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- Tasks: Join a team to develop digital innovations for patient-centric microsampling using AI and machine learning.
- Company: Newcastle Research & Innovation Institute is a leading research hub in Singapore focused on health data science.
- Benefits: Enjoy generous holidays, great pension schemes, and health initiatives while working full-time.
- Why this job: Make a real impact in healthcare by collaborating with top pharmaceutical companies and advancing digital solutions.
- Qualifications: PhD in Computer Science or related field; strong programming skills in Python, R, or Java required.
- Other info: This is a fixed-term role for 24 months, perfect for passionate individuals eager to innovate.
The predicted salary is between 30000 - 40000 £ per year.
Research Associate in Heath Data Science
Join to apply for the Research Associate in Heath Data Science role at Newcastle Research & Innovation Institute in Singapore (NewRIIS)
Research Associate in Heath Data Science
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Join to apply for the Research Associate in Heath Data Science role at Newcastle Research & Innovation Institute in Singapore (NewRIIS)
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Research Associate in Heath Data Science
Requisition ID: 28254
Location:
Newcastle, GB
Contract Type: Fixed Term
Working Pattern: Full Time
Posted Date: 10 Jul 2025
Salary: £35,116.00 – £45,413.00 per annum
Newcastle University is a great place to work, with excellent benefits. We have a generous holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you.
Closing Date: 7 August 2025
The Role
We are delighted to be seeking a motivated individual to join our project, in the School of Computing at Newcastle. The aim of the project is to develop digital innovations for patient-centric microsampling. As part of the technical development, you will be working closely with a consortium of academic and industry partners across the Europe and US (including multinational pharmaceutical companies such as Pfizer, Eli Lilly, and GSK) to ensure the delivery of data and digital solutions for collecting and analysing small-volume blood samples.
You will research and design advanced machine learning, AI and statistical methods to process and analyse data generated from microsampling, which may encompass concentrations of analytes, demographic information, among others.
You will be expected to take the lead on addressing the following project objectives:
- Engage with research and industrial partners and wider stakeholders to identify business needs, challenges and new opportunities for digital innovations in microsampling, and effectively translate them into actionable use cases.
- Develop responsible AI and statistical solutions tailored to the identified digital use cases, laying the foundation for future research and the broader adoption of microsampling.
- Implement methods to enhance the trustworthiness and robustness of analytical results and predictive outcomes for improved user acceptance.
We are seeking a passionate, highly motivated individual who has demonstrable communication skills and has the ability to produce high quality academic and experimental outputs under the direction of the Principal Investigator (PI). You should have excellent interpersonal skills, with an aptitude for building meaningful working relationships with our internal and external stakeholders.
This position is available immediately on a full-time, fixed-term basis for a length of 24 months. For all informal enquiries, please contact Dr Wanqing Zhao (Wanqing.Zhao@newcastle.ac.uk).
For more information about the School of Computing, please click here.
For more information about our research, please click here.
To apply, please complete an online application and upload a plain text copy of your CV and covering letter only. In your covering letter, you should evidence how you meet or exceed the essential and desirable requirements for the role. Please note, any other ‘Additional Document’ you upload may not be received by the reviewing panel.
As part of our commitment to career development for research staff, the University has developed 3 levels of research role profiles. These profiles set out firstly the generic competences and responsibilities expected of role holders at each level and secondly the general qualifications and experiences needed for entry at a particular level.
Key Accountabilities
- Understand and convey material of a specialist or highly technical nature to the team or group of people through presentations and discussions that leads to the presentation of research papers in conferences and publications.
- Prepare and deliver presentations on research outputs/activities to audiences which may include: research sponsors, academic and non-academic audiences.
- Publish high quality outputs, including papers for submission to peer reviewed journals and papers for presentation at conferences and workshops under the direction of the Principal Investigator or Grant-holder
- Assist with the development of research objectives and proposals.
- Conduct individual and collaborative research projects under the direction of the Principal Investigator or Grant-holder.
- Work with the Principal Investigator or Grant-holder and other colleagues in the research group, as appropriate, to identify areas for research, develop new research methods and extend the research portfolio.
- Deal with problems that may affect the achievement of research objectives and deadlines by discussing with the Principal Investigator or Grant-holder and offering creative or innovative solutions.
- Liaise with research colleagues and make internal and external contacts to develop knowledge and understanding to form relationships for future research collaboration.
- Plan and manage own research activity, research resources in collaboration with others and contribute to the planning of research projects
- Deliver training in research techniques/approaches to peers, visitors and students as appropriate.
- Be involved in student supervision, as appropriate, and assist with the assessment of the knowledge of students.
- Contribute to fostering a collegial and respectful working environment which is inclusive and welcoming and where everyone is treated fairly with dignity and respect.
- Engage in wider citizenship to support the department and wider discipline.
- Engage in continuing professional development by participation in the undergraduate or postgraduate teaching programmes or by membership of departmental committees, etc. and by attending relevant training and development courses.
You will be working on a research project which will be led by another colleague. Whilst this means that you will not be carrying out independent research in your own right, the expectation is that you will contribute to the advancement of the project, through the development of your own research ideas/adaptation and development of research protocols.
