At a Glance
- Tasks: Support antibody discovery and drug development using cutting-edge computational techniques.
- Company: Join a forward-thinking biotech company focused on innovative drug discovery.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and innovation.
- Why this job: Make a real impact in drug discovery while collaborating with top scientists.
- Qualifications: PhD or Master's in relevant fields; experience in antibody design is a plus.
The predicted salary is between 30000 - 40000 € per year.
Relation is offering an outstanding opportunity for a Data Scientist to support computational drug discovery and drug‑ability efforts focused on antibodies. You will work closely with external deep learning‑driven antibody design platforms to critically evaluate generated candidates, extract insights, and integrate learnings into internal discovery strategies.
DAY TO DAY, YOU WILL
- Support computational antibody discovery and drug‑ability efforts across research programmes.
- Work with internal and external teams to evaluate and interpret computationally generated antibody candidates.
- Contribute computational and structural biology expertise to multidisciplinary project teams.
- Help extract insights from sequence, structural, and modelling data to inform discovery decisions.
- Collaborate with machine learning and experimental scientists to support ongoing research activities.
- Contribute to the development and refinement of internal computational discovery strategies and workflows.
PROFESSIONALLY, YOU WILL HAVE
- A PhD in computational biology, structural bioinformatics, computational structural biology, or a related field; or a Master’s degree with equivalent industry experience.
- 0–2 years of experience in biotech, pharma, or a relevant postdoctoral environment.
- Experience with computational approaches for antibody design and development.
- Antibody sequence and repertoire analysis.
- Structural modelling of antibodies and antibody‑antigen complexes.
- Computational protein engineering and affinity optimisation.
- Machine learning and generative modelling for antibody design.
- Developability and biophysical risk assessment.
- Knowledge of Python as a programming language.
- Understanding of the drug discovery process.
Bonus experience
- Exposure to real‑world drug discovery projects.
- Experience with additional therapeutic modalities such as small molecules, nucleic acids, or degraders.
- Exposure to machine learning.
PERSONALLY, YOU:
- Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams.
- Take ownership of your work, proactively seek opportunities to contribute, and enable others to do their best work.
- Communicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect.
- Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams.
- Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes.
Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age.
Data Scientist, Antibody Design (12-month FTC) in London employer: Relation
Relation is an exceptional employer that fosters a collaborative and innovative work culture, ideal for Data Scientists passionate about computational drug discovery. With a strong emphasis on professional growth, employees benefit from engaging in multidisciplinary projects and have access to cutting-edge resources in a supportive environment. Located in a vibrant area, the company offers unique opportunities to contribute to meaningful research while working alongside leading experts in the field.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist, Antibody Design (12-month FTC) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the biotech and pharma sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to computational biology and antibody design. 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 technical knowledge and soft skills. Be ready to discuss your experience with Python and machine learning, and think of examples that highlight your teamwork and problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist, Antibody Design (12-month FTC) 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 role, so don’t be shy about showcasing your expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about this opportunity and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any relevant projects, especially those involving machine learning or antibody design, make sure to mention them. We love seeing real-world applications of your skills, so share your successes!
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 from our team!
How to prepare for a job interview at Relation
✨Know Your Stuff
Make sure you brush up on your computational biology and antibody design knowledge. Be ready to discuss your experience with structural modelling and machine learning, as these are key areas for the role. Prepare examples of how you've applied these skills in past projects.
✨Show Your Collaborative Spirit
Since this role involves working with various teams, be prepared to talk about your experiences in a multidisciplinary environment. Highlight instances where you've successfully collaborated with others, especially in research settings, and how you contributed to shared goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's drug discovery process and their approach to antibody design. This shows your genuine interest in the role and helps you understand how you can fit into their strategies and workflows.
✨Demonstrate Your Problem-Solving Skills
Be ready to discuss challenges you've faced in previous roles and how you overcame them. Use specific examples that showcase your analytical thinking and ability to extract insights from complex data, which is crucial for this position.
