At a Glance
- Tasks: Lead and contribute to quantitative studies in maternal and child health.
- Company: Join the University of Southampton, a leader in medical research and education.
- Benefits: Enjoy flexible working options, generous holiday allowance, and a supportive environment.
- Why this job: Make a real impact on public health while collaborating with diverse professionals.
- Qualifications: MSc or PhD in Statistics; experience in medical research is a plus.
- Other info: Hybrid working available; part-time applications considered.
The predicted salary is between 36000 - 60000 £ per year.
A position is available in the Faculty of Medicine at the University of Southampton for a Medical Statistician with an interest in preconception, maternal and child health. The position is based at the MRC Lifecourse Epidemiology Centre at Southampton General Hospital.
The post holder will lead and contribute to quantitative studies in relation to the world-leading NiPPeR trial (https://www.southampton.ac.uk/research/institutes-centres/nipper-study ). While keeping clear documentation they will organise data management, perform quality control on data, conduct statistical analysis, and develop statistical analysis plans.
The post holder will work closely with a range of colleagues and partners, including other statisticians, research fellows, computing staff, and research doctors and nurses. The post-holder will have the responsibility for communicating complex information effectively to clinical scientists and non-statisticians.
You will have an MSc or PhD in Statistics, and experience or an interest in medical or public health research. Previous experience of applying statistical methods to epidemiological studies, is desirable. You will possess excellent organisational, communication and computing skills, with the ability to work independently and have experience of effectively working with multi-disciplinary colleagues and partners.
This position is fixed term and will be offered full time (1.0 FTE) for 1 year in the first instance from the start date.
Hybrid working options can be discussed, and part-time applications will be considered. The post-holder will be expected to spend a minimum of 60% of their time based in the office at MRC LEC.
As a university we aim to create an environment where everyone can thrive and are proactive in fostering a culture of inclusion, respect and equality of opportunity. We believe that we can only truly meet our objectives if we are reflective of society, so we are passionate about creating a working environment in which you are free to bring your whole self to work. With a generous holiday allowance as well as additional university closure days we are committed to supporting our staff and students and open to a flexible working approach.
Apply by 11.59 pm GMT on the closing date. For assistance contact Recruitment on +44(0)2380 592750 or recruitment@soton.ac.uk quoting the job number.
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Medical Statistician employer: University of South Hampton
Contact Detail:
University of South Hampton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Medical Statistician
✨Tip Number 1
Familiarise yourself with the NiPPeR trial and its objectives. Understanding the specifics of this world-leading study will not only help you in interviews but also demonstrate your genuine interest in the role and its impact on maternal and child health.
✨Tip Number 2
Network with professionals in the field of medical statistics and epidemiology. Attend relevant conferences or webinars, and connect with current employees at the University of Southampton on platforms like LinkedIn to gain insights into the work culture and expectations.
✨Tip Number 3
Brush up on your communication skills, especially in conveying complex statistical concepts to non-statisticians. Consider practising with peers or mentors who can provide feedback on your ability to simplify intricate information.
✨Tip Number 4
Prepare to discuss your experience with data management and quality control during the interview. Be ready to share specific examples of how you've successfully handled data in previous roles, as this will be crucial for the position.
We think you need these skills to ace Medical Statistician
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your MSc or PhD in Statistics and any relevant experience in medical or public health research. Emphasise your skills in statistical methods, data management, and your ability to work with multi-disciplinary teams.
Craft a Strong Cover Letter: In your cover letter, express your interest in the position and the NiPPeR trial. Discuss how your background aligns with the responsibilities of the role, particularly your experience in conducting statistical analysis and communicating complex information.
Showcase Relevant Experience: If you have previous experience applying statistical methods to epidemiological studies, make sure to detail this in your application. Provide specific examples of projects you've worked on and the impact of your contributions.
Highlight Communication Skills: Since the role requires effective communication with clinical scientists and non-statisticians, include examples in your application that demonstrate your ability to convey complex information clearly and effectively.
How to prepare for a job interview at University of South Hampton
✨Showcase Your Statistical Expertise
Be prepared to discuss your experience with statistical methods, particularly in relation to epidemiological studies. Highlight any relevant projects or research you've been involved in, especially those that align with maternal and child health.
✨Communicate Complex Information Clearly
Since the role involves communicating with clinical scientists and non-statisticians, practice explaining complex statistical concepts in simple terms. Use examples from your past experiences to demonstrate your ability to bridge the gap between statistics and practical application.
✨Demonstrate Organisational Skills
The position requires excellent organisational skills for data management and quality control. Be ready to share specific strategies you use to keep your work organised, such as tools or methods for tracking data and ensuring accuracy.
✨Emphasise Team Collaboration
This role involves working closely with a multi-disciplinary team. Prepare to discuss your experience collaborating with colleagues from different backgrounds, and provide examples of how you’ve successfully worked in a team setting to achieve common goals.