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For Companies At a Glance
- Tasks: Lead statistical genetics work for late-stage therapeutic programs and oversee diverse 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 strong leadership and communication skills required.
- Other info: Opportunity to shape decision-making and contribute to significant scientific advancements.
The predicted salary is between 48000 - 72000 £ per year.
Your new company
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.
Your new role
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.
What you\’ll need to succeed
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
What you\’ll get in return
A 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.
What you need to do now
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.
Keywords: Statistical, Genetics, Genomic, Data, Clinical, Trial, WGS, Omics, Pharmaceutical, Industry, Biotech, Research, Development, PRS, Polygenic, Scores, Analysis, Patient, Stratification, Selection, Bioinformatics, Project, Leader, Principal, Cross-functional, Teams, Stakeholder, Scientific, Questions, Samples, Generation, Strategy, Expansion, Programme, Communication, Publications, Presentations, Leadership
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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 relevant conferences or webinars where you can meet potential colleagues and learn about the latest trends in statistical genetics. This can help you gain insights into the company culture and the specific skills they value.
✨Tip Number 2
Familiarise yourself with the latest advancements in polygenic risk scores and their applications in clinical trials. Being able to discuss recent studies or breakthroughs during interviews will demonstrate your passion and expertise in the field, making you a more attractive candidate.
✨Tip Number 3
Prepare to showcase your leadership experience by thinking of specific examples where you've successfully led research projects. Be ready to discuss how you managed teams and collaborated with cross-functional partners to achieve scientific goals, as this is crucial for the role.
✨Tip Number 4
Practice presenting complex scientific concepts in a clear and engaging manner. Since the role involves communicating findings to non-technical stakeholders, being able to simplify your research without losing its essence will set you apart from other candidates.
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 experience in statistical genetics and bioinformatics. Emphasise any relevant projects, especially those involving clinical trial data, and showcase your publication record.
Craft a Compelling Cover Letter: Write a cover letter that clearly outlines your motivation for applying to this specific role. Mention your expertise in developing polygenic risk scores and how your skills align with the company's goals in advancing therapeutic programs.
Highlight Collaborative Experience: In your application, emphasise your experience working in cross-functional teams. Provide examples of how you've collaborated with bioinformatics, clinical development, or R&D teams to address scientific questions.
Showcase Communication Skills: Demonstrate your ability to present complex scientific results to non-technical stakeholders. Include examples of past presentations or reports that illustrate your strong communication skills, as this is crucial for the role.
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 and collaborated with diverse teams to address critical scientific questions.
✨Prepare for Technical Questions
Expect technical questions related to statistical genetics and bioinformatics. Brush up on relevant methodologies 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.
