Medical Statistician Level 7 Apprenticeship - UCB – Find an apprenticeship

Summary

UCB invites one candidate to undertake a medical statistician apprenticeship. During the three-year apprenticeship you will complete an integrated MSc degree. You will be working in either the UK Early Development Statistics or Launch Statistics team.

Annual wage

£28,000 a year

Minimum wage rates (opens in new tab)

Annual salary review with fixed increases

Training course

Medical statistician (level 7)

Hours

Monday - Friday 9am - 5:30pm (including 1-hour unpaid lunch)

37 hours a week

Possible start date

Friday 1 August

Duration

2 years 9 months

Positions available

1

Work

As an apprentice, you’ll work at a company and get hands-on experience. You’ll gain new skills and work alongside experienced staff.

What you’ll do at work

Reviewing and writing statistical sections of protocols, analysis plans and reports
Programming in statistical packages such as R and SAS
Creating summaries and graphical presentations of data
Ensuring modelling assumptions based on statistical theory are met and analyses applied are appropriate
Providing statistical leadership and oversight of studies as part of a cross-functional team
Interpreting analyses and contributing to publications such as manuscripts, posters, and slides, to ensure results are appropriately disseminated

Where you’ll work

216 Bath Road

Slough

SL1 3WE

Training

An apprenticeship includes regular training with a college or other training organisation. At least 20% of your working hours will be spent training or studying.

College or training organisation

UNIVERSITY COLLEGE LONDON

Your training course

Medical statistician (level 7)

Equal to master’s degree

Course contents

Interpret, apply and comply with legislation, statutory frameworks, professional codes of practice and guidance, including quality control.
Select and perform the appropriate statistical technique that are commonly used in medical research relevant to the given data set and objective.
Use statistical software (SAS® and R or other appropriate software) to perform the required statistical methods that are commonly used in medical research.
Use statistical software (SAS® and R or other appropriate software) to create appropriate graphical and tabular representations of the data to aid interpretation that are commonly used in medical research (such as summary tables, individual data listings, histograms, boxplots, scatter plots, line charts, bar charts, frequency tables).
Assess and interpret the results of data analysis and communicate these to peers in written and verbal discussion (such as written medical statistical reports and oral presentations).
Adapt communication technique when communicating statistical concepts to different audiences including people from a non-scientific background.
Critique technical documents affecting projects they are working on, written by other professionals (e.g. medical writers, study directors, project managers, medical consultants).
Provide statistical input into the preparation of technical documents, e.g. study protocols, statistical analysis plans (including specifying the format and structure of planned regulatory required analysis outputs), study reports, regulatory submissions and grant applications.
Identify issues that can affect projects, finding solutions that meet the commercial demands of the business environment.
Lead projects to completion within agreed and defined timescales and project parameters.
Work within limits of personal and professional competence, justifying and taking responsibility for own actions and seeking advice when required.
Search and critically appraise scientific literature, including literature on new and emerging methods and techniques relevant to medical statistics.
Evaluate new statistical methodologies relevant to medical statistics.
Facilitate learning and provide feedback to others as appropriate.
Critically review own practice and identify areas for personal and professional development.
Collaborate with other professionals to deliver mutually agreed outcomes.
Contribute to the wider statistical community (including their own organisation), through sharing knowledge, such as peer review, authorship and co-authorship of papers for publication or presentation at conference.
Interpret, apply and comply with legislation, statutory frameworks, professional codes of practice and guidance, including quality control.
Select and perform the appropriate statistical technique that are commonly used in medical research relevant to the given data set and objective.
Use statistical software (SAS® and R or other appropriate software) to perform the required statistical methods that are commonly used in medical research.
Use statistical software (SAS® and R or other appropriate software) to create appropriate graphical and tabular representations of the data to aid interpretation that are commonly used in medical research (such as summary tables, individual data listings, histograms, boxplots, scatter plots, line charts, bar charts, frequency tables).
Assess and interpret the results of data analysis and communicate these to peers in written and verbal discussion (such as written medical statistical reports and oral presentations).
Adapt communication technique when communicating statistical concepts to different audiences including people from a non-scientific background.
Critique technical documents affecting projects they are working on, written by other professionals (e.g. medical writers, study directors, project managers, medical consultants).
Provide statistical input into the preparation of technical documents, e.g. study protocols, statistical analysis plans (including specifying the format and structure of planned regulatory required analysis outputs), study reports, regulatory submissions and grant applications.
Identify issues that can affect projects, finding solutions that meet the commercial demands of the business environment.
Lead projects to completion within agreed and defined timescales and project parameters.
Work within limits of personal and professional competence, justifying and taking responsibility for own actions and seeking advice when required.
Search and critically appraise scientific literature, including literature on new and emerging methods and techniques relevant to medical statistics.
Evaluate new statistical methodologies relevant to medical statistics.
Facilitate learning and provide feedback to others as appropriate.
Critically review own practice and identify areas for personal and professional development.
Collaborate with other professionals to deliver mutually agreed outcomes.
Contribute to the wider statistical community (including their own organisation), through sharing knowledge, such as peer review, authorship and co-authorship of papers for publication or presentation at conference.

Your training plan

Medical Statistician Level 7.

Distance learning through a VLE.

Requirements

Essential qualifications

Degree in:

Degree with substantial statistical content (grade 2:2 or higher)
Maths or Statistics (grade 2:2 or higher)

Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.

Skills

Communication skills
IT skills
Attention to detail
Organisation skills
Problem solving skills
Administrative skills
Number skills
Analytical skills
Logical
Team working
Initiative

Other requirements

Please ensure that you currently live within or can relocate to a commutable distance of the site The individual will be working within a professional environment and must therefore adhere to site dress code procedures. All applications to be made through Apprenticeship vacancies. Do not contact the employer.

About this company

Our apprenticeship and graduate services have been supporting science industry employers to attract, retain and develop people who can contribute to business success since 2012.

Company benefits

Pension Scheme – 5% Employee, 3% Employer Employee Assistance Programme Annual Salary Increase Gym Membership Discount On site Canteen On site Parking

After this apprenticeship

Upon successful completion of the apprenticeship, you will be eligible to apply for other positions within the business. The training will expose the apprentice to a wide range of skills and competencies which would make them well placed for further study or suitable for many job opportunities in the life sciences sector.

Ask a question

The contact for this apprenticeship is:

Cogent Ssc Limited

Imogen Russell

imogen.russell@cogentskills.com

01925 515249

The reference code for this apprenticeship is VAC1000287225.

Apply now

Closes on Tuesday 18 February

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After signing in, you’ll apply for this apprenticeship on the company's website.

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Medical Statistician Level 7 Apprenticeship - UCB

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