Dates & Times:
Module 1 - Wednesday 20th November: 09:00-12:30 BST
Module 2 - Tuesday 26th November: 09:00-12:30 BST
Module 3 - Thursday 28th November: 09:00-12:30 BST
Location:
Online via Zoom
Speakers: Andy Grieve (Statistical Consultant), Gemma Hodgson (Qi Statistics Ltd.)
Who is this event intended for? This online course is aimed at beginner Bayesians who have little or no experience in Bayesian statistics.
What is the benefit of attending? After attending participants should be able to understand the background, concepts, benefits and risks of using it using examples form the pharmaceutical industry and evaluate for their projects whether using Bayesian methods would be appropriate, as well as understanding the basic steps needed to take in designing a Bayesian study.
Early Bird PSI Members = £320+VAT
PSI Members = £360+VAT
Early Bird Non-Members = £430+VAT
Non-Members = £470+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2025.
To book your place, please click here.
Registration for this event has now closed. If you would like to attend this event in the future, please contact admin@psiweb.org so we can get in touch with you directly when registration opens.
This interactive and hands on online course, aimed at beginner Bayesians who have little or no experience in Bayesian statistics, is split into 3 modules. Module 1 introduces Bayesian concepts and looks at how Bayes has been used recently in the Pharmaceutical Industry, and participants will undertake their own data collection exercise in order to analyse a simple Bayesian trial. Module 2 takes a look at the concepts of Bayesian statistics and key terminology and provides a chance to analyse some data using a simple Bayesian approach. Module 3 takes a further look at the use of Bayesian statistics in drug development and regulatory requirements and digs deeper into analysis issues. Workshops will be provided to do as homework between the sessions. Participants can use R or SAS and a worked solution in the appropriate language will be provided.
By the end of the course, participants should be able to:
- Understand Bayes theorem and the basic maths behind the Bayesian approach
- Understand the concepts and benefits of Bayesian approach
- Be confident in explaining to a project team why a Bayeisan approach may be
appropriate
- Know how to setup a basic Bayesian analysis in SAS or R
- Understand the necessary model checking and caveats when using Bayesian Methods
- Be aware of case studies in drug development that use Bayesian Methods
- Know where to go for further help setting up and running a Bayesian study
|
Speaker |
Biography |
 Andy Grieve |
Andrew P. Grieve is a Visiting Professor at King’s College London and a Statistical Consultant with Weatherden Ltd having recently retired from the position of Research Fellow in the Statistical Innovation group at UCB Pharma. He is a former Chair of PSI (Statisticians in the Pharmaceutical Industry) and a past-President of the Royal Statistical Society. He has over 45 years of experience as a biostatistician working in the pharmaceutical industry and academia. He has been active in the majority of areas of pharmaceutical R&D in which statistical methods and statisticians are intimately involved including drug discovery, pre-clinical toxicology, pharmaceutical development, pharmacokinetics and pharmacodynamics, phase I-IV of clinical development, manufacturing, health economics and clinical operations. Since the early 1980s he has promoted the use of Bayesian methods in pharmaceutical R&D and his statistical research has been primarily concerned with the implementation of Bayesian ideas and techniques. Latterly he has concentrated on the design and implementation of Bayesian adaptive trials, and the Probability of Success (PoS) of studies and drug development programs. He has published over 140 articles and is the author of two. He has been an invited speaker at national and international conferences on over 300 occasions. |
|
|
Gemma Hodgson is a Chartered Statistician and has worked with clients applying statistics in several industries. Gemma’s career began with work as a Medical Statistician in the Pharmaceutical industry for over 20 years, working for large multinational pharmaceutical companies, from ph I through to ph IV. Since 2012 Gemma has worked for and now owns Qi Statistics Ltd. which offers statistical training and consultancy services for all industries, including R&D, manufacturing, food & consumer goods and general business. |
Dates & Times:
Module 1 - Wednesday 20th November: 09:00-12:30 BST
Module 2 - Tuesday 26th November: 09:00-12:30 BST
Module 3 - Thursday 28th November: 09:00-12:30 BST
Location:
Online via Zoom
Speakers: Andy Grieve (Statistical Consultant), Gemma Hodgson (Qi Statistics Ltd.)
