Data Management Assistant

at  Quotient Sciences

Quotient Sciences is a drug development and manufacturing accelerator providing integrated programs and tailored services across the entire development pathway. Cutting through silos across a range of drug development capabilities, we help biotech and pharma customers save precious time and money in getting drugs to patients.
We employ more than 1,100 talented individuals globally, located at state-of-the-art development, manufacturing and clinical facilities in the UK and USA.
Science, Agility and Culture are the core components that define Quotient Sciences, enabling us to do what we do in the way that we do it. People join Quotient Sciences because we are a respected member of the drug development community that’s focused on innovation and are driven by an unswerving belief that ideas need to become solutions, and molecules need to become cures, fast. Because humanity needs solutions, fast.
Data Management Assistant
An excellent opportunity to start a career within data management involved in the challenging environment of early phase clinical studies and be trained in the many different aspects of clinical data management.
The Role
We have an excellent opportunity for a Data Management Assistant to join our Data Management department, based in Edinburgh. You will be involved in the challenging environment of early phase clinical research and be trained in the many different aspects of data management support tasks.
Data Sciences at Quotient Sciences comprises six departments (including Data Management) and over 100 staff and provides an expert service in the data management, analysis and reporting of early phase clinical studies.

Each clinical study is set-up according to the clinical protocol which details the study design, objectives, dosing information, data collection and reporting methods. Other project team members will perform tasks such as database set-up, collection of data, reporting, etc; working as part of a team your role will be to perform tasks such as:

• Support the study Data Managers and perform data management activities using study databases, including QC
• Entry of data into database test environment
• Regularly update clinical study details on the overall Data Science master spreadsheet (Excel)
• Provide general administrative support to the data management department
• Assist in the generation and co-ordination of archiving documents on assigned studies

We use industry standard software and full training will be provided in our systems and data management procedures. Dependent on your development, our career pathway allows you to expand your role over time to perform other data management tasks and potentially progress to a more senior role.
The Candidate
The successful candidate will have experience within some form of administration/support role in a scientific environment (e.g. working for a research company, laboratory, NHS etc.). Candidates must also be numerate with an eye for detail but there is no requirement for a degree.
In addition you should have good organisational skills and be able to work to deadlines whilst maintaining quality standards. Attention to detail and the ability to multitask are essential. Effective oral and written communication skills are also required. Applicants must have the right to work in the UK.
This is a hybrid role to be based in our Edinburgh office.
Application Requirements
When applying for a position with Quotient Sciences to be able to work in our organization you must be aged 18 years or over and not have been debarred by the FDA. If you indicate you are under the age of 18 or have been debarred then your application will be automatically declined.
Our Commitment to Diversity, Equity and Inclusion
Quotient Sciences are advocates for positive change and conscious inclusion. We strive to create a diverse Quotient workforce and develop a workplace culture that provides a sense of acceptance for every person within our organization. As a global employer, we recognize the value in having an organization that is a true reflection and representation of our society today.
Specifically we will not discriminate on the basis of race, color, creed, religion, gender, gender identity, pregnancy, marital status, partnership status, domestic violence victim status, sexual orientation, age, national origin, alienage or citizenship status, veteran or military status, disability, medical condition, genetic information, caregiver status, unemployment status or any other characteristic prohibited by federal, state and/or local laws.
This applies to all aspects of employment, including hiring, promotion, demotion, compensation, training, working conditions, transfer, job assignments, benefits, layoff, and termination

• Support the study Data Managers and perform data management activities using study databases, including QC
• Entry of data into database test environment
• Regularly update clinical study details on the overall Data Science master spreadsheet (Excel)
• Provide general administrative support to the data management department
• Assist in the generation and co-ordination of archiving documents on assigned studie