Bioinformatician - Single-cell Analysis
Post Details
Job Title
Bioinformatician - Single-cell Analysis
Post Number
1004141
Closing Date
13 Dec 2021
Grade
SC6
Starting Salary
£32,578 - £39,938
Hours per week
37
Project Title
Identifying unique regulatory elements related to polymorphic imprinting and gestational aging in the placenta
Expected/Ideal Start Date
01 Feb 2022
Months Duration
36

Job Description

Main Purpose of the Job

The successful candidate will join an exciting collaborative project which will explore epigenetic and transcriptomic diversity in the placenta, with the aim of identifying the mechanisms regulating placenta-specific imprinted gene expression. The project will use cutting edge multi-omics approaches to understand the unique epigenetic dynamics of the placenta during gestation.

Based at EI and working closely with researchers from the Monk (UEA), Haerty (EI) and Macaulay (EI) groups, the main purpose of the job is to provide expertise and innovation in the analysis of:

•     Epigenomic data (single-cell/cell-type specific DNA methylation, CUT&TAG, capture Hi-C)
•     Transcriptomic data (scRNA-seq and low-input RNA-seq) and
•     Multi-omic data (e.g. scM&T-seq)

The postholder will be expected to use the extensive HPC resources at EI to implement existing analysis tools for these data types and will ideally be comfortable and enthusiastic about identifying and developing new approaches for the analysis, integration and visualisation of novel datasets and datatypes.

The postholder will be part of an active cellular genomics research programme at both UEA and EI and will have opportunities to work closely with wet-lab scientists to shape the direction of the research and to engage with other ongoing projects. There will be significant opportunities for training and development, and the postholder will be able to contribute to formal training events and scientific meetings held at UEA and EI.

Key Relationships

Internal: Group leaders at UEA and EI, EI’s Director and Senior Management Team. EI’s Science Faculty groups and communications and training teams; faculty groups and other staff at UEA.

External: Collaborators, Senior visitors to EI, collaborators, conference attendees, BBSRC and other key stakeholders

Main Activities & Responsibilities

Percentage
Act as a key technical resource to lead analysis and apply expertise to contribute to the completion of assignments as part of this research project. Providing expertise and innovation in the analysis of: • Epigenomic data (single-cell/cell-type specific DNA methylation, CUT&TAG, capture Hi-C) • Transcriptomic data (scRNA-seq and low-input RNA-seq) and • Multi-omic data (e.g. scM&T-seq)
50
Actively engage with the technical and biological questions in the field of single-cell genomics relating to and beyond the project.
20
Collaborate with colleagues within the Institute in the development of original and world-class research, including contributing to research proposals and grant applications.
15
Disseminate research findings though presentations to various audiences at internal, national and international meetings
5
Ensure research and record keeping is carried out in accordance with good practice, Scientific Integrity and in compliance with local policies and any legal requirements
5
Prepare results, reports and manuscripts for publication in leading scientific journals and other relevant media
5
As agreed with line manager, any other duties commensurate with the nature of the role

Person Profile

Education & Qualifications

Requirement
Importance
PhD in bioinformatics, computational biology or related subject
Essential

Specialist Knowledge & Skills

Requirement
Importance
Demonstrable expertise in at least one of the following programming languages: Python, Java, C++, R
Essential
Experience in Linux and in shell scripting
Essential
Experience of transcriptomic, genomic or epigenomic analyses
Essential
Experience with single-cell genomic data analysis
Essential
Excellent problem solving skills with the ability to solve problems with numerous and complex variables
Essential
Solid understanding of statistics for biology
Essential
Excellent record-keeping and time management skills to work on several different projects at the same time
Essential
Comfortable and enthusiastic about identifying and developing new approaches for the analysis, integration and visualisation of novel datasets and datatypes
Desirable

Relevant Experience

Requirement
Importance
Experience in genomics or genetics projects
Essential
Experience with next generation sequencing (RNA-Seq, DNA-Seq) and large-scale data analysis
Essential
Experience with single-cell genomics analysis
Essential
Demonstrable experience of bioinformatic analysis of genomic, epigenomic and/or transcriptomic data
Essential

Interpersonal & Communication Skills

Requirement
Importance
Excellent oral and written communication skills
Essential
Evidence of presenting research findings to internal and external audiences
Essential
Able to communicate with an interdisciplinary group including data analysts, computer scientists and biologists
Essential
Good interpersonal skills, with the ability to work well as part of a team
Essential
Networking and influencing skills and the ability to build effective collaborative links
Essential

Additional Requirements

Requirement
Importance
Attention to detail
Essential
Promotes equality and values diversity
Essential
Willingness to participate in occasional training of other institute members and visitors, and as part of formal training programmes hosted at the institute
Essential
Willingness to work outside standard working hours when required
Essential
Willingness to embrace the expected values and behaviours of all staff at the Institute, ensuring it is a great place to work
Essential
Able to present a positive image of self and the Institute, promoting both the international reputation and public engagement aims of the Institute
Essential

Who We Are

Earlham Institute

Earlham Institute is a vibrant, contemporary research institute and registered charity, working in an area of rapid technological development and innovation.