Who is this event intended for? This online course is aimed at beginner Bayesians who have little or no experience in Bayesian statistics.
What is the benefit of attending? After attending participants should be able to understand the background, concepts, benefits and risks of using it using examples form the pharmaceutical industry and evaluate for their projects whether using Bayesian methods would be appropriate, as well as understanding the basic steps needed to take in designing a Bayesian study.
Early Bird PSI Members = £320+VAT
PSI Members = £360+VAT
Early Bird Non-Members = £430+VAT
Non-Members = £470+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2025.
To book your place, please click here.
Registration for this event has now closed. If you would like to attend this event in the future, please contact admin@psiweb.org so we can get in touch with you directly when registration opens.
This interactive and hands on online course, aimed at beginner Bayesians who have little or no experience in Bayesian statistics, is split into 3 modules. Module 1 introduces Bayesian concepts and looks at how Bayes has been used recently in the Pharmaceutical Industry, and participants will undertake their own data collection exercise in order to analyse a simple Bayesian trial. Module 2 takes a look at the concepts of Bayesian statistics and key terminology and provides a chance to analyse some data using a simple Bayesian approach. Module 3 takes a further look at the use of Bayesian statistics in drug development and regulatory requirements and digs deeper into analysis issues. Workshops will be provided to do as homework between the sessions. Participants can use R or SAS and a worked solution in the appropriate language will be provided.
By the end of the course, participants should be able to:
- Understand Bayes theorem and the basic maths behind the Bayesian approach
- Understand the concepts and benefits of Bayesian approach
- Be confident in explaining to a project team why a Bayeisan approach may be
appropriate
- Know how to setup a basic Bayesian analysis in SAS or R
- Understand the necessary model checking and caveats when using Bayesian Methods
- Be aware of case studies in drug development that use Bayesian Methods
- Know where to go for further help setting up and running a Bayesian study
|
Speaker |
Biography |
Andy Grieve |
Andrew P. Grieve is a Visiting Professor at King’s College London and a Statistical Consultant with Weatherden Ltd having recently retired from the position of Research Fellow in the Statistical Innovation group at UCB Pharma. He is a former Chair of PSI (Statisticians in the Pharmaceutical Industry) and a past-President of the Royal Statistical Society. He has over 45 years of experience as a biostatistician working in the pharmaceutical industry and academia. He has been active in the majority of areas of pharmaceutical R&D in which statistical methods and statisticians are intimately involved including drug discovery, pre-clinical toxicology, pharmaceutical development, pharmacokinetics and pharmacodynamics, phase I-IV of clinical development, manufacturing, health economics and clinical operations. Since the early 1980s he has promoted the use of Bayesian methods in pharmaceutical R&D and his statistical research has been primarily concerned with the implementation of Bayesian ideas and techniques. Latterly he has concentrated on the design and implementation of Bayesian adaptive trials, and the Probability of Success (PoS) of studies and drug development programs. He has published over 140 articles and is the author of two. He has been an invited speaker at national and international conferences on over 300 occasions. |
|
|
Gemma Hodgson is a Chartered Statistician and has worked with clients applying statistics in several industries. Gemma’s career began with work as a Medical Statistician in the Pharmaceutical industry for over 20 years, working for large multinational pharmaceutical companies, from ph I through to ph IV. Since 2012 Gemma has worked for and now owns Qi Statistics Ltd. which offers statistical training and consultancy services for all industries, including R&D, manufacturing, food & consumer goods and general business. |
Dates & Times:
Module 1 - Wednesday 20th November: 09:00-12:30 BST
Module 2 - Tuesday 26th November: 09:00-12:30 BST
Module 3 - Thursday 28th November: 09:00-12:30 BST
Location:
Online via Zoom
Speakers: Andy Grieve (Statistical Consultant), Gemma Hodgson (Qi Statistics Ltd.)
Who is this event intended for? This online course is aimed at beginner Bayesians who have little or no experience in Bayesian statistics.
What is the benefit of attending? After attending participants should be able to understand the background, concepts, benefits and risks of using it using examples form the pharmaceutical industry and evaluate for their projects whether using Bayesian methods would be appropriate, as well as understanding the basic steps needed to take in designing a Bayesian study.
