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POSTDOCTORAL RESEARCH ASSOCIATE

Job ID: 042345 Salary: £38,826 – £42,087 per annum including London Weighting
Allowance Posted: 01-Mar-2022 Closing date: 01-May-2022
Business unit: Faculty of Life Sciences & Medicine Department: Stem Cells &
Regenerative Medicine Contact details: Dr Mahesh Sangrithi,
Mahesh.sangrithi@kcl.ac.uk
location Guy's Campus category Research
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JOB DESCRIPTION


JOB DESCRIPTION

A Postdoctoral Research Associate (PDRA) – Computational biology position is
available in the Centre for Gene Therapy and Regenerative Medicine, King’s
College London. This is an exciting opportunity to join an interdisciplinary
team of scientists working on a Wellcome Trust funded research programme aimed
at studying the mammalian germ cell niche in its complexity using a combination
of cutting-edge cellular / molecular models and computational approaches.
 
The postdoc will work under the supervision of Dr. Mahesh Sangrithi and play a
key role in setting up an innovative inter-disciplinary strategy able to analyse
and integrate different omics data sets, and further amalgamating these with
phenotypic data. The project will employ state of the art genomics, statistical
and bioinformatics approaches to discover factors and pathways that regulate
germline development.
 
The post holder will be involved with the analysis and integration of high
throughput genomics data, such scRNA-seq, scATAC-seq, ChIP-seq as well as
spatial data. They will also contribute to the overall regenerative medicine
theme via participation in projects with scientists and other bioinformaticians
in the host lab and the department.
 
We are looking for an ambitious candidate with established expertise in
bioinformatics, specifically dealing with large omics data sets and data
integration. Their will have solid programming skills, expert knowledge of
scripting languages such as R and / or Python and proficiency in working on
high-performance Linux clusters.
 
Applicants should have a recent Ph.D. degree or should have submitted their
thesis.
 
For informal enquiries regarding suitability for the position, please contact
the group leader Dr. Mahesh Sangrithi (Mahesh.sangrithi@kcl.ac.uk ).
  https://www.kcl.ac.uk/research/reproductive-biology-and-stem-cells-lab
 
About the Faculty:
King’s College London Faculty of Life Sciences and Medicine is one of the
largest and most successful centres for research and education in the UK. It
consists of over 2000 staff and 5000 students within seven Schools and two
Schools of Education.
Centre for Gene Therapy and Regenerative Medicine (CGTRM) Department: ( 
https://www.kcl.ac.uk/bmb/our-departments/centre-for-gene-therapy-and-regenerative-medicine)
CGTRM is located on the Guy’s Hospital Campus in central London. It acts as a
nucleus for vibrant research community spanning the entire University and the
NHS Foundation Trusts of King’s Health Partners Academic Health Sciences Centre.
The goal of CGTRM is to bring together researchers with diverse skill sets and a
common interest in elucidating the extrinsic and intrinsic signals that regulate
stem cell behaviour.
 
Research Computing Infrastructure at KCL:
  https://rosalind.kcl.ac.uk/
  https://www.nvidia.com/en-gb/industries/healthcare-life-sciences/cambridge-1/ 
 
ABOUT THE KCL / NIHR Biomedical Research Centre:
Within the Biomedical Research Centre (BRC) at Guy's  and St Thomas' NHS
Foundation Trust the Population Science Cluster, led by Professor Robin Ali,
provides interdisciplinary skills in public health, primary care, epidemiology,
statistics, health economics and social sciences for research and training.
 
https://www.kcl.ac.uk/lsm/research/divisions/hscr/research/biomedical-research-centre-(brc) 
 
This post will be offered on a fixed term for 1 year, and potentially be
extended for up to 3 yrs.
Excellent candidates from the EU and internationally are welcome to apply, and
may be considered via the Global Talent visa scheme.
From: 1 May 2022
This is expected to be a full-time post (100% full time equivalent).



KEY RESPONSIBILITIES: 

 * Data and statistical analysis using existing tools and custom
   scripts/pipelines  
 * Create pipelines to process, analyse and integrate multiple omics datasets
   and cell biology data. 
 * Analyse and interpret data 
 * Apply statistical approaches 
 * Provide guidance to support students who may be assisting with the research 
 * Support the team and contribute to the research programme with data-driven
   decisions 
 * Keep an excellent record of analysis 
 * Prepare and present data to colleagues and other scientists 
 * Contribute to the production of research reports 
 * Contribute to collaborative atmosphere of the department. 

 
The above list of responsibilities may not be exhaustive, and the post holder
will be required to undertake such tasks and responsibilities as may reasonably
be expected within the scope and grading of the post.  


SKILLS, KNOWLEDGE, AND EXPERIENCE 

Essential criteria
 
1.    PhD degree  
2.    Experience with the analysis and the interpretation of high-throughput
sequencing data. 
3.    Experience with dataset integration. 
4.    Understanding of both science and informatics. 
5.    Good knowledge of statistics. 
6.    Expert knowledge of a scripting language (Perl or Python) and R. 
7.    Proficiency in working on high-performance Linux clusters (including bash
scripting). 
8.    Excellent record keeping and attention to details. 
9.    Self-motivate, enthusiastic and problem-solving attitude. 
10.  Good oral and written communication skills. 
11.  Good presentation skills. 
 
Desirable criteria 
 
1.  Experience with handling single-cell datasets and / or integrating different
datasets. 
2.  Strong motivation and team spirit. 
3.  General knowledge in biology, strong interest in solving biological
questions related to “omics” technologies using computational approaches 
 
 
* Please note that this is a PhD level role but candidates who have submitted
their thesis and are awaiting award of their PhDs will be considered. In these
circumstances the appointment will be made at Grade 5, spine point 30 with the
title of Research Assistant. Upon confirmation of the award of the PhD, the job
title will become Research Associate and the salary will increase to Grade 6.
 
Further information
Candidates are strongly encouraged to include a personal statement of previous
and future research interests along with the application (CV, List of
publications and the contact information of two or more references).





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