At a Glance
- Tasks: Join us as an Antibody Research Scientist to innovate in antibody purification and data analysis.
- Company: Be part of a global biopharmaceutical company dedicated to improving lives through advanced therapies.
- Benefits: Competitive pay, opportunity to work with cutting-edge technology, and a chance to make a real impact.
- Why this job: Engage in exciting projects, collaborate with diverse teams, and contribute to groundbreaking research.
- Qualifications: Experience in mammalian cell culture, data management, and proficiency with purification systems required.
- Other info: Must have the right to work in the UK; DBS check may be needed.
The predicted salary is between 43000 - 60000 £ per year.
CK Group are recruiting for a Antibody Research Scientist, to join a global pharmaceutical company, based in Slough, on a contract basis initially for 12 months.
Salary:
PAYE £20.68 per hour or UMB £28.16 per hour.
Antibody Research Scientist Role:
- Perform small-scale transient mammalian transfections and purify monoclonal antibodies using automated techniques.
- Troubleshoot purification and quality issues, interpret data, and propose creative solutions to ensure the delivery of high-quality reagents.
- Lead and support the development, optimisation, and implementation of automated/robotic high-throughput platforms for antibody expression and purification.
- Apply data analysis and visualisation tools to improve workflows and troubleshoot bottlenecks.
- Collaborate with cross-functional teams to ensure timely communication of progress, issues, and solutions.
Your Background :
- Competence in using data management systems, including Excel, logistics databases, and sample tracking systems.
- Expertise in mammalian cell culture (CHO, HEK), including aseptic techniques and maintaining cell stocks.
- Proficiency with antibody/protein purification systems such as AKTA and Unicorn software.
- Familiarity with automation and robotics for high-throughput purification workflows.
- Interest in or experience with machine learning software for data analysis and optimisation of processes.
Company:
Our client is a global biopharmaceutical company, focused on creating value for people living with severe diseases in immunology and neurology now and into the future.
Location:
This role is based at our client’s site in Slough.
Apply:
It is essential that applicants hold entitlement to work in the UK. Please quote reference 117 313.
Please note:
This role may be subject to a satisfactory basic Disclosure and Barring Service (DBS) check.
If this position isn't suitable but you are looking for a new role, or if you are interested in seeing what opportunities are out there, head over to our LinkedIn page (cka-group) and follow us to see our latest jobs and company news.
Antibody Research Scientist employer: CK Group
Contact Detail:
CK Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Antibody Research Scientist
✨Tip Number 1
Make sure to highlight your experience with mammalian cell culture and purification systems in your conversations. Discuss specific projects where you successfully implemented automated techniques, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Familiarize yourself with the latest trends in machine learning applications for data analysis in antibody research. Being able to discuss how you've used or plan to use these tools can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the biopharmaceutical industry, especially those who work in antibody research. Attend relevant conferences or webinars to connect with potential colleagues and learn more about the company culture.
✨Tip Number 4
Prepare to discuss your problem-solving skills during the interview. Think of examples where you identified bottlenecks in workflows and how you creatively resolved them, as this aligns with the role's requirements.
We think you need these skills to ace Antibody Research Scientist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Antibody Research Scientist position. Highlight key responsibilities and required skills, such as expertise in mammalian cell culture and proficiency with antibody purification systems.
Tailor Your CV: Customize your CV to reflect your relevant experience and skills that match the job requirements. Emphasize your competence in data management systems and any experience with automation and robotics.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for the role and the company. Mention specific experiences that demonstrate your ability to troubleshoot purification issues and collaborate with cross-functional teams.
Highlight Relevant Projects: If you have worked on projects involving machine learning software for data analysis or high-throughput purification workflows, be sure to include these in your application. This will show your innovative approach and technical expertise.
How to prepare for a job interview at CK Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with mammalian cell culture and antibody purification systems. Highlight specific techniques you've used, such as AKTA and Unicorn software, and be ready to explain how you troubleshoot issues in these processes.
✨Demonstrate Data Management Proficiency
Since the role requires competence in data management systems, make sure to mention your experience with Excel and any logistics databases. Discuss how you've utilized these tools to improve workflows or solve problems in previous projects.
✨Emphasize Collaboration Experience
This position involves working with cross-functional teams, so share examples of how you've successfully collaborated with others in past roles. Highlight your communication skills and how you ensure timely updates on progress and issues.
✨Express Interest in Automation and Machine Learning
Given the focus on high-throughput platforms and data analysis, express your interest or experience with automation and machine learning software. Discuss any relevant projects where you've applied these technologies to optimize processes.