Early Bird PSI Members = £320+VAT
PSI Members = £360+VAT
Early Bird Non-Members = £430+VAT
Non-Members = £470+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2025.
To book your place, please click here.
Registration for this event has now closed. If you would like to attend this event in the future, please contact admin@psiweb.org so we can get in touch with you directly when registration opens.
This interactive and hands on online course, aimed at beginner Bayesians who have little or no experience in Bayesian statistics, is split into 3 modules. Module 1 introduces Bayesian concepts and looks at how Bayes has been used recently in the Pharmaceutical Industry, and participants will undertake their own data collection exercise in order to analyse a simple Bayesian trial. Module 2 takes a look at the concepts of Bayesian statistics and key terminology and provides a chance to analyse some data using a simple Bayesian approach. Module 3 takes a further look at the use of Bayesian statistics in drug development and regulatory requirements and digs deeper into analysis issues. Workshops will be provided to do as homework between the sessions. Participants can use R or SAS and a worked solution in the appropriate language will be provided.
By the end of the course, participants should be able to:
- Understand Bayes theorem and the basic maths behind the Bayesian approach
- Understand the concepts and benefits of Bayesian approach
- Be confident in explaining to a project team why a Bayeisan approach may be
appropriate
- Know how to setup a basic Bayesian analysis in SAS or R
- Understand the necessary model checking and caveats when using Bayesian Methods
- Be aware of case studies in drug development that use Bayesian Methods
- Know where to go for further help setting up and running a Bayesian study
|
Speaker |
Biography |
Andy Grieve |
Andrew P. Grieve is a Visiting Professor at King’s College London and a Statistical Consultant with Weatherden Ltd having recently retired from the position of Research Fellow in the Statistical Innovation group at UCB Pharma. He is a former Chair of PSI (Statisticians in the Pharmaceutical Industry) and a past-President of the Royal Statistical Society. He has over 45 years of experience as a biostatistician working in the pharmaceutical industry and academia. He has been active in the majority of areas of pharmaceutical R&D in which statistical methods and statisticians are intimately involved including drug discovery, pre-clinical toxicology, pharmaceutical development, pharmacokinetics and pharmacodynamics, phase I-IV of clinical development, manufacturing, health economics and clinical operations. Since the early 1980s he has promoted the use of Bayesian methods in pharmaceutical R&D and his statistical research has been primarily concerned with the implementation of Bayesian ideas and techniques. Latterly he has concentrated on the design and implementation of Bayesian adaptive trials, and the Probability of Success (PoS) of studies and drug development programs. He has published over 140 articles and is the author of two. He has been an invited speaker at national and international conferences on over 300 occasions. |
|
|
Gemma Hodgson is a Chartered Statistician and has worked with clients applying statistics in several industries. Gemma’s career began with work as a Medical Statistician in the Pharmaceutical industry for over 20 years, working for large multinational pharmaceutical companies, from ph I through to ph IV. Since 2012 Gemma has worked for and now owns Qi Statistics Ltd. which offers statistical training and consultancy services for all industries, including R&D, manufacturing, food & consumer goods and general business. |
Dates & Times:
Module 1 - Wednesday 20th November: 09:00-12:30 BST
Module 2 - Tuesday 26th November: 09:00-12:30 BST
Module 3 - Thursday 28th November: 09:00-12:30 BST
Location:
Online via Zoom
Speakers: Andy Grieve (Statistical Consultant), Gemma Hodgson (Qi Statistics Ltd.)
Who is this event intended for? This online course is aimed at beginner Bayesians who have little or no experience in Bayesian statistics.
What is the benefit of attending? After attending participants should be able to understand the background, concepts, benefits and risks of using it using examples form the pharmaceutical industry and evaluate for their projects whether using Bayesian methods would be appropriate, as well as understanding the basic steps needed to take in designing a Bayesian study.
Early Bird PSI Members = £320+VAT
PSI Members = £360+VAT
Early Bird Non-Members = £430+VAT
Non-Members = £470+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2025.
To book your place, please click here.
Registration for this event has now closed. If you would like to attend this event in the future, please contact admin@psiweb.org so we can get in touch with you directly when registration opens.
