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- Tasks: Lead innovative research in Computational Genomics focused on reproductive disorders.
- Company: Join the University of Edinburgh's Institute of Genetics and Cancer, a leader in genetic research.
- Benefits: Enjoy flexible working options, including part-time and hybrid arrangements.
- Why this job: Make a real impact in genomic medicine while collaborating with top researchers.
- Qualifications: PhD in a relevant field and post-doctoral experience required.
- Other info: Salary ranges from £49,559 to £60,907 per annum.
The predicted salary is between 42500 - 51000 £ per year.
Full-time: 35 hours per week
Open-ended: permanent contract
The Opportunity:
Establishing an innovative research line as Lecturer in Computational Genomics related to reproductive disorders and genomic medicine.
This Lecturer post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.
The salary for this post is£49,559 – £60,907per annum.
The Institute of Genetics and Cancer at the University of Edinburgh has a faculty lecturer position for Computational Genomics, to work with the Director of the Institute, Professor Joris Veltman, on reproductive genomics and genomic medicine (seeinstitute-genetics-cancer.ed.ac.uk/research/research-groups-a-z/veltman-group). Candidates should have a demonstrable track record of innovative research and/or translation in genomics, knowledge exchange and the potential to make an outstanding contribution to furthering the Institute’s strategic goals by developing an innovative research programme.
The mission of the Institute of Genetics and Cancer is to understand development and disease by using the latest approaches in genetic, genomic, cellular and clinical science. Our focus is on research into human genetics and cancer, and on training the next generation in an outstanding environment for basic discovery science and translation.
The Institute constitutes one of the largest aggregates of human molecular genetics and biology researchcapacity in the UK with more than 70 Principal Investigators, 500 staff and 100 PhD students. By pooling resources and multidisciplinary skills, the Institute brings together the scientific expertise, technology and support services needed to maximise scientific discovery.
For more information about the Institute, seeinstitute-genetics-cancer.ed.ac.uk/about
Your skills and attributes for success:
- PhD in a relevant area (or near completion)
- Relevant post-doctoral experience
- Evidence of innovative working with genomic data to improve variant detection and interpretation
- Evidence of the ability to obtain funding to support research
- Recent record of high-quality publications
£49,559 to £60,907 per annum (Grade 8)
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Lecturer in Computational Genomics employer: Economicsnetwork
Contact Detail:
Economicsnetwork Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lecturer in Computational Genomics
✨Tip Number 1
Network with professionals in the field of computational genomics. Attend relevant conferences, workshops, and seminars to meet potential colleagues and collaborators. Engaging with others in your area can lead to valuable connections and insights that may help you stand out.
✨Tip Number 2
Familiarise yourself with the research being conducted at the Institute of Genetics and Cancer. Understanding their current projects and strategic goals will allow you to tailor your discussions and demonstrate how your expertise aligns with their mission during interviews.
✨Tip Number 3
Prepare to discuss your innovative research ideas in detail. Think about how your work can contribute to reproductive disorders and genomic medicine, and be ready to articulate your vision for a research programme that fits within the Institute's framework.
✨Tip Number 4
Showcase your ability to secure funding by preparing examples of past successful grant applications or proposals. Highlighting your experience in obtaining financial support for research will demonstrate your capability to contribute to the Institute's growth and sustainability.
We think you need these skills to ace Lecturer in Computational Genomics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in computational genomics, particularly any innovative research or projects related to reproductive disorders. Use specific examples to demonstrate your skills and achievements.
Craft a Compelling Cover Letter: Write a cover letter that clearly outlines your motivation for applying to the Lecturer position. Discuss how your background aligns with the Institute's mission and how you plan to contribute to their research goals.
Highlight Your Research Impact: In your application, emphasise your track record of obtaining funding and your recent publications. This will showcase your ability to contribute to the Institute's strategic goals and your potential for innovative research.
Proofread and Edit: Before submitting your application, thoroughly proofread all documents for clarity and grammatical accuracy. A well-presented application reflects your attention to detail and professionalism.
How to prepare for a job interview at Economicsnetwork
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to genomic data and reproductive disorders. Highlight any innovative approaches you've taken and the impact of your work on the field.
✨Demonstrate Funding Acumen
Since obtaining funding is crucial for this role, come equipped with examples of successful grant applications or funding proposals you've worked on. Discuss your strategies for securing financial support for research initiatives.
✨Engage with the Institute's Goals
Familiarise yourself with the strategic goals of the Institute of Genetics and Cancer. Be ready to articulate how your research aligns with their mission and how you can contribute to their objectives in genomic medicine.
✨Prepare Thoughtful Questions
Interviews are a two-way street. Prepare insightful questions about the Institute's current projects, collaborative opportunities, and future directions in computational genomics. This shows your genuine interest and engagement.
