At a Glance
- Tasks: Analyse antibody data and support innovative protein engineering projects.
- Company: Cutting-edge TechBio company in London with a collaborative culture.
- Benefits: Gain valuable experience in biotech and work on next-gen therapeutics.
- Other info: Exciting opportunity for career growth in the biotech industry.
- Why this job: Join a dynamic team and make a real impact in antibody design.
- Qualifications: PhD or equivalent in Computational Biology and Python programming skills.
The predicted salary is between 30000 - 40000 £ per year.
We are seeking a Computational Biologist to support antibody discovery and structural programmes within a cutting-edge TechBio environment.
Key Responsibilities:
- Analyse antibody sequence, repertoire, and structural data.
- Evaluate computationally designed antibody candidates.
- Support protein engineering and affinity optimisation efforts.
- Collaborate with machine learning, computational, and experimental scientists.
Requirements:
- PhD (or equivalent experience) in Computational Biology, Structural Bioinformatics, Computational Structural Biology, or a related field.
- Experience with antibody discovery, structural modelling, and protein engineering.
- Python programming skills.
- Understanding of biologics or drug discovery.
Desirable:
- Machine learning or generative AI for protein/antibody design.
- Biotech or pharmaceutical industry experience.
This is an excellent opportunity to contribute to next-generation antibody therapeutics within a highly collaborative and innovative research team.
Computational Biologist 12 month FTC- Antibody Design in London employer: Hlx Life Sciences
Join a pioneering TechBio company in London, where innovation meets collaboration in the field of antibody design. We offer a dynamic work culture that fosters professional growth and encourages creativity, alongside competitive benefits and opportunities to work with leading experts in computational biology. This role not only allows you to contribute to groundbreaking research but also positions you within a vibrant community dedicated to advancing healthcare solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Computational Biologist 12 month FTC- Antibody Design in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of Computational Biology, especially those working in antibody design. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python programming projects, especially those related to antibody discovery or structural modelling. 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 knowledge of biologics and drug discovery. Be ready to discuss how your experience aligns with the responsibilities of the role, particularly in protein engineering and affinity optimisation.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Computational Biologist 12 month FTC- Antibody Design in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience in computational biology and antibody design. We want to see how your skills align with the job description, so don’t be shy about showcasing your Python programming and any hands-on experience you have!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about antibody discovery and how your background makes you a great fit for our team. We love seeing enthusiasm and a personal touch, so let your personality come through.
Showcase Your Projects:If you've worked on any relevant projects, whether during your PhD or in previous roles, make sure to mention them. We’re keen to see examples of your work in structural modelling or protein engineering, as this will help us understand your practical skills.
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 that you’re genuinely interested in joining our innovative team at StudySmarter!
How to prepare for a job interview at Hlx Life Sciences
✨Know Your Antibodies
Make sure you brush up on your knowledge of antibody discovery and structural biology. Be ready to discuss specific techniques you've used in the past, especially those related to protein engineering and affinity optimisation. This will show that you're not just familiar with the concepts but have practical experience too.
✨Show Off Your Coding Skills
Since Python programming is a key requirement, prepare to talk about your coding experience. Bring examples of projects where you've used Python for data analysis or modelling. If possible, be ready to solve a coding problem on the spot to demonstrate your skills.
✨Collaborative Spirit
This role involves working closely with machine learning and experimental scientists, so highlight your teamwork experiences. Share examples of how you've successfully collaborated in the past, particularly in interdisciplinary settings. This will help them see you as a team player who can thrive in their innovative environment.
✨Stay Current with Trends
Familiarise yourself with the latest trends in biologics and drug discovery, especially around machine learning and generative AI in antibody design. Being able to discuss recent advancements or case studies will demonstrate your passion for the field and your commitment to staying informed.
