May 15, 2024
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Cambridge, England, United Kingdom, United Kingdom
May 15, 2024
Apply NowJob description
Are you a Data Scientist with a strong interest in clinical trials? We have a great role with a growing client with a strong specialisation in risk based quality management RBQM in clinical trials.
Our client takes pride in our open and collaborative company culture - it's at the heart of everything we do. Our aim is to support each other and set each other up for success.
Does this sound like you?:
Experience in data modelling, using statistical methods to identify behavioural and data patterns. Industry experience would be advantageous, but this is not clinical endpoint analysis so a different way of thinking about data and stats modelling is required.
An interest and/or experience in machine learning models would also be an advantage but not essential. This role will require you to write reproducible, robust code and so an understanding of the importance of good software development practices and interest in this area would be beneficial. Or if not, an appetite to learn!
Interpersonal Skills
Self-motivated
Creative and visionary
Strong communication skills, ability to make a positive impact with internal and external stakeholders
Enjoy working in a small, but growing, results-oriented team
Ability to take responsibility for the consistency and quality of deliverables
Technical Skills (not exclusive)
Strong foundational knowledge of statistics (Hypothesis testing, point estimation, confidence intervals, numerical summaries, common distributions...)
Experience in statistical modelling and regression analysis
Programming skills in and statistical modelling skills in R and/or Python.
Understanding of package development would also be an advantage or with a willingness to learn.
Experience/interest in application of Machine Learning
Ability to review clinical protocols and understand the study design and subject visits schedules
Ability to demonstrate and apply critical thinking to KRI and data visualization design and centralized monitoring implementation
Ideally an understanding of clinical trial data and data structure
Desirable to have an understanding of software development practices (Agile, a collaboration tool such as Git, Testing/validation strategies, containerisation/similar)
As a highly valued team member, you can expect to be offered the right environment, compensation, and development opportunities to allow you to focus on being successful, and to support your colleagues to do the same.
In return, our client expects our team members to work hard, focusing on what really matters. We ask for honesty, thoughtful communication, and cross-functional support.
There isn't any sponsorship availabile at this company so you must have the right to work in the UK to be considered
Contact Gail Kniveton for more information
#RBQM #clinicaldatamanagement #datascience #datascientist
Our client takes pride in our open and collaborative company culture - it's at the heart of everything we do. Our aim is to support each other and set each other up for success.
Does this sound like you?:
Experience in data modelling, using statistical methods to identify behavioural and data patterns. Industry experience would be advantageous, but this is not clinical endpoint analysis so a different way of thinking about data and stats modelling is required.
An interest and/or experience in machine learning models would also be an advantage but not essential. This role will require you to write reproducible, robust code and so an understanding of the importance of good software development practices and interest in this area would be beneficial. Or if not, an appetite to learn!
Interpersonal Skills
Self-motivated
Creative and visionary
Strong communication skills, ability to make a positive impact with internal and external stakeholders
Enjoy working in a small, but growing, results-oriented team
Ability to take responsibility for the consistency and quality of deliverables
Technical Skills (not exclusive)
Strong foundational knowledge of statistics (Hypothesis testing, point estimation, confidence intervals, numerical summaries, common distributions...)
Experience in statistical modelling and regression analysis
Programming skills in and statistical modelling skills in R and/or Python.
Understanding of package development would also be an advantage or with a willingness to learn.
Experience/interest in application of Machine Learning
Ability to review clinical protocols and understand the study design and subject visits schedules
Ability to demonstrate and apply critical thinking to KRI and data visualization design and centralized monitoring implementation
Ideally an understanding of clinical trial data and data structure
Desirable to have an understanding of software development practices (Agile, a collaboration tool such as Git, Testing/validation strategies, containerisation/similar)
As a highly valued team member, you can expect to be offered the right environment, compensation, and development opportunities to allow you to focus on being successful, and to support your colleagues to do the same.
In return, our client expects our team members to work hard, focusing on what really matters. We ask for honesty, thoughtful communication, and cross-functional support.
There isn't any sponsorship availabile at this company so you must have the right to work in the UK to be considered
Contact Gail Kniveton for more information
#RBQM #clinicaldatamanagement #datascience #datascientist
