At a Glance
- Tasks: Analyse protein targets and run simulations to drive therapeutic discovery.
- Company: Join Deep Origin, a leader in innovative therapeutic modelling.
- Benefits: Competitive salary, research opportunities, and a chance to shape the future of medicine.
- Other info: Dynamic team environment focused on groundbreaking ARPA-H initiatives.
- Why this job: Make a real impact in therapeutics with cutting-edge technology and collaboration.
- Qualifications: Ph.D. in computational chemistry and 2+ years of relevant experience.
The predicted salary is between 50000 - 60000 € per year.
Deep Origin is searching for a Scientist in the United Kingdom with a Ph.D. in computational chemistry or related fields. The successful candidate will have strong expertise in small-molecule docking, molecular dynamics simulations, and machine learning.
Responsibilities include:
- Analyzing protein targets
- Running docking and FEP simulations
- Collaborating with ML teams
Applicants should have 2+ years of experience and be proficient in Python and cheminformatics tools. Join us to shape the future of therapeutics modeling via our ARPA-H initiatives.
Scientist, Computational Chemistry & MD for Therapeutic Discovery in London employer: Deep Origin
Deep Origin is an exceptional employer that fosters a collaborative and innovative work culture, where scientists are empowered to push the boundaries of therapeutic discovery. Located in the United Kingdom, we offer competitive benefits, continuous professional development opportunities, and a chance to contribute to groundbreaking ARPA-H initiatives, making your work both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Scientist, Computational Chemistry & MD for Therapeutic Discovery in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the computational chemistry field on LinkedIn or at conferences. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your small-molecule docking and molecular dynamics simulations. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and cheminformatics tools. Be ready to discuss your past projects and how they relate to the role at Deep Origin. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Scientist, Computational Chemistry & MD for Therapeutic Discovery in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Ph.D. and relevant experience in computational chemistry. We want to see your expertise in small-molecule docking and molecular dynamics simulations front and centre!
Showcase Your Skills:Don’t forget to mention your proficiency in Python and any cheminformatics tools you’ve used. We’re looking for candidates who can hit the ground running, so let us know how you’ve applied these skills in your previous roles.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about therapeutic discovery and how your experience aligns with our ARPA-H initiatives. We love hearing about your collaborative spirit, especially with ML teams!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team at Deep Origin!
How to prepare for a job interview at Deep Origin
✨Know Your Stuff
Make sure you brush up on your knowledge of small-molecule docking and molecular dynamics simulations. Be ready to discuss specific projects you've worked on, especially those involving Python and cheminformatics tools. This will show that you’re not just familiar with the concepts but have practical experience.
✨Showcase Your Collaboration Skills
Since the role involves working with ML teams, be prepared to talk about your past experiences collaborating with others. Highlight any interdisciplinary projects you've been part of and how you contributed to the team's success. This will demonstrate your ability to work well in a team environment.
✨Prepare for Technical Questions
Expect some technical questions related to computational chemistry and machine learning. Review common algorithms and techniques used in these fields. Practising how to explain complex concepts in simple terms can also help you communicate effectively during the interview.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the ARPA-H initiatives or the company’s future projects in therapeutic modelling. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
