Postdoc: DNA Damage & Mutagenesis ML Scientist
Postdoc: DNA Damage & Mutagenesis ML Scientist

Postdoc: DNA Damage & Mutagenesis ML Scientist

Full-Time 35000 - 45000 £ / year (est.) No home office possible
University of Edinburgh

At a Glance

  • Tasks: Conduct groundbreaking research on DNA damage and develop innovative detection technologies.
  • Company: Join the prestigious University of Edinburgh's Institute of Genetics and Cancer.
  • Benefits: Collaborative environment, opportunities for multidisciplinary work, and career development.
  • Why this job: Make a real impact in genetics while working with cutting-edge machine learning techniques.
  • Qualifications: PhD in molecular biology and experience in nucleic acid manipulation and machine learning.

The predicted salary is between 35000 - 45000 £ per year.

The University of Edinburgh is seeking a post-doctoral researcher to join the Institute of Genetics and Cancer. This role involves pioneering research into DNA damage mechanisms within a collaborative international team. The successful candidate will drive the development of technologies to detect DNA modifications and produce DNA sequencing libraries for machine learning models.

Ideal applicants will have a PhD in molecular biology and experience in nucleic acid manipulation and machine learning. This position offers opportunities for multidisciplinary collaboration and development.

Postdoc: DNA Damage & Mutagenesis ML Scientist employer: University of Edinburgh

The University of Edinburgh is an exceptional employer, offering a vibrant and inclusive work culture that fosters innovation and collaboration among researchers. With access to cutting-edge facilities and a strong emphasis on professional development, employees are encouraged to grow their skills and contribute to groundbreaking research in genetics and cancer. Located in the heart of Edinburgh, the university provides a stimulating environment that supports both personal and academic growth, making it an ideal place for those seeking meaningful and impactful careers in science.
University of Edinburgh

Contact Detail:

University of Edinburgh Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Postdoc: DNA Damage & Mutagenesis ML Scientist

✨Tip Number 1

Network like a pro! Reach out to researchers and professionals in the field of DNA damage and mutagenesis. Attend conferences or webinars, and don’t be shy to introduce yourself – you never know who might have a lead on your dream postdoc position!

✨Tip Number 2

Show off your skills! When you get the chance to chat with potential employers, highlight your experience in nucleic acid manipulation and machine learning. Be ready to discuss specific projects where you've applied these skills – it’ll make you stand out from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on the latest research in DNA damage mechanisms. We recommend having a few insightful questions ready about their current projects. This shows your genuine interest and helps you connect with the team.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform – it shows you’re serious about joining our collaborative team!

We think you need these skills to ace Postdoc: DNA Damage & Mutagenesis ML Scientist

Molecular Biology
Nucleic Acid Manipulation
Machine Learning
DNA Damage Mechanisms
DNA Sequencing
Technology Development
Collaborative Research
Multidisciplinary Collaboration

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your PhD in molecular biology and any relevant experience in nucleic acid manipulation. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about DNA damage mechanisms and how your background in machine learning can contribute to our research. Keep it engaging and personal!

Showcase Collaborative Spirit: Since this role involves working in a collaborative international team, highlight any previous teamwork experiences. We love candidates who can work well with others and bring diverse perspectives to the table.

Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way to ensure your application gets into the right hands quickly!

How to prepare for a job interview at University of Edinburgh

✨Know Your Science

Make sure you brush up on the latest research in DNA damage and mutagenesis. Be prepared to discuss your PhD work in detail, especially any nucleic acid manipulation techniques you've used. This shows your depth of knowledge and passion for the field.

✨Showcase Your Tech Skills

Since this role involves developing technologies for DNA sequencing libraries, be ready to talk about your experience with machine learning. Bring examples of projects where you've applied these skills, and how they can benefit the team at the University of Edinburgh.

✨Collaborative Spirit

This position emphasises multidisciplinary collaboration, so highlight any teamwork experiences you've had. Share specific examples of how you've worked effectively in a team setting, especially in international or diverse groups.

✨Ask Insightful Questions

Prepare thoughtful questions about the research environment and ongoing projects at the Institute of Genetics and Cancer. This not only shows your interest but also helps you gauge if the team is the right fit for you.

Postdoc: DNA Damage & Mutagenesis ML Scientist
University of Edinburgh

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

>