At a Glance
- Tasks: Develop infectious disease models and enhance data pipelines for public health.
- Company: Join Public Health Wales, a leader in health innovation and surveillance.
- Benefits: Fixed-term role with opportunities for professional development and flexible working.
- Why this job: Make a real impact on public health and tackle infectious diseases head-on.
- Qualifications: Degree in a scientific field and experience in data science required.
- Other info: Collaborative environment with a commitment to diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
This post is fixed term for 19 months due to funding. We are looking for an Advanced Epidemiological Data Scientist to join Public Health Wales' Engineering, Data Science and Genomic Epidemiology (EDGE) specialty group in the Communicable Disease Surveillance Centre (CDSC). The exciting opportunity is ideal for data scientists with a passion for infectious disease modelling and surveillance. You will be contributing to the development of infectious disease modelling and enhancing analytical pipelines to transform our existing data infrastructure to cloud platforms.
Main duties of the job
This is a senior role that will develop the use of data science techniques to support the work of CDSC. The postholder will develop mathematical and epidemiological models which simulate the spread of infectious diseases. The post holder will develop methods and processes to maintain existing surveillance systems and set up new ones. This will include the management, maintenance and quality improvement of data flows to CDSC. The post holder will work with senior epidemiologists to implement emerging methods in data science such as data linkage and machine learning and explore the possibilities of artificial intelligence. The post holder will also work closely with microbiologists to develop new surveillance methods using the results of whole genome sequencing of pathogens, and will also have a role in supporting field epidemiology activities. The post-holder will use highly developed skills in data science, health informatics and project management to define, interpret and provide solutions to complex public health problems. This will involve framing problems in epidemiological terms, analysing complex data sets, ensuring outputs from projects are delivered to time and reporting findings to stakeholders, including the public, health professionals within Public Health Wales, the NHS, Health Boards and Welsh Government. The ability to speak Welsh is desirable for this post; Welsh and/or English speakers are equally welcome to apply.
About us
We are Public Health Wales - the national public health agency in Wales. Our purpose is 'Working together for a healthier Wales'. We exist to help everyone in Wales live longer, healthier, happier lives. Together with our partners, we work to increase healthy life expectancy, improve health and well-being, and reduce inequalities for everyone in Wales, now and for future generations. Our teams work to prevent disease, protect health, and provide leadership, specialist services and public health expertise. We are the leading source of public health information, research and innovation in Wales. In a world facing complex health challenges, our work has never been so important. We are guided by our Values, 'Working together, with trust and respect, to make a difference'. We are committed to building an inclusive workplace that values equality and diversity. We welcome applications which represent the rich diversity of the communities we serve and are supportive of flexible working arrangements, including part time roles and job sharing.
Job responsibilities
The post holder will be required to communicate analytical, statistical, epidemiological and evidence-based results and issues to a wide range of internal and external staff, and assist in guiding them on an appropriate course of action. The above will require excellent negotiating skills, appropriate tailoring of explanations to the audience involved, and explanations of sometimes contentious data. The post-holder will be required to liaise with a large group of health professionals and individuals from a variety of backgrounds and geographical levels to ensure accuracy and validity of information received, including clinicians, government officials and public health colleagues. This includes representation on inter-agency groups as required. The post-holder will be required to work with healthcare, local authority and other staff in a diplomatic manner to enable timely and valid field investigations for outbreaks and incidents, including site visits and information gathering. The post-holder may be required to interview cases and other individuals in the course of field investigations.
Person Specification
- Qualifications
- Degree in a scientific, computing or health related subject
- Masters qualification or equivalent experience acquired in a data-related field
- A qualification or demonstrable training/experience in data science
- Substantial post-graduate experience of relevant scientific work
- Experience of working with large and complex databases
- Understanding of current scientific and/or epidemiological advances
- Experience of training other staff groups
- Experience of surveillance and epidemiology
- Demonstrable experience of working within a public health setting
- Advanced data science and statistical methods
- Effective oral and written communication skills
- Ability to document and communicate clearly and succinctly
- Advanced skills in statistical and database software (Stata, MS Access, R) to manage and analyse complex data
- Ability to speak Welsh or willingness to learn
- Specialist knowledge of data science methods
- Knowledge of epidemiological principles and their application to communicable disease surveillance and control
- Knowledge of Public Health Wales
- Knowledge and experience of the architecture and practice of large-scale data management
- Ability to work to deadlines and under pressure
- Flexible approach and commitment to apply skills in support of clinical/scientific priorities
- Proven track record as a team player
- Enthusiastic approach with excellent planning and organisational skills
- Negotiation and diplomacy skills to work with a wide range of staff
- Ability to foster and maintain good working relationships with administrative staff, scientific staff and health professionals at all levels
- Commitment to CPD within Public Health competency frameworks
- Prepared to travel
This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.
Epidemiological Data Scientist (Advanced) in Cardiff employer: Public Health Wales
Contact Detail:
Public Health Wales Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Epidemiological Data Scientist (Advanced) in Cardiff
✨Network Like a Pro
Get out there and connect with people in the field! Attend conferences, webinars, or local meetups related to epidemiology and data science. You never know who might have a lead on your dream job!
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those related to infectious disease modelling or data analysis. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios specific to epidemiological data science. Be ready to discuss your experience with data flows, machine learning, and how you tackle complex public health problems.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the info you need about the role and our amazing team at Public Health Wales.
We think you need these skills to ace Epidemiological Data Scientist (Advanced) in Cardiff
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in epidemiology and data science. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Show Your Passion: Let us know why you’re excited about working in public health and infectious disease modelling. A genuine enthusiasm for the field can really make your application stand out, so share your motivation and any relevant experiences.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and ensure your key achievements are easy to spot. Remember, we want to understand your impact quickly!
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way to ensure your application gets to us directly and is considered for the role. Plus, you’ll find all the info you need about the process there.
How to prepare for a job interview at Public Health Wales
✨Know Your Data Science Stuff
Make sure you brush up on your advanced data science techniques, especially those related to epidemiology. Be ready to discuss how you've applied statistical methods and machine learning in past projects, as this role will require you to develop mathematical models for infectious disease.
✨Communicate Clearly
Since you'll be liaising with a variety of health professionals, practice explaining complex data in simple terms. Think about examples where you've had to tailor your communication style to different audiences, and be prepared to showcase your effective oral and written communication skills.
✨Show Your Passion for Public Health
Demonstrate your enthusiasm for public health and infectious disease modelling during the interview. Share any relevant experiences or projects that highlight your commitment to improving health outcomes, and make sure to align your values with those of Public Health Wales.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about past experiences where you've had to manage data flows or conduct field investigations, and be ready to discuss how you approached these challenges and what the outcomes were.