This interactive and hands on online course, aimed at beginner Bayesians who have little or no experience in Bayesian statistics, is split into 3 modules. Module 1 introduces Bayesian concepts and looks at how Bayes has been used recently in the Pharmaceutical Industry, and participants will undertake their own data collection exercise in order to analyse a simple Bayesian trial. Module 2 takes a look at the concepts of Bayesian statistics and key terminology and provides a chance to analyse some data using a simple Bayesian approach. Module 3 takes a further look at the use of Bayesian statistics in drug development and regulatory requirements and digs deeper into analysis issues. Workshops will be provided to do as homework between the sessions. Participants can use R or SAS and a worked solution in the appropriate language will be provided.
By the end of the course, participants should be able to:
- Understand Bayes theorem and the basic maths behind the Bayesian approach
- Understand the concepts and benefits of Bayesian approach
- Be confident in explaining to a project team why a Bayeisan approach may be
appropriate
- Know how to setup a basic Bayesian analysis in SAS or R
- Understand the necessary model checking and caveats when using Bayesian Methods
- Be aware of case studies in drug development that use Bayesian Methods
- Know where to go for further help setting up and running a Bayesian study
|
Speaker |
Biography |
Andy Grieve |
Andrew P. Grieve is a Visiting Professor at King’s College London and a Statistical Consultant with Weatherden Ltd having recently retired from the position of Research Fellow in the Statistical Innovation group at UCB Pharma. He is a former Chair of PSI (Statisticians in the Pharmaceutical Industry) and a past-President of the Royal Statistical Society. He has over 45 years of experience as a biostatistician working in the pharmaceutical industry and academia. He has been active in the majority of areas of pharmaceutical R&D in which statistical methods and statisticians are intimately involved including drug discovery, pre-clinical toxicology, pharmaceutical development, pharmacokinetics and pharmacodynamics, phase I-IV of clinical development, manufacturing, health economics and clinical operations. Since the early 1980s he has promoted the use of Bayesian methods in pharmaceutical R&D and his statistical research has been primarily concerned with the implementation of Bayesian ideas and techniques. Latterly he has concentrated on the design and implementation of Bayesian adaptive trials, and the Probability of Success (PoS) of studies and drug development programs. He has published over 140 articles and is the author of two. He has been an invited speaker at national and international conferences on over 300 occasions. |
|
|
Gemma Hodgson is a Chartered Statistician and has worked with clients applying statistics in several industries. Gemma’s career began with work as a Medical Statistician in the Pharmaceutical industry for over 20 years, working for large multinational pharmaceutical companies, from ph I through to ph IV. Since 2012 Gemma has worked for and now owns Qi Statistics Ltd. which offers statistical training and consultancy services for all industries, including R&D, manufacturing, food & consumer goods and general business. |
Dates & Times:
Module 1 - Wednesday 20th November: 09:00-12:30 BST
Module 2 - Tuesday 26th November: 09:00-12:30 BST
Module 3 - Thursday 28th November: 09:00-12:30 BST
Location:
Online via Zoom
Speakers: Andy Grieve (Statistical Consultant), Gemma Hodgson (Qi Statistics Ltd.)
Who is this event intended for? This online course is aimed at beginner Bayesians who have little or no experience in Bayesian statistics.
What is the benefit of attending? After attending participants should be able to understand the background, concepts, benefits and risks of using it using examples form the pharmaceutical industry and evaluate for their projects whether using Bayesian methods would be appropriate, as well as understanding the basic steps needed to take in designing a Bayesian study.
Early Bird PSI Members = £320+VAT
PSI Members = £360+VAT
Early Bird Non-Members = £430+VAT
Non-Members = £470+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2025.
To book your place, please click here.
Registration for this event has now closed. If you would like to attend this event in the future, please contact admin@psiweb.org so we can get in touch with you directly when registration opens.
This interactive and hands on online course, aimed at beginner Bayesians who have little or no experience in Bayesian statistics, is split into 3 modules. Module 1 introduces Bayesian concepts and looks at how Bayes has been used recently in the Pharmaceutical Industry, and participants will undertake their own data collection exercise in order to analyse a simple Bayesian trial. Module 2 takes a look at the concepts of Bayesian statistics and key terminology and provides a chance to analyse some data using a simple Bayesian approach. Module 3 takes a further look at the use of Bayesian statistics in drug development and regulatory requirements and digs deeper into analysis issues. Workshops will be provided to do as homework between the sessions. Participants can use R or SAS and a worked solution in the appropriate language will be provided.