The Person
Essential:
Knowledge, Skills and Experience
- Evidence of being able to conduct high-quality research in one or more areas of Data Science, AI, Machine Learning, Health Informatics, and Digital Health.
- Publication record in peer-reviewed journals, commensurate with stage of career.
- A track record of presenting research at conferences, symposia, or meetings, commensurate with stage of career.
- Good programming skills in Python, R, Java, or Matlab.
Desirable:
- Experience of research in analysing healthcare data (e.g. EHRs).
- Evidence of collaboration with industries, policy makers, or institutions.
- Demonstrable ability to develop research proposals and designs in collaboration with other academics or industry partners.
- Experience with software delivery to a research sponsor.
Attributes and Behaviour
Essential:
- Demonstrable ability to work cooperatively as part of a team, including participating in research meetings.
- Ability to work independently on own initiative and to meet deadlines.
- Excellent interpersonal and communication skills.
Desirable:
- Demonstrable commitment to the values of equality and diversity in all aspects of your work.
- Ability to set research goals, be self-motivated and proactive.
- A keen eye for visual presentation, software design, and in writing clear, concise, elegant code.
- Strong interest in interdisciplinary research.
Qualifications
Essential:
- A PhD awarded (or nearing completion) in Computer Science, Engineering, Mathematics/Statistics or a closely related subject.
Newcastle University is a global University where everyone is treated with dignity and respect. As a University of Sanctuary, we aim to provide a welcoming place of safety for all, offering opportunities to people fleeing violence and persecution.
We are committed to being a fully inclusive university which actively recruits, supports and retains colleagues from all sectors of society. We value diversity as well as celebrate, support and thrive on the contributions of all of our employees and the communities they represent. We are proud to be an equal opportunities employer and encourage applications from individuals who can complement our existing teams, we believe that success is built on having teams whose backgrounds and experiences reflect the diversity of our university and student population.
At Newcastle University we hold a silver Athena Swan award in recognition of our good employment practices for the advancement of gender equality. We also hold a Race Equality Charter Bronze award in recognition of our work towards tackling race inequality in higher education REC. We are a Disability Confident employer and will offer an interview to disabled applicants who meet the essential criteria for the role as part of the offer and interview scheme.
In addition, we are a member of the Euraxess initiative supporting researchers in Europe.
Requisition ID: 28254
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Research Associate in Heath Data Science employer: Newcastle Research & Innovation Institute in Singapore (NewRIIS)
Contact Detail:
Newcastle Research & Innovation Institute in Singapore (NewRIIS) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate in Heath Data Science
✨Tip Number 1
Network with professionals in the health data science field, especially those connected to Newcastle University or the Newcastle Research & Innovation Institute. Attend relevant conferences or webinars where you can meet potential colleagues and learn more about ongoing projects.
✨Tip Number 2
Familiarise yourself with the latest advancements in AI and machine learning as they pertain to health informatics. Being able to discuss recent developments or case studies during interviews can demonstrate your passion and knowledge in the field.
✨Tip Number 3
Engage with the research outputs from Newcastle University, particularly in the School of Computing. Understanding their current projects and methodologies will help you align your skills and experiences with their needs during discussions.
✨Tip Number 4
Prepare to showcase your programming skills, particularly in Python, R, Java, or Matlab. Consider working on a small project or contributing to open-source initiatives that highlight your coding abilities and understanding of data analysis in health contexts.
We think you need these skills to ace Research Associate in Heath Data Science
Some tips for your application 🫡
Tailor Your Cover Letter: Make sure your cover letter specifically addresses how you meet the essential and desirable requirements listed in the job description. Highlight your experience in Data Science, AI, and Machine Learning, and provide examples of your past work that align with the role.
Showcase Your Research Experience: In your CV, emphasise your research experience, particularly any publications or presentations at conferences. This is crucial for a Research Associate position, so make sure to detail your contributions and outcomes.
Highlight Technical Skills: Clearly list your programming skills in Python, R, Java, or Matlab in your CV. If you have experience with healthcare data analysis, be sure to mention it as this is a desirable quality for the role.
Proofread Your Application: Before submitting, thoroughly proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are important in research roles.
How to prepare for a job interview at Newcastle Research & Innovation Institute in Singapore (NewRIIS)
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to Data Science, AI, and Health Informatics. Highlight any publications or presentations you've made, as this demonstrates your ability to contribute to high-quality academic outputs.
✨Demonstrate Technical Proficiency
Make sure to brush up on your programming skills in Python, R, Java, or Matlab. Be ready to discuss specific examples of how you've used these languages in your research, particularly in data analysis or machine learning applications.
✨Communicate Effectively
Since the role involves engaging with various stakeholders, practice explaining complex technical concepts in simple terms. This will show your ability to convey specialist material effectively, which is crucial for collaboration with both academic and industry partners.
✨Prepare Questions for the Interviewers
Think of insightful questions to ask about the project objectives and the team dynamics. This not only shows your interest in the role but also helps you gauge if the position aligns with your career goals and values.
