Apprentice Statistician
Adelphi Values Patient-Centered Outcomes
Closing date for applications – 30th June 2024
Start date – September 2024
What you will be doing
This apprenticeship role offers a unique opportunity to learn and work in a global healthcare consultancy company alongside a team of statisticians, psychometricians and programmers. In this full time role you will be working in project teams supporting statistical and psychometric analyses, and alongside you will be studying for a level 7 (masters) in Medical Statistics . 20% of your time will be dedicated towards study (3-year study period), with tuition fees fully paid for and a full-time salary.
Our statistical analyses involve the analysis of clinical trial data, with a focus on patient-centered outcomes such as quality of life, including how a patient is functioning, feeling or experiencing symptoms. Alongside more clinical measurements, such as blood pressure or survival time, these outcomes are used to inform healthcare decisions between different treatments. Our psychometric analyses are based around how we collect this data, including the creation of the outcome measures to be used in clinical trials and assessment of how reliable and valid they are within different patient populations.
What we are looking for:
A highly numerate individual with a mathematics or mathematics with statistics bachelor’s degree (2:2 minimum) with an interest in applying statistics in the field of healthcare and medicine
Highly organised, with a rational approach to problem solving
A passion to learn
Able to work in a team
Good time management to balance work and study
Eligible for a UK Government-approved level 7 (Masters) in Medical Statistics
This role is based in our Bollington office, near Macclesfield
Starting Salary £24,000
25 day’s annual leave increasing to 28 days after 12 months service
Private Healthcare Scheme
Gym Membership
Company Pension
Day-to-day
- Creation of statistical analysis plans
- Writing of sections of scientific reports and PowerPoint results presentations, under supervision
- Attending meetings with pharmaceutical company clients
- Attending internal project team meetings
- Creation of table and figure shells
- Learning SAS and R programming to support creation of tables and figures
- Conduct and interpretation of analyses, under supervision
Key skills
- Highly numerate with maths or maths/stats to degree level
- An interest in applying statistics in the medical field
- Attention to detail
- Good communication skills
- Able to work in a team
- Organised and eager to learn
MSc Medical Statistics – Further Information
While in this role you will also be working towards your MSc Medical Statistics qualification which focuses on developing theoretical statistical knowledge and expertise, based around real-life medical/health research and data sets.
This apprenticeship is run by academics who work in the health sector as well as in higher education. It’s designed for those with a BSc degree in a quantitative subject and who wish to study towards an MSc.
The programme is delivered by University of Strathclyde. Degree Apprentices will have access to an award-winning digital platform and will access course materials via a Virtual Learning Environment as well as attend online live sessions to complement the learnings.
Day-to-day
- In-depth knowledge of modern statistical methods used to analyse and visualise real-life health-related data-sets, and how to apply these methods
- Skills in using statistical software packages used in government, industry, and commerce
- The ability to interpret the output from statistical tests and data analyses, and communicate findings to a variety of audiences including health professionals, scientists, government officials, managers, and stakeholders who may have an interest in the research problem
- Problem-solving and high numeracy skills are widely sought after in the commercial sector
- Practical experience in statistical consultancy and how to interact with professionals who require statistical analyses of their data
- The ability to interpret the output from statistical tests and data analyses, and communicate findings to a variety of audiences
Key skills
- Theoretical and applied statistical methods used in health sciences
- Problem-solving
- Analysis and manipulation of complex data-sets
- The use of statistical software for data analysis and reporting
About Adelphi Values Patient-Centered Outcomes
Adelphi Values Patient-Centered Outcomes is a global leader in qualitative and quantitative research techniques to support the selection, development, evaluation and implementation of Clinical Outcome Assessments (COAs) for use in clinical studies and clinical practice. As a health outcomes consultancy we work with a wide range of pharmaceutical companies to support the evaluation of patient experience and assessment of treatment benefits. Our research puts the patient at the centre of drug development with the aim of improving patients’ lives by informing healthcare decisions.
In the past 12 months we have conducted approximately 400 studies, supported clients in the development and validation of nearly 200 outcome measures and our researchers have been authors on more than 65 scientific communications. This includes articles in peer-reviewed journals and presentations at international scientific conferences.
About Adelphi Values Patient-Centered Outcomes
Adelphi Values Patient-Centered Outcomes is a global leader in qualitative and quantitative research techniques to support the selection, development, evaluation and implementation of Clinical Outcome Assessments (COAs) for use in clinical studies and clinical practice. As a health outcomes consultancy we work with a wide range of pharmaceutical companies to support the evaluation of patient experience and assessment of treatment benefits. Our research puts the patient at the centre of drug development with the aim of improving patients’ lives by informing healthcare decisions.
In the past 12 months we have conducted approximately 400 studies, supported clients in the development and validation of nearly 200 outcome measures and our researchers have been authors on more than 65 scientific communications. This includes articles in peer-reviewed journals and presentations at international scientific conferences.
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