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 multidisciplinary teams and develop new methodologies.
- Why this job: Contribute to AI-driven antibody engineering and digital drug discovery while working with cutting-edge technologies.
- 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 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 the future of AI-driven drug discovery.
StudySmarter Expert Advice🤫
We think this is how you could land Research or Senior Scientist - Antibody Biophysics
✨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. You never know who might have a lead on that perfect Research Scientist role!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous work with antibody characterisation techniques. Whether it’s SPR or mass photometry, having tangible examples of your expertise can really set you apart during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable discussing your research and findings. Mock interviews with friends or mentors can help you articulate your experience and how it aligns with the role. Remember, confidence is key!
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for talented scientists like you. Plus, applying directly can sometimes give you an edge over other candidates. Don’t miss out!
We think you need these skills to ace Research or Senior Scientist - Antibody Biophysics
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 relevant 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 what drives you!
Showcase Your Collaborative Spirit:Since we work in multidisciplinary teams, highlight any past experiences where you collaborated with others. Whether it’s working with computational scientists or presenting data, we love to see teamwork in action!
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 StudySmarter!
How to prepare for a job interview at VRS Recruitment
✨Know Your Biophysical 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 Collaborative Spirit
This role involves working closely with computational scientists, so highlight any past experiences where you've successfully collaborated in a multidisciplinary team. Share examples of how you communicated data effectively across teams.
✨Prepare for Technical Questions
Expect technical questions related to antibody characterisation and optimisation. Review key concepts and be prepared to explain your thought process when generating and analysing biophysical data.
✨Express Your Interest in AI/ML
Since the company is focused on AI/ML-driven antibody engineering, demonstrate your interest in this area. Discuss any relevant projects or knowledge you have about computational antibody engineering and how it can enhance biophysical characterisation.
