At a Glance
- Tasks: Generate and analyse biophysical data for antibody panels in a collaborative team.
- Company: Leading pharmaceutical company focused on innovative antibody engineering.
- Benefits: Competitive salary, contract role with potential for growth, and collaborative work environment.
- Other info: Exciting opportunity to work with advanced technologies and contribute to impactful research.
- Why this job: Join a cutting-edge team shaping the future of AI-driven drug discovery.
- Qualifications: PhD or equivalent experience in antibody/protein biophysical characterisation required.
The predicted salary is between 45000 - 60000 € per year.
A successful pharmaceutical company is looking for a Research Scientist or Senior Scientist with expertise in antibody/protein biophysical characterisation to join its Antibody Humanisation and Engineering team. This is an excellent opportunity for a delivery-focused scientist who enjoys generating high-quality experimental data and wants to contribute to the future of AI/ML-driven antibody engineering and digital drug discovery. You’ll work within a collaborative, multidisciplinary team of wet-lab and computational scientists, helping to generate critical biophysical datasets that support the development of next-generation antibody optimisation technologies.
Key responsibilities:
- Generate and analyse biophysical data for antibody panels
- Assess molecule quality and purity prior to characterisation
- Evaluate properties including affinity, thermal stability, self-interaction and non-specific binding
- Collaborate closely with computational scientists to support AI/ML model development
- Present and communicate data across scientific teams
- Support development of new antibody characterisation methodologies
Ideal background:
- PhD or equivalent industry experience in antibody/protein biophysical characterisation
- Hands-on experience with techniques assessing affinity, stability and developability e.g. SPR, BLi, DSC, DSF, DLS, mass photometry etc.
- Strong organisational and communication skills
- Ability to work effectively in cross-functional teams
- Interest in computational antibody engineering or AI-guided optimisation would be advantageous
- Experience with structural visualisation tools such as PyMOL would be beneficial
This role is offered on an initial 12 month contract.
Research or Senior Scientist - Antibody Biophysics in London employer: VRS Recruitment
Join a leading pharmaceutical company that prioritises innovation and collaboration in the field of antibody engineering. With a strong focus on employee development, you will have access to cutting-edge resources and a supportive work culture that encourages scientific exploration and teamwork. Located in the vibrant area of Slough, you will benefit from a dynamic environment that fosters growth and offers exciting opportunities to contribute to AI-driven drug discovery.
StudySmarter Expert Advice🤫
We think this is how you could land Research or Senior Scientist - Antibody Biophysics in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the pharmaceutical and biophysics fields. Attend industry events or webinars, and don’t be shy about introducing yourself to potential colleagues. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous work with antibody/protein characterisation techniques. Whether it’s data analysis or experimental results, having tangible evidence of your expertise can really set you apart during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by rehearsing common questions related to biophysical characterisation and AI/ML applications in drug discovery. The more comfortable you are discussing your experience, the more confident you’ll come across.
✨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, applying directly shows your enthusiasm and commitment to joining our team at StudySmarter.
We think you need these skills to ace Research or Senior Scientist - Antibody Biophysics in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in antibody/protein biophysical characterisation. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on experience with techniques like SPR and DSC!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML-driven antibody engineering and how your background makes you a perfect fit for our team. Keep it engaging and relevant!
Showcase Your Collaborative Spirit:Since we work in multidisciplinary teams, it’s important to highlight your teamwork skills. Share examples of how you’ve successfully collaborated with others, especially in cross-functional settings, to achieve common goals.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out on joining our innovative team!
How to prepare for a job interview at VRS Recruitment
✨Know Your Techniques
Make sure you brush up on the specific biophysical techniques mentioned in the job description, like SPR and DSC. Be ready to discuss your hands-on experience with these methods and how you've applied them in previous roles.
✨Showcase Your Data Skills
Prepare to talk about how you've generated and analysed biophysical data in the past. Think of examples where your data directly contributed to a project or decision, and be ready to explain your thought process behind it.
✨Collaboration is Key
Since this role involves working closely with computational scientists, highlight any past experiences where you've collaborated across disciplines. Share specific examples that demonstrate your ability to communicate effectively and work as part of a team.
✨Stay Curious About AI/ML
Express your interest in AI-guided optimisation and how it relates to antibody engineering. If you have any knowledge or experience in this area, even if it's just theoretical, make sure to bring it up during the interview.
