Genomic Data Scientist (we have office locations in Cambridge, Leeds & London)Genomics England • Canary Wharf, England, United Kingdom

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Genomic Data Scientist (we have office locations in Cambridge, Leeds & London)

Genomics England

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Canary Wharf, England, United Kingdom

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Canary Wharf, England, United Kingdom

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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 We are seeking a Genomic Data Scientist to join our Bioinformatics Consulting team to work on a range of genome analysis and interpretation projects with an emphasis in rare or complex disease, in collaboration with and on behalf of our external researchers and industrial partners.  In this role, you will work as part of multidisciplinary teams to develop and execute cutting edge projects that leverage Genomics England datasets to address research goals such as drug target identification, biomarker discovery, diagnostic discovery, and patient stratification. You will contribute to the scoping, implementation, and application of state-of-the-art approaches for analysis of genomic and other omics modalities, in both leading and supporting capacity. As an expert user of our datasets and research environment, you will develop and fine-tune tools and pipelines to perform custom computational analyses, generate new data and contribute to high quality reports and documentation. Everyday responsibilities include: Preparing data for downstream analysis, e.g. through quality control, functional annotation, aggregation, harmonisation across different datasets. Planning and supporting analyses to meet project objectives with internal teams and external stakeholders. Providing support to internal teams and collaborators and being the point of reference for genomic datasets and analytical approaches. Performing custom computational analyses on whole genome sequencing and other omics data, such as GWAS, aggregate variant testing, meta-analysis, differential abundance, fine-mapping and MR. Researching the scientific literature, identifying new approaches to processing and analysis of genomics and multi-omics data, benchmarking and improving tools. Contributing to the publication and dissemination of findings via scientific papers, white papers and conference presentations. Skills and experience for success: Strong programming skills (R, Python) and solid background of statistical genetics. Demonstrable experience using whole genome sequencing data in the context of human genetics. Strong background in human disease genetics, preferably in rare or complex disease, demonstrated by publication record or industry track record.  Demonstrable experience in working with long read sequencing data (preferred) or other omics modalities. Proven track record in one or more areas of human germline DNA analysis such as genetic association testing, population genetics, pharmacogenomics, rare disease genomics, structural variation analysis, working with complex genomic regions such as HLA/KIR/PGx.  Experience with working in the cloud, building containers, and running pipelines using workflow languages (ideally Nextflow). Proven ability to communicate with stakeholders from diverse backgrounds (e.g. management, IT, R&D, biology, bioinformatics) and keep track of customer relationships, and a clear understanding of clinical and phenotypic data management and the sensitivities surrounding patient cohort data.  Excellent interpersonal skills, attention to detail, self-motivation, collaborative and delivery mindset  Qualifications A PhD involving one of the following: Statistical or Computational Genetics, Biostatistics, Population Genetics or equivalent quantitative discipline. Additional Information Salary from £55,000 Closing date for applications - Wednesday 10th September. 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

Wünschenswerte Fähigkeiten

Python
R

Canary Wharf, England, United Kingdom

Berufserfahrung

Data Engineer
Data Analyst
Data Scientist

Sprachkenntnisse

English

Hinweis für Nutzer

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