Earlham Institute is strategically funded by the BBSRC to lead the development of a skill base in bioinformatics and a genomics technology platform for UK bioscience. The Institute is located on the Norwich Research Park, together with its partners: the John Innes Centre, the Institute of Food Research, The Sainsbury Laboratory, the University of East Anglia and the Norfolk and Norwich University Hospital. The research park has an excellent reputation for research in plant and microbial sciences, interdisciplinary environmental science and food, diet and health, to which Earlham Institute contributes strengths in genomics and bioinformatics. Close links exist between the NRP partners and new opportunities for collaboration in exciting new initiatives are under development. The NRP recently received £26M of government investment to facilitate innovation and further develop infrastructure to attract science and technology companies to the Park to enhance the vibrant environment and realise economic impact from research investment.

Earlham Institute is a UK hub for innovative Bioinformatics through research, analysis and interpretation of multiple, complex data sets. It hosts one of the largest computing hardware facilities dedicated to life science research in Europe. This has been boosted recently by an e-Infrastructure grant to expand the data storage capacity to a multi-petabyte unit, deploying a high performance cluster and large-memory server enabling the allocation of processes requiring several terabytes of computing memory.

Earlham Institute’s state of the art DNA sequencing facility operates multiple complementary technologies for data generation that provide the foundation for analyses furthering our fundamental understanding of genomes and how they function. We aim to be at the forefront of technological advances and are developing and implementing technologies to generate and analyse new types of data. We also develop novel platforms to provide access to computational tools and processing capacity for multiple academic and industrial users and promoting applications of computational bioscience. Earlham Institute has one fully owned subsidiary, Genome Enterprise Ltd (GEL) via which it offers genomic and bioinformatics services on a trading basis and works with commercial providers on a partnership basis. Earlham Institute also receives specific funding to enable knowledge exchange programmes which are supported across the institute teams.

Department

Engineering Biology

Group Details

The postholder will work in the Macaulay and Haerty groups at EI, which focus on experimental and computational method development for single-cell genomics, and furthermore will work closely with the group of David Monk at UEA, who work on the epigenetics of placental cells. The three groups are working closely on this project to develop new approaches to understand the unique regulatory landscape of placental cells.

Management and Leadership

Requirement
Importance
Evidence of introducing new ways of thinking and encouraging continuous improvement in ways of working
Desirable

Living in Norfolk

Advertisement

Advert Text

Bioinformatician - Single-cell Analysis

Applications are invited for a Bioinformatician to join the Laboratory of Dr Iain Macaulay and Dr Wilfried Haerty in the Engineering Biology Programme at the Earlham Institute, based in Norwich, UK.

Background:

The Macaulay and Haerty groups focus on experimental and computational method development for single-cell genomics. The role will also work closely with the group of Dr David Monk at UEA, who works on the epigenetics of the placenta. The three groups are working closely on this project to develop new approaches to understand the unique regulatory landscape of placental cells.

The role:

The successful candidate will join this exciting collaborative project, which will explore epigenetic and transcriptomic diversity in the placenta, with the aim of identifying the mechanisms regulating placenta-specific imprinted gene expression. They will analyse and integrate single-cell and cell-type specific epigenomic (DNA methylation, CUT&TAG, capture Hi-C), transcriptomic data (scRNA and low-input RNAseq) and multi-omic data (scM&T-seq) to produce a unique epigenetic and transcriptomic landscape of placental development.

The post will be based at EI but will but will be part of a close collaboration between the three research groups. The successful candidate will work with members of each group on a regular basis and will be involved in the complete lifespan of the experiments, from design through to publication.


The ideal candidate:

The ideal candidate will have a PhD in bioinformatics, computational genomics or a related subject. They will have demonstrable experience working with genomic/epigenomic/transcriptomic data, and experience with single-cell genomics analysis. The candidate should have a demonstrable expertise in programming with Python or R.

Additional information:

Salary on appointment will be within the range £32,578 to £39,938 per annum depending on qualifications and experience. This is a full time post for a contract of 36 months.

For further information and details of how to apply, please visit our website http://jobs.earlham.ac.uk/ or contact the Human Resources team on 01603 450462 or nbi.recruitment@nbi.ac.uk quoting reference 1004141

As a Disability Confident employer, we guarantee to offer an interview to all disabled applicants who meet the essential criteria for this vacancy.

The closing date for applications will be 13th December 2021.