Statistical Geneticist
London, England, United Kingdom
⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️
Full Time Entry-level / Junior GBP 48K
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- @ukfuturehealth 𝕏
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Our Future Health
We’re bringing together up to five million people to develop new ways to prevent, detect and treat diseases.Our Future Health will be the UK’s largest ever health research programme, bringing people together to develop new ways to detect, prevent, and treat diseases. Diseases like cancer, dementia, diabetes, and heart disease affect the lives of many people in our communities. Our goal is to create a world-leading resource for health research, to improve our understanding and spot the patterns of how and why common diseases start, so treatments can begin sooner and be more effective.
We are looking for a Statistical Geneticist / Genetic Data Analyst to support the design and build of high quality genetic products. You will collaborate with multidisciplinary teams of product managers, software & data engineers, lab operations, and quality assurance, providing your methodological and quantitative expertise in genetic data analysis to help the delivery of the largest ever health research programme in the UK.
The main responsibilities of the role will be to work as a member and representative of the Our Future Health Science team to:
- Support in delivery of genetic data related initiatives within the Genetic Data (GD) squad and the Labs-to-Data (L2D) working group.
- Develop methods to enhance the Our Future Health resource with improvements to the genotyping pipeline and our existing genetic data products.
- Provide expert support and insights into our genetic data to other colleagues or teams that are working to manage genotyping operations and develop data products for Our Future Health.
This will require you to:
- Support the genotyping programme by working with internal and external stakeholders to troubleshoot and resolve data quality issues or non-conformances.
- Contribute to the adaptation and development of genetic data processing methodologies and pipelines.
- Contribute to writing documentation and peer-reviewed publications describing the design and conduct of the genetic data programme.
- Collaborate with the Analytics team to further develop our internal tracking and monitoring capabilities for genetic data
- Derive insights into our genetic data in order to support the ongoing mission of providing high quality genetic data to Our Future Health researchers
- Lead or contribute to projects undertaken by the team, and propose ideas for new projects to enhance the programme and support users of the resource
- Collaborate with colleagues in cross-functional teams to work on multiple simultaneous projects in the design and development of the Our Future Health genetic data resource
- Disseminate progress on work to internal and external stakeholders
- Contribute to the development of the broader scientific strategy as the programme evolves
- Keep abreast of research in the fields of genomics and in best practices for genetic data analysis
Requirements
Essential
- A PhD or MSc with relevant experience in genetic epidemiology, genomics, biostatistics, or a closely related subject.
- Experience in analysis of genetic, phenotypic or other omic data.
- Understanding of quantitative methods in genetic epidemiology.
- Familiarity with standard data analysis tools/software commonly used used in genetic epidemiology.
- Proficiency in one or more scripting languages for data analysis (preference for R or Python).
- Strong interpersonal skills with demonstrated ability to work effectively as part of a team.
Desirable:
- Experience in using databricks, JupyterLab or other notebook-based analysis environment in the cloud.
- Proficiency with R/python for data visualisation and statistical analysis.
- Experience working closely with external data suppliers to define service requirements, resolve non-conformances etc.
- Experience of contributing to scientific publications/presentations.
- Experience with following code best practices; code versioning, code review, GitHub etc.
- Experience working within a multidisciplinary team and communicating with technical and non-technical stakeholders.
- Experience of working with relational databases, particularly PostgreSQL.
Let's prevent disease together.
Closing date for applications : 8th August.
We recommend you apply as soon as possible as occasionally due to high volumes of applications, we need to close our postings early.
At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long-term health conditions to let us know if they require any reasonable adjustments as part of their application process.
If you do require any reasonable adjustments, please email us at talent@ourfuturehealth.org.uk
Benefits
- Salary from £48,000.
- Our Statistical Geneticist work remotely from anywhere within the UK with 1 day a month in our Holborn office.
- Generous Pension Scheme – We invest in your future with employer contributions of up to 12%.
- 30 Days Holiday pro rata + Bank Holidays – Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you.
- Enhanced Parental Leave – Supporting you during life’s biggest moments.
- Cycle to Work Scheme – Save 25-39% on a new bike and accessories through salary sacrifice.
- Home & Tech Savings – Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice
- £1,000 Employee Referral Bonus – Know someone amazing? Get rewarded for bringing them on board!
- Wellbeing Support – Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family.
- A Great Place to Work – We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements.
Tags: Biostatistics Data analysis Databricks Data quality GitHub Jupyter PhD Pipelines PostgreSQL Python R RDBMS Research Statistics
Perks/benefits: Flex hours Health care Parental leave Salary bonus Startup environment
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