At a Glance
- Tasks: Drive innovation in genomics, crafting Polygenic Risk Scores and leading transformative projects.
- Company: A pioneering TechBio focused on advancing healthcare through genomics.
- Benefits: Competitive salary, clear career progression, continuous learning, and generous holiday allowance.
- Other info: Supportive work environment with a focus on personal and professional growth.
- Why this job: Make a real impact on healthcare by shaping the future of drug discovery.
- Qualifications: Experience in genetic analysis, statistical programming, and managing large datasets.
The predicted salary is between 50000 - 70000 £ per year.
Location: Oxford or London (Hybrid)
The Mission: Why We Exist
Genomics is a science-led transatlantic TechBio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative healthcare. We are united by a single vision to help people live longer healthier lives, using the power of genomics.
Genomics aims to help people live longer, healthier lives in two ways: super‑charging drug discovery and development for novel treatments with our AI‑enabled advanced genetic analytics platform, and by helping people understand their personal risk of common chronic diseases through polygenic risk scores - giving doctors and health systems the chance to get the right people into the right prevention, screening and treatment programmes at the right time.
A Day in the Life
As a Scientist, you'll drive innovation and collaboration, devising groundbreaking scientific approaches that help to shape team direction. You’ll communicate your discoveries effectively, and be a spearhead in leading transformative projects across the team.
You’ll forge cutting‑edge methods to craft Polygenic Risk Scores by harnessing genomic, real‑world and clinical data. Using a strategic approach, you will utilise advanced statistical techniques to prioritise therapeutics targets to unveil new treatment possibilities.
Success here demands a robust grasp of statistical human genetics applied inventively. You'll excel in unraveling complex genomic data and possess a knack for uncovering key insights, whilst working collectively with your highly skilled team.
Who You Are
- Experience in performing foundational genetic association analyses (e.g., GWAS; PRS)
- Strong competency in statistical programming (e.g., R, Python) sufficient to enable large-scale genomic data analysis
- Experience in data mining and/or management of large datasets.
- Confident in engaging with a variety of stakeholders, contributing and supporting in the delivery of presentations to customers.
Your Package
We are committed to providing a transparent, supportive, and rewarding work environment.
Compensation & Growth
- Competitive Salary: Salaries are externally benchmarked annually to ensure top‑of‑market compensation.
- Clear Career Path: A straightforward, open progression framework means you'll always know the path to promotion and how to achieve your next career goal.
- Continuous Learning: Including external courses and a wide library of L&D materials, because your growth is our success.
Wellbeing & Time Off
Holiday: 25 days annual leave, plus
Scientist in London employer: Genomics
At Genomics, we pride ourselves on being an exceptional employer, offering a dynamic and innovative work culture that fosters collaboration and creativity. Located in the vibrant cities of Oxford or London, our hybrid work model provides flexibility while ensuring you are part of a mission-driven team dedicated to advancing healthcare through cutting-edge genomic research. With competitive salaries, clear career progression paths, and a commitment to continuous learning, we empower our scientists to thrive and make meaningful contributions to the future of health.
StudySmarter Expert Advice🤫
We think this is how you could land Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Showcase your passion for genomics! When you get the chance to chat with potential employers, let your enthusiasm shine through. Talk about projects you've worked on and how they relate to their mission.
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of our team at Genomics.
We think you need these skills to ace Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Scientist role. Highlight your experience in genetic association analyses and statistical programming, as these are key to what we’re looking for.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about genomics and how your background makes you a great fit for our mission. Be sure to mention any innovative projects you've worked on that relate to drug discovery or predictive healthcare.
Showcase Your Team Spirit:We love collaboration! In your application, share examples of how you’ve worked effectively in teams. Highlight any experiences where you’ve led projects or contributed to presentations, as this is crucial for the role.
Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. This way, we can easily track your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Genomics
✨Know Your Genomics
Make sure you brush up on your knowledge of genomics and the specific techniques mentioned in the job description, like GWAS and PRS. Being able to discuss these concepts confidently will show that you're not just familiar with the field but also genuinely interested in the work.
✨Showcase Your Statistical Skills
Prepare to demonstrate your proficiency in statistical programming languages like R and Python. Bring examples of past projects where you've used these skills to analyse large datasets, as this will highlight your practical experience and problem-solving abilities.
✨Engage with Stakeholders
Think about how you can effectively communicate complex scientific ideas to various stakeholders. Prepare a few examples of how you've successfully presented findings or collaborated with others in the past, as this will illustrate your ability to engage and lead discussions.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your enthusiasm for the role and the company. Inquire about their current projects or future directions in drug discovery, which will demonstrate your genuine interest and help you assess if it's the right fit for you.
