Salary
£36,386 to £43,155 (pay award
Location
Liverpool, IN, United States
Posted on
May 31, 2023
Profile
Computational Biology Data Scientist (Grade 7)
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- Liverpool Shared Research Facilities
Location:
Liverpool
Salary:
£36,386 to £43,155 (pay award pending)
Hours:
Full Time
Contract Type:
Permanent
Placed On:
31st May 2023
Closes:
30th June 2023
Job Ref:
059986
We are looking for a research specialist in systems biology, computational biology or similar discipline to contribute to the different scientific projects that the Computational Biology Facility (CBF) undertakes. The ideal candidate will have experience analysing multivariate datasets, particularly from research environments. This could include the analysis and integration of omics datasets, including single cell analysis, large compendia of sequenced genomes and/or metadata analysis amongst others.
You will work closely under the director and manager’s guidance and engage with scientific leads of relevant departments and centres within the Faculty to plan and deliver a wide portfolio of research projects. You will engage with the manager/s to coordinate projects and develop pipelines ensuring outputs are completed in a robust scientific timely manner. The CBF operates as a research environment that encourages working independently, supports knowledge expansion and scientific curiosity. You will be part of a supportive team of data scientists and software developers that allow for professional development and information sharing opportunities.
As part of the role you will be expected to actively contribute to the existing research activity within the Facility and collaborate with other academic institutes and institutions. You will have the opportunity to develop collaborative and interdisciplinary links that align with the research projects in the CBF.
You may also be involved in training groups and individuals in the analytical pipelines you have developed and have experience in as well as teaching the current CBF courses and providing new materials as directed by management.
You should have a PhD in systems biology, bioinformatics or a relevant science discipline or have equivalent work experience. You should have a commitment to high quality research and be highly motivated to work in multidisciplinary teams.
Job Ref: 059986 Closing Date: 30 June 2023
For full details and to apply online, please visit:
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