At a Glance
- Tasks: Conduct groundbreaking research in AI for biology and collaborate with top-tier partners.
- Company: Join a mission-driven team at the forefront of AI and biology innovation.
- Benefits: Enjoy hybrid work flexibility, competitive salary, equity options, and support for ongoing learning.
- Why this job: Make a real impact in interdisciplinary research while working with leading institutions like MIT and DeepMind.
- Qualifications: MSc or PhD in AI, ML, or Computational Biology with relevant research experience.
- Other info: If you meet 60-70% of the requirements, we want to hear from you!
The predicted salary is between 28800 - 48000 £ per year.
Excited about shaping the future of AI in biology through foundational research?
Qualifications:
- MSc and 2-3 years of experience or PhD in AI, ML, Computational Biology, or related fields.
- Proven impactful research with publications in top journals and conferences.
- Experience leading research projects or mentoring junior scientists (for senior roles).
- Background in generative models (e.g., diffusion, Bayesian Flow Networks) or multimodal ML.
Responsibilities:
- Conduct cutting-edge research in multimodal generative models for biological applications.
- Collaborate with internal researchers and strategic partners to achieve research goals.
- Present and publish findings in top-tier conferences, journals, and industry events.
- Contribute to fostering a collaborative, innovative, and knowledge-sharing research environment.
- Participate in cross-functional projects with applied BioAI and external collaborators such as NVIDIA, Oxford, Cambridge, MIT, DeepMind.
Offer a competitive salary and equity options. Provide hybrid work flexibility. Support publications, conferences, and ongoing learning opportunities. Address impactful, interdisciplinary problems at the AI-biology frontier. Join a collaborative, mission-driven team focused on cutting-edge research. If you meet 60-70% of the requirements, we would love to hear from you.
Research Scientist employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist
✨Tip Number 1
Network with professionals in the AI and biology fields. Attend conferences, webinars, or workshops where you can meet researchers and industry leaders. This can help you gain insights into the latest trends and potentially lead to referrals.
✨Tip Number 2
Engage with relevant online communities and forums. Platforms like LinkedIn, ResearchGate, or specific AI and biology groups can be great places to share your work, ask questions, and connect with others who might be hiring.
✨Tip Number 3
Showcase your research experience and publications effectively. Be prepared to discuss your past projects and their impact during interviews. Highlight any leadership roles or mentoring experiences to demonstrate your capability in guiding junior scientists.
✨Tip Number 4
Stay updated on the latest advancements in multimodal generative models and their applications in biology. Familiarise yourself with key papers and breakthroughs in the field, as this knowledge will be crucial during discussions with potential employers.
We think you need these skills to ace Research Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI, ML, and Computational Biology. Emphasise any publications in top journals and your role in leading research projects or mentoring.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for AI in biology. Mention specific projects or experiences that align with the job description, particularly in multimodal generative models.
Highlight Collaborative Experience: Since collaboration is key in this role, detail any past experiences where you worked with internal teams or external partners. This could include joint research projects or conferences.
Showcase Your Research Impact: In your application, clearly outline the impact of your previous research. Include metrics or outcomes from your work that demonstrate your contributions to the field and how they relate to the responsibilities of the role.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Research Impact
Be prepared to discuss your previous research projects in detail, especially those that led to publications in top journals. Highlight the impact of your work and how it aligns with the company's focus on AI in biology.
✨Demonstrate Collaboration Skills
Since the role involves working with internal researchers and external partners, be ready to share examples of successful collaborations. Discuss how you’ve contributed to a team environment and mentored junior scientists if applicable.
✨Familiarise Yourself with Generative Models
Brush up on your knowledge of generative models, particularly diffusion models and Bayesian Flow Networks. Be prepared to discuss how these concepts can be applied to biological applications, as this will show your technical expertise.
✨Prepare for Technical Questions
Expect technical questions related to AI, ML, and computational biology. Review key concepts and be ready to solve problems on the spot, demonstrating your analytical thinking and problem-solving skills.