At a Glance
- Tasks: Generate and analyse biophysical data for antibody panels and support AI-driven drug discovery.
- Company: Leading pharmaceutical company focused on innovative antibody engineering.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Initial 12-month contract with potential for career advancement.
- Why this job: Join a multidisciplinary team and contribute to the future of AI in healthcare.
- Qualifications: PhD or equivalent experience in antibody/protein biophysical characterisation required.
The predicted salary is between 40000 - 55000 £ 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.
Scientist, Antibody Biophysics & AI-Driven Engineering in Slough employer: VRS UK
Join a leading pharmaceutical company that champions 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 a vibrant area, this role offers not only competitive benefits but also the chance to be at the forefront of AI-driven drug discovery, making a meaningful impact on healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Scientist, Antibody Biophysics & AI-Driven Engineering in Slough
✨Tip Number 1
Network like a pro! Reach out to professionals in the antibody biophysics field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous work with biophysical characterisation techniques. We recommend bringing this along to interviews to demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your communication skills. We want you to feel confident discussing your research and how it relates to AI-driven engineering.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re always on the lookout for passionate scientists who are ready to contribute to innovative projects in antibody optimisation.
We think you need these skills to ace Scientist, Antibody Biophysics & AI-Driven Engineering in Slough
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 or DSC!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit for our Antibody Humanisation and Engineering team. Let us know how you can contribute to AI/ML-driven antibody engineering!
Showcase Your Collaborative Spirit:Since this role involves working closely with both wet-lab and computational scientists, highlight any past experiences where you’ve successfully collaborated in cross-functional teams. We love team players who can communicate effectively across disciplines!
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 don’t miss out on any important updates. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at VRS UK
✨Know Your Biophysical Techniques
Make sure you brush up on the specific techniques mentioned in the job description, like SPR, BLi, and DSC. Be ready to discuss your hands-on experience with these methods and how you've applied them in past projects.
✨Showcase Your Collaborative Spirit
Since this role involves working closely with computational scientists, highlight any previous experiences where you collaborated across disciplines. Share examples of how you communicated complex data effectively to non-experts.
✨Prepare for Data Presentation
You’ll need to present and communicate data across scientific teams, so practice summarising your research findings clearly and concisely. Use visuals if possible, as they can help convey your points more effectively.
✨Express Your Interest in AI/ML
Even if your primary expertise is in biophysics, showing enthusiasm for AI-driven engineering can set you apart. Familiarise yourself with how AI/ML is being used in antibody optimisation and be prepared to discuss your thoughts on its future impact.