By the end of the course, participants should be able to:
- Understand Bayes theorem and the basic maths behind the Bayesian approach
- Understand the concepts and benefits of Bayesian approach
- Be confident in explaining to a project team why a Bayeisan approach may be
appropriate
- Know how to setup a basic Bayesian analysis in SAS or R
- Understand the necessary model checking and caveats when using Bayesian Methods
- Be aware of case studies in drug development that use Bayesian Methods
- Know where to go for further help setting up and running a Bayesian study
|
Speaker |
Biography |
Andy Grieve |
Andrew P. Grieve is a Visiting Professor at King’s College London and a Statistical Consultant with Weatherden Ltd having recently retired from the position of Research Fellow in the Statistical Innovation group at UCB Pharma. He is a former Chair of PSI (Statisticians in the Pharmaceutical Industry) and a past-President of the Royal Statistical Society. He has over 45 years of experience as a biostatistician working in the pharmaceutical industry and academia. He has been active in the majority of areas of pharmaceutical R&D in which statistical methods and statisticians are intimately involved including drug discovery, pre-clinical toxicology, pharmaceutical development, pharmacokinetics and pharmacodynamics, phase I-IV of clinical development, manufacturing, health economics and clinical operations. Since the early 1980s he has promoted the use of Bayesian methods in pharmaceutical R&D and his statistical research has been primarily concerned with the implementation of Bayesian ideas and techniques. Latterly he has concentrated on the design and implementation of Bayesian adaptive trials, and the Probability of Success (PoS) of studies and drug development programs. He has published over 140 articles and is the author of two. He has been an invited speaker at national and international conferences on over 300 occasions. |
|
|
Gemma Hodgson is a Chartered Statistician and has worked with clients applying statistics in several industries. Gemma’s career began with work as a Medical Statistician in the Pharmaceutical industry for over 20 years, working for large multinational pharmaceutical companies, from ph I through to ph IV. Since 2012 Gemma has worked for and now owns Qi Statistics Ltd. which offers statistical training and consultancy services for all industries, including R&D, manufacturing, food & consumer goods and general business. |
Dates & Times:
Module 1 - Wednesday 20th November: 09:00-12:30 BST
Module 2 - Tuesday 26th November: 09:00-12:30 BST
Module 3 - Thursday 28th November: 09:00-12:30 BST
Location:
Online via Zoom
Speakers: Andy Grieve (Statistical Consultant), Gemma Hodgson (Qi Statistics Ltd.)
Who is this event intended for? This online course is aimed at beginner Bayesians who have little or no experience in Bayesian statistics.
What is the benefit of attending? After attending participants should be able to understand the background, concepts, benefits and risks of using it using examples form the pharmaceutical industry and evaluate for their projects whether using Bayesian methods would be appropriate, as well as understanding the basic steps needed to take in designing a Bayesian study.
Early Bird PSI Members = £320+VAT
PSI Members = £360+VAT
Early Bird Non-Members = £430+VAT
Non-Members = £470+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2025.
To book your place, please click here.
Registration for this event has now closed. If you would like to attend this event in the future, please contact admin@psiweb.org so we can get in touch with you directly when registration opens.
This interactive and hands on online course, aimed at beginner Bayesians who have little or no experience in Bayesian statistics, is split into 3 modules. Module 1 introduces Bayesian concepts and looks at how Bayes has been used recently in the Pharmaceutical Industry, and participants will undertake their own data collection exercise in order to analyse a simple Bayesian trial. Module 2 takes a look at the concepts of Bayesian statistics and key terminology and provides a chance to analyse some data using a simple Bayesian approach. Module 3 takes a further look at the use of Bayesian statistics in drug development and regulatory requirements and digs deeper into analysis issues. Workshops will be provided to do as homework between the sessions. Participants can use R or SAS and a worked solution in the appropriate language will be provided.
