At a Glance
- Tasks: Develop AI and machine learning technologies for antibody drug discovery.
- Company: Leading biotech firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Join a dynamic team and work in a fast-paced, innovative environment.
- Why this job: Make a real difference in patients' lives through cutting-edge science.
- Qualifications: PhD in antibodies or protein design with 2+ years of industry experience.
The predicted salary is between 60000 - 80000 € per year.
We are looking for a top-class candidate who is passionate about science, self-motivated, with excellent team working skills to join our Computer-Aided Drug Design (CADD) team based in our UK offices in Slough (moving to our modern new site in Windlesham in 2027).
About The Role
You will develop and apply artificial intelligence (AI), machine learning technologies, and physics-based methods in antibody drug discovery. The successful candidate will have a solid understanding of antibody drug discovery, computer-aided drug design, and will apply AI and advanced computational algorithms to address challenges in modern antibody discovery.
Who You’ll Work With
You will work in the global CADD team alongside multidisciplinary project teams from Antibody Discovery and Development, Structural Biology, Immunology, Data Science and IT.
What You’ll Do
- Apply modern computational methodologies to design novel antibodies and related protein formats that have the potential to change patients’ lives.
- Collaborate proactively and effectively with colleagues across multiple departments, as well as with external partners.
- Establish a high level of innovation to proactively implement scientific and technological advancement to drive drug discovery effectiveness and efficiency, especially at the intersection of AI/machine learning and molecular design.
- Keep pace with the fast-changing environment with recommendations for new technologies, ways of working, and driving new collaborations.
- Define and monitor progress across projects, presenting regularly on the progress, impact and delivery to multi-disciplinary teams.
- Represent functional teams and influencing scientific and operational strategy, resource use and project execution.
- Offer constructive challenge and champion the continuous application and improvement of CADD methodologies to enhance the drug discovery process.
Requirements
- A PhD (or equivalent) focused on antibodies or protein design with a strong emphasis on applying or developing computational methods.
- Industrial or post-doctoral experience in the field of computational antibody or protein design (2+ years).
- Deep understanding of modern AI based technologies such as co-folding, applied to both structure prediction and property prediction.
- Expertise in structure-based and sequence-based molecular design, including generative AI methodologies applied to antibody or general protein complexes.
- Knowledge of modern antibody discovery processes and technologies.
- Strong track record of scientific publications and patents.
- Able to communicate effectively in English, both verbally and in writing, and skilled in communicating science across a wide variety of disciplines.
UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable laws.
Senior Scientist - CADD, Digital Antibody Design in Slough employer: UCB
UCB is an exceptional employer that fosters a collaborative and innovative work culture, particularly within our Computer-Aided Drug Design (CADD) team in Slough. With a strong emphasis on employee growth and development, we offer opportunities to engage with cutting-edge AI technologies and multidisciplinary teams, all while contributing to meaningful advancements in antibody drug discovery. Our commitment to diversity and inclusion ensures that every voice is heard, making UCB a rewarding place to build a career in science.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Scientist - CADD, Digital Antibody Design in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and engage with professionals on platforms like LinkedIn. We can’t stress enough how important it is to make those personal connections that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your expertise in AI and computational methods. We recommend doing mock interviews with friends or mentors to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your passion for science during interviews! Share your experiences and projects related to antibody drug discovery and CADD. We want to see your enthusiasm and how you can contribute to our innovative team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Scientist - CADD, Digital Antibody Design in Slough
Some tips for your application 🫡
Show Your Passion for Science:We want to see your enthusiasm for science shine through in your application. Share your journey, what excites you about antibody drug discovery, and how you’ve applied your skills in real-world scenarios.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to highlight your experience in CADD and AI technologies. We love seeing how your background aligns with our needs, so don’t hold back on showcasing relevant projects!
Highlight Teamwork Skills:Since collaboration is key in our global CADD team, emphasise your teamwork experiences. Share examples of how you’ve worked effectively with multidisciplinary teams and contributed to successful outcomes.
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 in our innovative environment.
How to prepare for a job interview at UCB
✨Know Your Science
Make sure you brush up on the latest advancements in antibody drug discovery and computational methods. Be ready to discuss how AI and machine learning can be applied in this field, as well as any relevant projects you've worked on.
✨Show Your Collaborative Spirit
Since you'll be working with multidisciplinary teams, highlight your teamwork skills. Prepare examples of past collaborations and how you effectively communicated complex scientific concepts to colleagues from different backgrounds.
✨Stay Ahead of the Curve
Demonstrate your knowledge of emerging technologies and methodologies in CADD. Be prepared to suggest innovative ideas or improvements that could enhance drug discovery processes, showing that you're proactive and forward-thinking.
✨Present with Confidence
You'll need to present progress and impact regularly, so practice your presentation skills. Use clear visuals and concise language to explain your work, and be ready to answer questions about your methodologies and findings.
