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Python Modeller - London, United Kingdom - Genomics England
Description
Genomics England partners with the NHS to provide whole genome sequencing diagnostics.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.
We're recruiting for an Economic Modeller to join our team, this is a role which offers an exciting opportunity to support our work via the development of economic models that assess the costs and benefits of Genomics Englands' initiatives, including the new and exciting Generation Study.
Building, refining, and managing detailed economic models based on theories of change to explain and support the benefits of GEL's endeavors across healthcare, the public sector, and the wider economy.
These models primarily utilse Excel, including VBA, with potential integration of R or Python.Utilising national health economic data and Genomics England-specific data to gauge the macro-economic impact of integrating genomic medicine into the NHS.
Conducting comprehensive research and critical appraisal of medical and economic literature to identify suitable model inputsPresenting model outputs to senior internal and external stakeholders.
Supporting business development and funding application endeavors by furnishing analytical insights and data.
Offering data-directed guidance and recommendations to the executive team on pertinent inquiries.
Knowledge and experience of building economic models, such as budget impact and/or patient simulation models, and executing economic analyses
Excellent working knowledge of Microsoft Office (Excel and VBA in particular)
Ability to quickly interpret and manipulate raw data, provide analysis & conclusions and present it in an accessible wayDesirable skills:
A good grasp of health economic principles, and ability to apply these to projects
Experience of having applied economic and mathematical modelling techniques in a healthcare setting
Experience performing statistical analysis using software such as R, Python or SQLThe closing date for this role is 22nd May 2024.
Minimum degree level (or equivalent) in economics, mathematics, or related field
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.
30 days' holiday (plus bank holidays), with additional days for long service awards
A generous pension scheme of up to 15% combined contribution
Life Assurance (3 x salary)
Individual learning budgets for every colleague, a Blinkist account and a wide variety of courses on our portal
A wide variety of wellness benefits including Gympass, a Headspace account, free weekly Yoga classes
LI-Hybrid
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.
Such behaviour is contrary to , undermines our mission and core values and diminishes the dignity, respect and integrity of all parties.
There is no expectation that staff will return to the office full time unless they want to, however, some of our roles require you to be on site full time 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.
As part of our recruitment process, all successful candidates are subject to a Standard Disclosure and Barring Service (DBS) check.