Data Wrangler (we have office locations in Cambridge, Leeds & London) at Genomics England

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

51300.0

Posted On

16 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Wrangling, Data Processing, Data Quality, Data Pipelines, Cloud Technologies, Python, SQL, Data Visualization, AWS, Healthcare Data Models, Continuous Integration, Continuous Deployment, Data Management, Statistics, Data Solutions, Data Transformation

Industry

Biotechnology Research

Description

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 Description Are you interested in working with large scale data sets and impacting the future of genomic healthcare? We are currently recruiting for a Data Wrangler to join us here at Genomics England! As a Data Wrangler, you will specialise in optimising the performance and seamless movement of large data volumes using specialist tooling. You will be responsible for curating and transforming datasets, generating key statistics, and deriving new datasets tailored for diverse audiences. This role will also include managing data workflows, developing and maintaining data pipelines, collaborating with cross-functional teams to understand data requirements, and ensuring data integrity. Additionally, you will explore new technologies and contribute to knowledge sharing across the Data Chapter. Key responsibilities Design and build data solutions that deliver the business needs and requirements across clinical and research domains Extract transform and load data to support research and clinical practices Generation and derivation of statistics and data visualisations to support data driven decision making Codifying repeatable data processes, increasing productivity and efficiencies and supporting the standards for data usage throughout Genomics England Ensure data quality is at the centre of data delivery, using processes including automated routines and self-healing/monitoring Implementation and adherence to software development best practices Developing testing routines and datasets to ensure robust and consistent product delivery Developing healthcare data models and associated artifacts Managing associated data storage and management solutions ensuring the optimum architecture exists to support data solutions Working with Cloud First technologies to leverage the latest data healthcare solutions Example tooling Cloud: AWS or equivalent Cloud experience Data Processing: AWS Glue, Python, SageMaker, Prefect Data models: XML, JSON, HL7, FHIR, OMOP Databases: AWS S3 & Athena, AWS DynamoDB, AWS RDS, AWS Aurora (Postgres) Continuous deployment: AWS Lambda, Docker, Kubernetes Languages: Python, SQL Visualisation software: Tableau Practices: DMBOK2, Continuous Integration/Continuous Deployment (CI/CD) Qualifications Ideally, a Master’s degree or equivalent experience working in data management, biostatistics, clinical informatics or data analysis. Additional Information Salary from: £51,300 Closing Date: Monday 27th October at 23:00 (UK time) 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 our virtues, undermines our mission and core values and diminishes the dignity, respect and integrity of all parties. Our People policies outline our commitment to inclusivity. We aim to remove barriers in our recruitment processes and to be flexible with our interview processes. Should you require any adjustments that may help you to fully participate in the recruitment process, we encourage you to discuss this with us. Blended working model Genomics England operates a blended working model as we know our people appreciate the flexibility that hybrid working can bring. We expect most people to come into the office a minimum of 2 times each month. However, this will vary according to role and will be agreed with your team leader. There is no expectation that people will return to the office full time unless they want to, however, some of our roles require full time on site attendance e.g., lab teams, reception team. Our teams and squads have, and will continue to reflect on what works best for them to work together successfully and have the freedom to design working patterns to suit, beyond the minimum. Our office locations are: Canary Wharf, Cambridge and Leeds. Onboarding background checks As part of our recruitment process, all successful candidates are subject to a Standard Disclosure and Barring Service (DBS) check. We therefore require applicants to disclose any previous offences at point of application, as some unspent convictions may mean we are unable to proceed with your application due to the nature of our work in healthcare.

Responsibilities

As a Data Wrangler, you will specialize in optimizing the performance and seamless movement of large data volumes. You will be responsible for curating and transforming datasets, generating key statistics, and deriving new datasets tailored for diverse audiences.