role involves working cross-functionally, think about how you can collaborate with ML, biology, and engineering teams. Be prepared to share examples of past teamwork and how you’ve contributed to collective goals.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s mission and the specific projects you’d be involved in. This not only shows your interest but also helps you gauge if the company is the right fit for you.