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For Companies At a Glance
- Tasks: Collaborate on long-term, data-driven research across various domains.
- Company: Innovative research team focused on interdisciplinary collaboration.
- Benefits: Flexible collaboration, opportunity to shape research directions, and impactful publications.
- Why this job: Join a dynamic team and contribute to meaningful, large-scale research projects.
- Qualifications: Experience in data analysis, multi-disciplinary research, and structured research frameworks.
- Other info: Ideal for those passionate about data-centric, long-term research collaboration.
The predicted salary is between 36000 - 60000 £ per year.
We collaborate long-term with teams engaged in large-scale, data-driven research. Our research domains include, but are not limited to:
- Healthcare and real-world data (RWD)
- Engineering and applied modeling
- Computer science and artificial intelligence
- Social health
Our work is data-centric and research-oriented. We do not operate a single-paper writing model.
Who We Are Looking For
We are interested in connecting with research leads or small research teams that already operate within a structured research framework.
Fit Criteria
You be a good fit if you:
- have experience in (medical, engineering, computational, or multi-source data)
- maintain topic pipelines or long-term research agendas, rather than ad-hoc writing
- conduct multi-disciplinary research based on shared data or methodological frameworks
- have published across different disciplines or journal categories
How Collaboration Works (Important)
This is not a traditional employment role and not an outsourcing arrangement. We are looking for long-term, research-level collaboration, where:
- research directions are initiated based on data and methodology
- publication planning is structured and scalable
- writing begins only after research directions are clearly defined
Relevant Background (Not Mandatory)
Relevant background may include:
- (healthcare, engineering, computer science, or interdisciplinary)
- experience with large-scale data analysis, statistical modeling, or machine learning
- experience leading or coordinating research teams
Our Approach
We value alignment in research philosophy more than formal titles or resumes. If your work is data-centric, system-oriented, and focused on long-term research collaboration, we would be glad to start a conversation.
nterdisciplinary Data-Driven Research Partner in London employer: Fengkai Group Co., Limited
Contact Detail:
Fengkai Group Co., Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land nterdisciplinary Data-Driven Research Partner in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the research community and let them know you're on the lookout for opportunities. Attend conferences or webinars related to data-driven research to meet potential collaborators and showcase your expertise.
✨Tip Number 2
Showcase your work! Create a portfolio that highlights your previous research projects, publications, and any relevant data analysis you've done. This will give potential collaborators a clear idea of what you bring to the table.
✨Tip Number 3
Be proactive! Don’t wait for job postings to come to you. Reach out directly to organisations or teams that align with your research interests. A well-crafted email expressing your interest in collaboration can open doors you didn’t even know existed.
✨Tip Number 4
Apply through our website! We love seeing passionate researchers who are eager to collaborate. Make sure to submit your application through our platform so we can connect and explore how we can work together on long-term research projects.
We think you need these skills to ace nterdisciplinary Data-Driven Research Partner in London
Some tips for your application 🫡
Show Your Research Passion: When writing your application, let your enthusiasm for data-driven research shine through. Share specific examples of your past projects and how they align with our focus on long-term collaboration.
Be Clear and Concise: We appreciate clarity! Make sure your application is well-structured and to the point. Highlight your relevant experience in a way that’s easy for us to digest, focusing on your multi-disciplinary research and publication history.
Tailor Your Application: Don’t just send a generic application. Tailor it to reflect how your background fits with our research domains like healthcare or engineering. Show us you understand what we do and how you can contribute!
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 the right opportunities. Plus, it’s super easy!
How to prepare for a job interview at Fengkai Group Co., Limited
✨Know Your Research Inside Out
Before the interview, dive deep into your past research projects. Be ready to discuss your methodologies, findings, and how they align with the data-centric approach of the company. This shows you’re not just familiar with your work but can also articulate its relevance to their long-term collaboration goals.
✨Highlight Interdisciplinary Experience
Since the role involves multi-disciplinary research, prepare examples that showcase your ability to collaborate across different fields. Talk about how you've successfully integrated insights from various domains in your previous projects, as this will resonate well with their focus on diverse research frameworks.
✨Discuss Long-Term Research Agendas
Be ready to share your vision for maintaining topic pipelines or long-term research agendas. Discuss how you plan to initiate research directions based on data and methodology, which aligns perfectly with their structured publication planning. This demonstrates your commitment to a collaborative research environment.
✨Prepare Questions About Their Research Philosophy
Show genuine interest by preparing thoughtful questions about their research philosophy and collaboration model. Ask how they envision the integration of different disciplines in their projects. This not only shows your enthusiasm but also helps you gauge if their approach aligns with your own research values.
