Research Associate in Bioinformatics
Faculty of Medical Sciences
You will join the research group of Prof Muzlifah Haniffa on functional genomics analysis of human tissues in health and disease within the Human Cell Atlas initiative (https://www.humancellatlas.org). The project will use cutting-edge functional genomics and proteomics technologies including single cell sequencing, spatial transcriptomics, high dimensional flow cytometry and imaging mass cytometry. The projects involve close collaboration with Dr. Sarah Teichmann, Wellcome Sanger Institute.
The post will be located in state-of-art laboratories housed within the Institute of Biosciences, Newcastle University and will have access to excellent dedicated core research facilities.
This post is tenable for up to 4 years. Informal enquiries to Prof Muzlifah Haniffa (M.A.Haniffa@newcastle.ac.uk).
As part of our commitment to career development for research staff, the University has developed 3 levels of research role profiles. These profiles set out firstly the generic competences and responsibilities expected of role holders at each level and secondly the general qualifications and experiences needed for entry at a particular level.
1. To provide high-level bioinformatic analysis for bulk and single cell sequencing datasets from human tissues.
2. Contribute to the delivery of research projects in the Haniffa group focused on the Human Cell Atlas (https://www.humancellatlas.org/) in close collaboration with Dr. Sarah Teichmann at Wellcome Sanger Institute.
3. Use of high-performance computing clusters to perform analyses.
4. Develop new implementations or algorithms (machine learning or otherwise) for analysis of single cell and spatial datasets. Deploy these algorithms for use by others both in-house and externally within new or existing open source packages.
5. Identify and develop suitable methods for the analysis of different datasets; develop collaborative networks to support analytical method development.
6. Provision of advice to and training of undergraduate and graduate students regarding the setting up of specific analytical systems and programming.
7. Present information on research progress and outcomes to a Principal Investigator or groups overseeing the research project.
8. Write up results from own research activity and provide input into the research project’s dissemination, in whatever form (report, papers, chapters, book).
9. Work to deadlines and manage, with support, competing priorities.
10. Work with other researchers in a team and actively participate in collaborative research.
11. May provide guidance as required to any support staff and/or research students.
The Person (Essential)
Knowledge, Skills and Experience
• Substantial theoretical and practical knowledge of programming in Python and/or R, scripting languages (e.g. Perl, Shell).
• Substantial practical knowledge of transcriptomic analysis including use of next generation RNA and DNA sequencing data (ideally including single cell transcriptomics).
• Good coordination, time management, analysis and presentation skills.
• Involvement in drafting manuscripts.
Attributes and Behaviour
• Demonstrates substantial bioinformatics skills applied to a broad range of computing and biological sciences.
• Keeps up to date with new / improved bioinformatics knowledge, skills, techniques and research.
• Possesses good written, oral communication, intellectual, numeracy and creative problem solving skills.
• Evidence of working with a multi-professional research team.
• Expectation and willingness to work outside normal office hours including weekends and to work away from main laboratory site including national and international collaborative visits.
• A PhD in Computer Science, Statistics, Mathematics, Biomedical Sciences, Physics or Engineering or a similar discipline with an interest in Life Sciences and experience in Bioinformatics and Programming.