At a Glance
- Tasks: Evaluate and enhance AI systems in biological research, providing structured feedback.
- Company: Obsidian, a leader in biotech innovation and AI integration.
- Benefits: Competitive pay, performance bonuses, and project-based flexibility.
- Other info: Exciting project-based work with opportunities for professional growth.
- Why this job: Join a cutting-edge team and shape the future of biotech with AI.
- Qualifications: Strong background in genomics, proteomics, or molecular biology; advanced degree preferred.
The predicted salary is between 50000 - 65000 £ per year.
Obsidian is seeking experienced biotechnology research scientists to engage in the evaluation and enhancement of AI systems' performance in biological research. Applicants should have a strong background in genomics, proteomics, or molecular biology, ideally with an advanced degree.
The role involves assessing AI-generated outputs, creating realistic research scenarios, and providing structured feedback on methodologies. Competitive task completion pay and performance bonuses are available based on quality and throughput.
Genomics & Biotech AI Research Scientist - Project-Based in London employer: Obsidian
At Obsidian, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to push the boundaries of biotechnology and AI. Located in a vibrant research hub, we offer competitive pay, performance bonuses, and ample opportunities for professional growth, ensuring that our team members are not only rewarded for their contributions but also supported in their career development. Join us to be part of a forward-thinking organisation where your expertise can make a meaningful impact in the field of biological research.
StudySmarter Expert Advice🤫
We think this is how you could land Genomics & Biotech AI Research Scientist - Project-Based in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the genomics and biotech fields on platforms like LinkedIn. We can leverage our connections to get insights about the company and even potential referrals.
✨Tip Number 2
Prepare for those interviews! Brush up on your knowledge of AI systems in biological research. We should be ready to discuss how our expertise in genomics and molecular biology can enhance AI performance.
✨Tip Number 3
Showcase your projects! If you've worked on relevant research or have experience with AI in biotech, make sure to highlight that. We can create a portfolio that demonstrates our skills and thought processes.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We can tailor our submissions to align with the specific needs of the role, making it easier for hiring managers to see our fit.
We think you need these skills to ace Genomics & Biotech AI Research Scientist - Project-Based in London
Some tips for your application 🫡
Show Off Your Expertise:Make sure to highlight your background in genomics, proteomics, or molecular biology. We want to see how your advanced degree and experience can contribute to enhancing AI systems in biological research.
Be Specific About Your Experience:When detailing your past projects, focus on specific examples where you've assessed AI-generated outputs or provided feedback on methodologies. This helps us understand your hands-on experience and how it aligns with the role.
Tailor Your Application:Don’t just send a generic application! We love seeing tailored applications that reflect your understanding of our needs. Make sure to connect your skills and experiences directly to the job description.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Obsidian
✨Know Your Science
Make sure you brush up on your genomics, proteomics, and molecular biology knowledge. Be ready to discuss specific projects you've worked on and how they relate to AI in biological research. This will show that you not only understand the science but can also apply it in a tech-driven context.
✨Familiarise with AI Applications
Since the role involves evaluating AI systems, it's crucial to understand how AI is currently being used in biotech. Research recent advancements and be prepared to discuss how you would assess AI-generated outputs and improve methodologies based on your findings.
✨Prepare Realistic Scenarios
Think of some realistic research scenarios you could create for AI evaluation. This shows your ability to think critically and creatively about the intersection of AI and biological research, which is key for this position.
✨Feedback is Key
Be ready to talk about how you provide structured feedback on methodologies. Think of examples from your past experiences where your feedback led to improvements. This demonstrates your collaborative spirit and commitment to quality, which are essential for success in this role.
