Data Scientist NIHR BioResource (Fixed Term)

University of Cambridge; Cambridge; Híbrido; GBP 45.000 - 65.000; Jornada completa

Descripción de la vacante

The University of Cambridge invites applications for a Data Scientist to provide data to researchers in academia and industry, through cohort discovery by mining phenotypic and genomic data, and to manage metadata assets of the NIHR BioResource projects.

You will link omics and clinical data to enable participant selection, contribute to complex linkage experiments, prepare de-identified datasets for recall and for release to researchers, and discuss data protection standards with researchers.

Formación

• Experience with phenotypic and genomic data and database modelling.
• Proficient in Python with Pandas and NumPy.
• Knowledge of Linux and shell scripting.
• Ability to prioritise and plan work, meet deadlines, and work unsupervised.

Responsabilidades

• Link omics data with biomedical, demographic and phenotypic data to enable participant selection for proposed research studies.
• Contribute to complex linkage experiments where omics data is joined to sample holdings and rich clinical phenotype.
• Prepare datasets for recall-based research studies identifying potential volunteers.
• Prepare de-identified datasets for release to researchers.
• Discuss data protection, anonymisation and security standards with researchers.

Conocimientos

Python programming

MySQL

NoSQL

Pandas

NumPy

Linux

Shell scripting

Descripción del empleo

Do you have great skills and experience organizing and managing data? Interested in a rolecontributing to improve lives? Looking for your next challenge?

We are recruiting a Data Scientist to provide data to researchers in academia and industry,through cohort discovery by mining phenotypic and genomic data, and to manage metadata assetsof the NIHR BioResource projects under the guidance of the line manager.

To succeed in this role, you will need to be experienced in the manipulation of big and/or genomicsdata, the analysis and integration of different data types and the use of meta-data standardsand vocabularies.

About NIHR BioResource

Our mission is to facilitate human health research and its transformation into medical practice.

NIHR BioResource is a unique and powerful resource for studying disease mechanisms and for investigatingthe links between genes, the environment, health and disease, enabling scientific discoveries as well asfacilitating translational medicine for the benefit of patients.

Further details on the NIHR BioResource, including some of our COVID-19 research studies, can be found on ourwebsite https://bioresource.nihr.ac.uk.

About the job

You will be responsible for:

• Linking of omics data (especially genomics) and biomedical, demographic, and phenotypic data that form amajor part of NIHR BioResource data assets to enable participant selection for proposed research studies
• Contribute to more complex linkage experiments, e.g. where omics data is joined to sample holdings and richclinical phenotype
• Prepare datasets for recall-based research studies identifying potential volunteers
• Prepare de-identified datasets for release to researchers
• Discussions with researchers re expected standards on data protection, anonymisation and security

About you

Ideally you will have:

• Experience and in-depth knowledge of phenotypic and genomic data and database modelling with proficiency in MySQLand No-SQL or equivalent
• Proven programming ability in Python is a must with experience in using libraries (such as Pandas and Numpy)
• Good knowledge of Linux and shell scripting
• Ability to prioritise and plan work efficiently and meet deadlines and work unsupervised

What we offer

The University offers a wide range of benefits including flexible working, family friendly policies, an attractive pension scheme (employer's contribution is 14.5%) and 41 days' annual holiday (inclusive of public holidays). We encourage career development by providing extensive training & development opportunities.

This appointment is full-time, 37 hours per week; part-time to 80% will be considered. Work / life balance is important, and we are open to discussion on flexible working, including hybrid working.

The post is available on a fixed‑term basis until 31 March 2028 in the first instance. NIHR BioResource is funded by the National Institute for Health & Care Research (NIHR) on a 4-year funding cycle.

Our offices are on the Cambridge Biomedical Campus CB2 0QQ (approximately 2 miles south of the city centre).

See the Further Information link below for full details and Person Specification.

This appointment requires a Research Passport application.

We encourage informal queries about the job or the application process - please contact Stephane Ballereau, Lead Bioinformatician, [e-mail].

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.