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- Tasks: Collaborate on long-term, data-driven research across various domains.
- Company: Innovative team focused on interdisciplinary research and data analysis.
- Benefits: Flexible collaboration, opportunity to shape research directions, and a supportive environment.
- Why this job: Make a real impact in healthcare, engineering, and AI through collaborative research.
- Qualifications: Experience in data-centric research and multi-disciplinary collaboration.
- Other info: Join a dynamic team valuing research philosophy over formal titles.
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 will 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 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
✨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’re always on the lookout for passionate researchers who want to collaborate long-term. By applying directly, you’ll ensure your application gets the attention it deserves and shows your commitment to joining our data-centric community.
We think you need these skills to ace nterdisciplinary Data-Driven Research Partner
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.
Highlight Your Experience: Make sure to detail your experience in relevant fields like healthcare, engineering, or computer science. We want to see how your background fits into our interdisciplinary approach, so don’t hold back!
Be Clear and Structured: Since we value structured research frameworks, ensure your application is well-organised. Use headings and bullet points to make it easy for us to see your qualifications and research agenda at a glance.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and keep everything in one place, making the process smoother for both of us!
How to prepare for a job interview at Fengkai Group Co., Limited
✨Know Your Research Inside Out
Make sure you’re well-versed in your own research projects and methodologies. Be ready to discuss how your work aligns with data-driven approaches and how it can contribute to long-term collaborations.
✨Showcase Your Multi-Disciplinary Experience
Highlight your experience across different fields, especially if you've published in various disciplines. This will demonstrate your ability to conduct interdisciplinary research and adapt to diverse research frameworks.
✨Prepare for Collaborative Discussions
Think about how you can initiate research directions based on shared data and methodologies. Be prepared to discuss potential collaborative projects and how you envision structuring publication planning.
✨Align with Their Research Philosophy
Understand the company’s focus on long-term collaboration over traditional employment. Be ready to articulate how your research philosophy aligns with theirs and how you can contribute to a structured, scalable writing process.
