At a Glance
- Tasks: Join a team to develop cutting-edge genomics methods and decode gene expression.
- Company: Radcliffe Department of Medicine, part of the prestigious MRC Weatherall Institute.
- Benefits: Gain hands-on experience in world-leading genomics and machine learning techniques.
- Other info: Collaborative environment with opportunities for intellectual growth and career advancement.
- Why this job: Make a real impact on human health through innovative research.
- Qualifications: Degree in biological sciences and lab experience in molecular biology and sequencing.
The predicted salary is between 30000 - 40000 £ per year.
Location: Radcliffe Department of Medicine, MRC Weatherall Institute of Molecular Medicine, MRC Molecular Haematology Unit, John Radcliffe Hospital, Headington, Oxford.
Applications are invited for a Research Assistant to work with Professor James Davies and Professor Jim Hughes. This is an exciting opportunity to work on developing cutting-edge genomics methods. The main focus will be on unravelling the intricate relationship between the sequence of the human genome and the development of common diseases.
You will work on a collaborative project with Professor Ceclia Lindgen’s group at the Big Data Institute that aims to develop machine learning and laboratory-based approaches for decoding how the human genome encodes gene expression levels. You will undertake large scale data generation from primary human samples using a method recently pioneered by the host laboratory (Hua et al., Nature 2021).
If you are eager to gain experience in world leading genomics methods, this is a fantastic opportunity to work on a highly intellectually stimulating and collaborative project that aims to make a major impact on human health.
You will hold a degree in biological sciences with a period of relevant practical working experience within a laboratory. Experience in experimental work is essential including molecular biology, high-throughput sequencing-based assays, cell culture and flow cytometry. Ideally candidates will have experience of FACS sorting and bioinformatics. You should be able to demonstrate the ability to work collaboratively and communicate research findings clearly and succinctly in presentations.
This position is available fixed term for 2 years, funded by a Wellcome Discovery Award. Applications for this vacancy are to be made online. You will be required to upload a CV and supporting statement as part of your online application. Closing date for this position is 12.00 noon on 8th May 2024. Interviews to be held week on Monday 20th May 2024.
Genomics Research Assistant - Gene Expression & ML in Oxford employer: University of Oxford
The Radcliffe Department of Medicine offers an exceptional work environment for the Genomics Research Assistant role, fostering a culture of collaboration and innovation at the forefront of genomic research. Employees benefit from access to cutting-edge technology and methodologies, alongside opportunities for professional growth through engagement with leading experts in the field. Located in Oxford, this position not only provides a chance to contribute to impactful health research but also allows for a vibrant academic lifestyle in a historic city known for its rich educational heritage.
StudySmarter Expert Advice🤫
We think this is how you could land Genomics Research Assistant - Gene Expression & ML in Oxford
✨Tip Number 1
Network like a pro! Reach out to people in the genomics field, especially those connected to the Radcliffe Department of Medicine. A friendly chat can open doors and give you insights that might just help you stand out.
✨Tip Number 2
Prepare for your interview by brushing up on your knowledge of gene expression and machine learning. We recommend practising common interview questions and even doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 3
Showcase your hands-on experience! Be ready to discuss your lab work, especially any projects involving molecular biology or high-throughput sequencing. We want to hear about your successes and what you learned from challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about the opportunity and keen to be part of our innovative team.
We think you need these skills to ace Genomics Research Assistant - Gene Expression & ML in Oxford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Genomics Research Assistant role. Highlight relevant experience in molecular biology, high-throughput sequencing, and any lab work you've done. We want to see how your background fits with our exciting project!
Craft a Compelling Supporting Statement:Your supporting statement is your chance to shine! Use it to explain why you're passionate about genomics and how your skills align with the role. Be clear and concise, and don't forget to mention any collaborative projects you've been part of.
Showcase Your Communication Skills:Since communication is key in our collaborative environment, make sure to demonstrate your ability to present research findings clearly. Whether it's through your CV or supporting statement, let us know how you've effectively communicated complex ideas in the past.
Apply Through Our Website:Don't forget to apply through our website! It's the easiest way for us to receive your application. Make sure you upload both your CV and supporting statement before the deadline on 8th May 2024. We can't wait to hear from you!
How to prepare for a job interview at University of Oxford
✨Know Your Genomics Inside Out
Make sure you brush up on the latest developments in genomics, especially those related to gene expression and machine learning. Familiarise yourself with key studies, like the one from Hua et al. (Nature 2021), as it shows your genuine interest and understanding of the field.
✨Showcase Your Practical Experience
Be ready to discuss your hands-on experience in the lab, particularly with molecular biology techniques, high-throughput sequencing, and flow cytometry. Prepare specific examples of your work, including any challenges you faced and how you overcame them.
✨Highlight Collaboration Skills
Since this role involves working closely with other researchers, emphasise your ability to collaborate effectively. Share examples of past projects where teamwork was crucial, and how you contributed to achieving common goals.
✨Communicate Clearly and Confidently
Practice presenting your research findings succinctly. You might be asked to explain complex concepts during the interview, so being able to communicate clearly is key. Consider doing mock interviews with friends or mentors to refine your delivery.
