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- Tasks: Join us to develop innovative methods using Electronic Health Records to improve patient care.
- Company: Be part of the MRC Biostatistics Unit at the prestigious University of Cambridge.
- Benefits: Enjoy flexible working arrangements and a supportive, inclusive environment.
- Why this job: Make a real impact in healthcare while collaborating with top professionals in a renowned hospital.
- Qualifications: PhD in a quantitative field is required; experience with biostatistics is a plus.
- Other info: This is a fixed-term position for 2 years, with opportunities for part-time work.
The predicted salary is between 28800 - 48000 £ per year.
This is an exciting opportunity for an ambitious post-doctoral research associate to join the MRC Biostatistics Unit to carry out research within the Unit's Precision Medicine theme.
The post-holder will focus on developing novel methodology and applying it to answer clinically-relevant questions, with the aim of improving scientific understanding and/or prediction for hospital patients using large, rich, raw observational clinical informatics datasets extracted from Electronic Health Records (EHR).
A particular focus of this position will be EHR data from Addenbrooke's hospital, an internationally-renowned teaching hospital in Cambridge. In 2014, it was the first UK hospital to implement Epic's fully electronic health record eHospital system. This provides a single, integrated EHR, with real-time information recorded at the patient's bedside, including observations, blood tests, procedures, and medications.
We have several ongoing and emerging collaborations with clinicians, clinical scientists, and other health care professionals at Addenbrooke's hospital seeking to improve scientific understanding of their patients and/or prediction of their clinical trajectory to support clinical decision making.
The post holder will have the opportunity to take a central role in shaping and refining research questions; extracting and appraising relevant data from the EHR dataset; identifying, developing, and applying appropriate analysis methods and tools for answering our collaborators' scientific questions.
You will have, or be close to completing, a PhD in a strongly quantitative discipline, such as statistics. Prior experience of either applying or developing methodology relating to high-dimensional, structured data in a biostatistical setting is desirable but not essential. Relevant methods include dynamic prediction, dynamic treatment regimes, and time-to-event analyses. Experience of Bayesian statistics is also helpful but not essential. You will have strong computational skills, particularly using R.
Fixed-term: The funds for this post are available for 2 years in the first instance. Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will initially be appointed as a Research Assistant (Grade 5, Point 38 £30,497) moving to Research Associate (Grade 7) upon confirmation of your PhD award.
We welcome applications from individuals who wish to be considered for part-time working or other flexible working arrangements.
Closing date for applications is: 3rd January 2022. Interviews are likely to take place early January 2022.
Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.
Please quote reference SL29277 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity, and inclusion and encourages applications from all sections of society. The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
Research Associate – Hospital Electronic Health Record data – MRC Biostatistics Unit, Universit[...] employer: The International Society for Bayesian Analysis
Contact Detail:
The International Society for Bayesian Analysis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate – Hospital Electronic Health Record data – MRC Biostatistics Unit, Universit[...]
✨Tip Number 1
Familiarise yourself with the specific methodologies mentioned in the job description, such as dynamic prediction and time-to-event analyses. Being able to discuss these concepts confidently during your interview will demonstrate your understanding and enthusiasm for the role.
✨Tip Number 2
Network with professionals in the field of biostatistics and precision medicine, especially those connected to Addenbrooke's hospital. Engaging with them on platforms like LinkedIn can provide insights into current research trends and may even lead to valuable referrals.
✨Tip Number 3
Prepare to discuss your computational skills, particularly in R, as this is a key requirement for the position. Consider working on a small project or analysis that showcases your ability to handle high-dimensional data, which you can present during the interview.
✨Tip Number 4
Research the MRC Biostatistics Unit and its ongoing collaborations. Understanding their current projects and how your skills can contribute will help you articulate why you're a great fit for the team during your interview.
We think you need these skills to ace Research Associate – Hospital Electronic Health Record data – MRC Biostatistics Unit, Universit[...]
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the key responsibilities and required qualifications. Tailor your application to highlight how your skills and experiences align with the specific needs of the Research Associate position.
Craft a Compelling Cover Letter: Your cover letter should clearly outline how you meet the criteria for the role. Discuss your relevant experience, particularly in quantitative disciplines and any familiarity with Electronic Health Records or biostatistical methods. Make it personal and express your enthusiasm for the position.
Highlight Relevant Skills: In your CV, emphasise your computational skills, especially in R, and any experience with high-dimensional data analysis. Include specific examples of projects or research that demonstrate your ability to develop and apply methodologies relevant to the role.
Follow Application Instructions: Ensure you include all required information, such as details of your referees and the reference number SL29277. Double-check that your CV and cover letter are uploaded correctly and that you haven’t included any unrequested documents, as these will not be considered.
How to prepare for a job interview at The International Society for Bayesian Analysis
✨Understand the Role and Responsibilities
Make sure you thoroughly read the job description and understand the key responsibilities of the Research Associate position. Be prepared to discuss how your skills and experiences align with the specific tasks, such as developing methodology and working with Electronic Health Records.
✨Showcase Your Technical Skills
Since strong computational skills, particularly in R, are essential for this role, be ready to discuss your experience with statistical analysis and any relevant projects. If you have worked with high-dimensional data or Bayesian statistics, highlight these experiences during the interview.
✨Prepare Questions for Your Interviewers
Interviews are a two-way street, so prepare insightful questions about the research projects at the MRC Biostatistics Unit. This shows your genuine interest in the role and helps you assess if the position is the right fit for you.
✨Demonstrate Collaboration Skills
Given the collaborative nature of the role, be ready to provide examples of how you've successfully worked with others in a research setting. Discuss any experiences you have had with clinicians or other health professionals, as this will be valuable in the context of the position.
