3 days ago
London Competitive Permanent
Job Reference: LDSGEL_1626881611
Lead Genomics Data Scientist - Diversity
This is an exciting opportunity to join a world-leading genomics organisation based in London. There is a fundamental ethical point about equity of access to the best health insights, and today that equity is challenged by the fact that many personalised medicine findings only apply to European ancestry groups because those are the genomic datasets that have been used for research.
In order to do this, there are at least 3 things that are needed:
*Engage meaningfully with the communities that are underrepresented today; listen to them, work with them to understand any areas of hesitation and create meaningful opportunities for them to participate in research
*At the same time, work with researchers and clinical teams to understand and lay out the specifics of what would be needed to ensure insights are transferrable across different communities (this may flag other datasets beside DNA that we need to bring into our research environment).
*Then, do the actual sequencing, data wrangling and analytical tool development to enable research and insights to be generated so that they are relevant for all of our communities
The lead will work with internal and external stakeholders, a small group of genomics data scientists and other teams within the company to shape diverse genomes analytics within the company and to create tools to improve genomic medicine and enable research in genomics in underrepresented populations.
Key Accountabilities Include:
*Contribute to shaping a pragmatic and ambitious programme to deliver impact within 12 months (and interim progress within 6 months to feed into future bidding processes), working with the internal teams, along with a wide range of external stakeholders, such as external users - clinical scientist, clinicians, academic and non-academic researchers.
*Lead the analysis arm of the diversity programme, ensuring high relevance and excellent standards of genomic analysis and tools.
*Develop, prototype, and validate new features for genome analysis enabling better diagnostics, clinical management and research in underrepresented populations in collaboration with internal and external stakeholders
*Lead a small team (likely 2-3 genomics data scientists) to deliver on genomics data analysis for diversity programme and analytical tool development
*Communicate with internal and external stakeholders, in particular research and clinical community, to ensure the relevance to planned analysis, tools and results
*Support and organise project workshops and meetings, including organising and producing agenda, presentations, actions.
*Disseminate the programme results to clinical and research communities, e.g. via presentations in conferences, publications, etc.
Essential Skills Include:
*PhD and at least 3 years of postdoctoral experience, or equivalent experience in at least one of the following: Genetics/Genomic with a strong computational component, Statistical genetics, Genetic epidemiology, Bioinformatics with the focus on human genomics
*Experience in human population genetics or genetic epidemiology, ideally with the focus on diverse populations (e.g. ancestry inference, genetic mapping in stratified populations, polygenic risk scores in diverse populations, etc)
*Deep and demonstrable commitment to diversity in general, along with a solid understanding of the issues presented by a lack of diversity in the genomic and health data space
*Experience in successfully leading genomic research project from the inception to deliverables, demonstrated e.g. by a good publication record
*Deep understanding and hands-on experience of a broad range of bioinformatic techniques and approaches
*Excellent knowledge of NGS analysis methods and pipelines
*Strong knowledge of statistics and/or machine learning
*Strong programming skills (Python, R)
*Experience in handling large data sets
*Experience of data management for operational and scientific problem-solving
There are some great benefits on offer with this role including the opportunity to work with one of the most ground-breaking genomics organisations in the country. There is a substantial pension scheme, competitive salary and generous holiday allowance.
Please do not hesitate to contact Harvey Uppal at firstname.lastname@example.org or call (+44) 121 616 3407 to discuss this opportunity further.
Keywords: Genomics, Bioinformatics, Statistical, Genetics, Population, Cohorts, Data, Science, Biostatistics, Diversity, Human, Epidemiology, WGS, GWAS, Clinical, NGS, Leadership, London.