By the end of the course, participants should be able to:
- Understand Bayes theorem and the basic maths behind the Bayesian approach
- Understand the concepts and benefits of Bayesian approach
- Be confident in explaining to a project team why a Bayeisan approach may be
appropriate
- Know how to setup a basic Bayesian analysis in SAS or R
- Understand the necessary model checking and caveats when using Bayesian Methods
- Be aware of case studies in drug development that use Bayesian Methods
- Know where to go for further help setting up and running a Bayesian study
|
Speaker |
Biography |
Andy Grieve |
Andrew P. Grieve is a Visiting Professor at King’s College London and a Statistical Consultant with Weatherden Ltd having recently retired from the position of Research Fellow in the Statistical Innovation group at UCB Pharma. He is a former Chair of PSI (Statisticians in the Pharmaceutical Industry) and a past-President of the Royal Statistical Society. He has over 45 years of experience as a biostatistician working in the pharmaceutical industry and academia. He has been active in the majority of areas of pharmaceutical R&D in which statistical methods and statisticians are intimately involved including drug discovery, pre-clinical toxicology, pharmaceutical development, pharmacokinetics and pharmacodynamics, phase I-IV of clinical development, manufacturing, health economics and clinical operations. Since the early 1980s he has promoted the use of Bayesian methods in pharmaceutical R&D and his statistical research has been primarily concerned with the implementation of Bayesian ideas and techniques. Latterly he has concentrated on the design and implementation of Bayesian adaptive trials, and the Probability of Success (PoS) of studies and drug development programs. He has published over 140 articles and is the author of two. He has been an invited speaker at national and international conferences on over 300 occasions. |
|
|
Gemma Hodgson is a Chartered Statistician and has worked with clients applying statistics in several industries. Gemma’s career began with work as a Medical Statistician in the Pharmaceutical industry for over 20 years, working for large multinational pharmaceutical companies, from ph I through to ph IV. Since 2012 Gemma has worked for and now owns Qi Statistics Ltd. which offers statistical training and consultancy services for all industries, including R&D, manufacturing, food & consumer goods and general business. |
An introductory course giving an overview of the pharmaceutical industry and the drug development process as a whole, aimed at those with 1-3 years' experience. It comprises of six 2-day sessions covering a range of topics including Research and Development, Toxicology, Data Management and the Role of a CRO, Clinical Trials, Reimbursement, and Marketing.
Our monthly webinar explores examples of innovative data visualisations relevant to our day to day work. Each month a new dataset is provided from a clinical trial or other relevant example, and participants are invited to submit a graphic that communicates interesting and relevant characteristics of the data.
The book club’s usual focus is to read and discuss professional development books. In this short format event you can more easily develop you career without the commitment of reading the whole book - simply listen to the 1-hour long podcast before joining the interactive session on 21 May.
This webinar is organised by the RWD SIG and the Historical Data SIG. We will review recent methods, applications, and tools of integrating subject-level-data from clinical trial with external data using Bayesian methods and/or causal inference methods.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This will be a 45 minute webinar which will explain the topic presented in the published paper, ‘Applying the Estimand Framework to Clinical Pharmacology Trials with a Case Study in Bioequivalance’. There will be 15 minutes for a panel Q&A with some of the authors following the presentation.
This one-day event focuses on the comprehensive management of transitioning to R/Open-Source, addressing the challenges and providing actionable insights. Attendees will participate in sessions covering essential topics such as training best practices, creating strategic plans, making the case to senior management, and managing both statistical and programming aspects of the transition.
This course is aimed at biostatisticians with no or some pediatric drug development experience who are interested to further their understanding. We will give you an introduction to the pediatric drug development landscape. This will include identifying the key regulations and processes governing pediatric development, a discussion on the needs and challenges when conducting pediatric research and a focus on the ways to overcome these challenges from a statistical perspective.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
The Institute of Cancer Research are seeking to appoint a Research Group Leader to join The CRUK Clinical Trials and Statistics Unit at the ICR.
This is an exciting, new opportunity for an experienced Statistician looking to take the next step in their career. Offered as a remote or hybrid position aligned with our site in Harrogate, North Yorkshire.
The BioMarin internship programme will enable students to gain valuable experience and knowledge of the processes and systems within BioMarin, whilst gaining an insight into the pharmaceutical/biotech industry.
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