Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead statistical genetics work for late-stage therapeutic programs and oversee research teams.
- Company: Join a leading biotech firm known for innovation and collaboration in genetics and genomics.
- Benefits: Enjoy a generous daily rate and flexible remote working options.
- Why this job: Make a real impact on healthcare while working with top experts in a dynamic environment.
- Qualifications: PhD in statistical genetics or related field, with experience in clinical trial data and project leadership.
- Other info: Based in London, with opportunities for home working and significant career growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading biotech company, with a well-established presence in multiple therapy areas is looking to hire a Lead Statistical Genetics Scientist to support the further development of their products. They have a track record of innovation and a highly collaborative, cross-functional work environment. You would be joining an established team with significant expertise within genetics and genomics research, partnering with colleagues in bioinformatics, clinical development and R&D.
You will be responsible for the Statistical Genetics work required to support an asset being taken through late-stage trials. Major responsibilities will include (but are not limited to):
- Formulate a genomics strategy for advancing late-stage therapeutic programs
- Lead generation of WGS and other omics data within clinical trials
- Conduct research within diverse teams, ensuring high levels of scientific rigour are applied
- Supervise a team providing data-driven insights to address critical business needs and technical questions
- Present findings to internal and external stakeholders, shaping decision-making processes
- Draft study synopses, protocols, reports, and regulatory documents to support clinical development
- Create and implement a publication strategy, including overseeing manuscript preparation
This role is based out of London with significant scope for home/remote working.
As well as strong communication and organisational skills, candidates should have:
- A PhD (or equivalent experience) in statistical genetics, bioinformatics or a related discipline
- Deep expertise in statistical genetics, especially in developing and applying polygenic risk scores to patient populations
- Demonstrated success in leading research projects independently, with a strong preference for those involving clinical trial data
- A good publication record, or demonstrable experience of presenting complex scientific results/ideas to non-technical stakeholders
- Ideally hands-on experience within the pharmaceutical, biotech, CRO or similar industry as a Statistical Geneticist
- A background of collaborating with partners to pinpoint and address critical scientific questions
A very generous daily rate and the opportunity to make a significant impact on the company's portfolio as they advance an asset towards the market, working with a high performing team.
If you’re interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn’t quite right for you but you are looking for a new position within bioinformatics or genetics, please contact us for a confidential discussion on your career.
Statistical Genetics Lead employer: Hays
Contact Detail:
Hays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistical Genetics Lead
✨Tip Number 1
Network with professionals in the biotech and pharmaceutical industries. Attend conferences, webinars, or local meetups related to statistical genetics and bioinformatics. Engaging with others in your field can lead to valuable connections and potential job opportunities.
✨Tip Number 2
Showcase your expertise in statistical genetics by participating in relevant online forums or contributing to discussions on platforms like LinkedIn. This not only demonstrates your knowledge but also helps you get noticed by recruiters looking for candidates with your skill set.
✨Tip Number 3
Prepare to discuss your previous research projects in detail during interviews. Be ready to explain how your work has contributed to advancements in clinical trials or patient stratification, as this will highlight your practical experience and leadership capabilities.
✨Tip Number 4
Familiarise yourself with the latest trends and technologies in statistical genetics and genomics. Being knowledgeable about current developments will not only help you in interviews but also show your commitment to staying at the forefront of your field.
We think you need these skills to ace Statistical Genetics Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your PhD or equivalent experience in statistical genetics or bioinformatics. Emphasise your expertise in developing polygenic risk scores and any relevant clinical trial experience.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss your leadership experience in research projects and how you can contribute to their late-stage therapeutic programs.
Showcase Your Publication Record: If you have a good publication record, mention it in your application. Highlight any presentations you've made to non-technical stakeholders, as this demonstrates your ability to communicate complex ideas effectively.
Prepare for Potential Interviews: Be ready to discuss your previous research projects and how they relate to the responsibilities of the role. Think about examples where you've collaborated with cross-functional teams and how you addressed critical scientific questions.
How to prepare for a job interview at Hays
✨Showcase Your Expertise
Be prepared to discuss your deep expertise in statistical genetics, especially regarding polygenic risk scores. Highlight specific projects where you've successfully applied these skills, particularly in clinical trial settings.
✨Demonstrate Leadership Experience
Since the role involves supervising a team, share examples of your leadership experience. Discuss how you've led research projects independently and collaborated with diverse teams to achieve scientific goals.
✨Prepare for Technical Questions
Expect technical questions related to statistical genetics and bioinformatics. Brush up on recent advancements in the field and be ready to explain complex concepts in a way that non-technical stakeholders can understand.
✨Discuss Your Publication Strategy
As the role includes creating a publication strategy, be ready to talk about your past publications and how you approach manuscript preparation. This will demonstrate your ability to contribute to the company's scientific output.
