Airlock Coordinator (we have office locations in Cambridge, Leeds & London)

Company Description Genomics England partners with the NHS to provide whole genome sequencing diagnostics. We also equip researchers to find the causes of disease and develop new treatments – with patients and participants at the heart of it all. Our mission is to continue refining, scaling, and evolving our ability to enable others to deliver genomic healthcare and conduct genomic research. We are accelerating our impact and working with patients, doctors, scientists, government and industry to improve genomic testing, and help researchers access the health data and technology they need to make new medical discoveries and create more effective, targeted medicines for everybody. Job purpose This role is supporting the Airlock function to process researcher requests for the importing and exporting of files to and from the Genomics England Trusted Research Environment (TREs), and to support all associated and related functions as and when necessary. This role is pivotal to maintaining trust for the participants and patients who have trusted us with their data, whilst enabling valuable genomic research. Job Description Support the day-to-day function of the Airlock system, responding to researcher requests to export data from and import data into the Genomics England TREs Communicate with researchers, the rest of the Airlock team, the Airlock Committee and other internal and external stakeholders to ensure accurate decision making regarding these requests, and ensure that the exportation of potentially identifiable data cannot occur. In cases where the first iteration of the researcher’s work is not suitable for import/export, aid them to create a version that is suitable for import/export wherever possible Work with the rest of the Airlock team and Airlock Committee, as well as members of the clinical team, bioinformatics team, system developers and external professionals to provide optimal end-to-end support for the Airlock functionality, including evolving and continuously improving the Genomics England Airlock policies and processes Assist in recording the usage of the Airlock system using archive spreadsheets, using this data to generate insights that will improve the future system. Provide support to research environment squads in the iteration of the Genomics England research environments with insights from how the Airlock systems are being used by the researchers Assist in the maintenance, updating and improvement as and when necessary of the software that is used to provide the Airlock system Assist in the maintenance, updating and improvement as and when necessary of the Airlock related documentation, both internal and user facing Know and understand the meaning behind our virtues and leadership behaviours and embody them in all aspects of your role. Qualifications Science or healthcare-related qualification at degree level or equivalent experience. Skills and experience for success The ideal candidate for this role will: Be an enthusiastic learner with a desire to understand and apply legal requirements related to data protection. Have some knowledge of genetics, enabling a grasp of fundamental concepts in requests. Be computer literate using Excel, managing JIRA tickets, and contributing to database management including data input and ensuring accuracy. Have strong communication skills to allow them to work effectively with researchers, internal and external stakeholders, organise committee meetings and communicate rejections to requests. Have basic programming skills (R, python and/or Unix terminal preferable), or knowledge of Bioinformatics, however this can be taught in role. Additional Information Closing date for applications: Tuesday 19th August at 23:59 Salary from: £37,000 Being an integral part of such a meaningful mission is extremely rewarding in itself, but in order to support our people, we’re continually improving our benefits package. We pride ourselves on investing in our people and supporting them to achieve their career goals, as well as offering a benefits package including:  Generous Leave: 30 days’ holiday plus bank holidays, additional leave for long service, and the option to apply for up to 30 days of remote working abroad annually (approval required). Family-Friendly: Blended working arrangements, flexible working, enhanced maternity, paternity and shared parental leave benefits. Pension & Financial: Defined contribution pension (Genomics England double-matches up to 10%, however you can contribute more if you wish), Life Assurance (3x salary), and a Give As You Earn scheme. Learning & Development: Individual learning budgets, support for training and certifications, and reimbursement for one annual professional subscription (approval required). Recognition & Rewards: Employee recognition programme and referral scheme. Health & Wellbeing: Subsidised gym membership, a free Headspace account, and access to an Employee Assistance Programme, eye tests, flu jabs.Equal opportunities and our commitment to a diverse and inclusive workplace  Genomics England is actively committed to providing and supporting an inclusive environment that promotes equity, diversity and inclusion best practice both within our community and in any other area where we have influence. We are proud of our diverse community where everyone can come to work and feel welcomed and treated with respect regardless of any disability, ethnicity, gender, gender identity, religion, sexual orientation, or social background.  Genomics England’s policies of non-discrimination and equity and will be applied fairly to all people, regardless of age, disability, gender identity or reassignment, marital or civil partnership status, being pregnant or recently becoming a parent, race, religion or beliefs, sex or sexual orientation, length of service, whether full or part-time or employed under a permanent or a fixed-term contract or any other relevant factor.   Genomics England does not tolerate any form of discrimination, harassment, victimisation or bullying at work. Such behaviour is contrary to