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Machine Learning/Bioinformatics Postdoc Researcher

Employer
KINGS COLLEGE LONDON
Location
London (Greater) (GB)
Salary
£38,304 - £41,517 per annum, including London Weighting Allowance
Closing date
4 Jul 2021

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Academic Discipline
Biological Sciences, Life sciences
Job Type
Research Related, Research Associate
Contract Type
Fixed Term
Hours
Full Time

Job Details

Job description
The King’s College London British Heart Foundation (BHF) Centre of Research Excellence is designed to nurture interdisciplinary collaborations and bench-to-bedside projects in cardiovascular research. The Faculty of Cardiovascular Medicine & Sciences is a core constituent of the BHF Centre where the cardiovascular proteomics group is led by Prof. Manuel Mayr and the bioinformatics team is led by Dr. Konstantinos Theofilatos. The cardiovascular proteomics research group (http://www.vascular-proteomics.com/) is a state-of-the-art laboratory and has the latest mass spectrometry equipment, established computational infrastructure and high experience in proteomics and multi-omics cardiovascular research analysis projects. 
 
This position is referring to the approved BHF Project Grant “Harnessing machine learning for a multi-omics approach to cardiovascular disease” with the (PG/20/10387) of the Principal Investigators Dr. Konstantinos Theofilatos and Prof. Manuel Mayr. In the context of this Project multi-omics datasets that have already been developed by the Cardiovascular Proteomics Lab will be used to develop biosignatures and models for the assessment of cardiovascular risk as well as the diagnosis and prognosis of cardiovascular diseases including Myocardial Infarction and Atherosclerosis. The post-doctoral researcher will assist in the development of the novel machine learning and network analytics methods, proceed in their parallelization and their adjustment to make them compatible with cloud computing infrastructure, and assist in the overall analysis of the multi-omics data of the project. The hired researcher will collaborate for 6 months Prof. Chenlei Leng from the University of Warwick (https://warwick.ac.uk/fac/sci/statistics/staff/academic-research/leng/) for the development of co-expression network reconstruction techniques and other statistical analysis related tasks of the project. 
 
Applicants must hold a PhD in Bioinformatics/Machine Learning (or an equivalent scientific degree), be highly motivated, independent and senior enough to organise the work of students and integrate themselves into a team. Applicants must be experienced python programmers and have prior experience in parallelization and working with high performance computing infrastructures. Knowledge of cardiovascular diseases or Proteomics is desirable but not essential. 
When applying, please attach a personal statement to tell us why you are suitable for the role. 
If you have questions about this role, please contact: Dr. Konstantinos Theofilatos, Email: konstantinos.theofilatos@kcl.ac.uk 
 
This post will be offered on an a fixed-term contract for 2 years 
This is a full-time  post - 100% full time equivalent

Key responsibilities

  • Design and develop new dimensionality reduction/classification hybrid methods and pipelines for biomarker discovery from multi-omics datasets  
  • Design and develop new co-expression network construction methods 
  • Optimize, parallelize machine learning methods implementation and make them compatible for high performance computational infrastructures 
  • Perform statistical and bioinformatics analysis on multi-omics cardiovascular research related datasets from plasma, serum and tissue samples 
  • Visualize the results of analysis using scripting languages 
  • Supervise and coordinate students in machine learning and bioinformatics related projects 
  • Assist in the establishment and maintenance of a cloud computing infrastructure 
  • Contribute to writing high impact scientific manuscripts 

 
Skills, knowledge, and experience


Essential criteria 

  1. PhD in Bioinformatics, Machine Learning or an equivalent scientific degree 
  2. Ability to work effectively with multidisciplinary teams composes of bioinformaticians, molecular scientists, clinicians and biostatisticians 
  3. Previous experience on machine learning and bioinformatics 
  4. First author publication record in bioinformatics and/or machine learning related manuscripts 
  5. Experience in working with high performance computing infrastructure 
  6. Experience in working with scripting programming languages (Python and R) 
  7. Ability to work independently and balance competing priorities under pressure of deadlines and workloads  
  8. Good organisational and time management skills- strong planning and organisational skills including the ability to prioritise, manage multiple tasks   
  9. Excellent oral and written communication skills 

Desirable criteria 

  1. Previous experience in cardiovascular research 
  2. Previous experience in analyzing mass spectrometry proteomics datasets 

 
* 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
Applications from junior and senior postdoctoral researchers are welcomed for this position. The salary will be paid at Grade 6, £41,517 per annum, including London Allowance.  
The selection process will include a panel interview and a presentation. 
 
This post is subject to Disclosure and Barring Service.

Company

King's College London is one of the top 20 universities in the world and among the oldest in England. King's has more than 27,600 students (of whom nearly 10,500 are graduate students) from some 150 countries worldwide, and some 6,800 staff.

King's has an outstanding reputation for world-class teaching and cutting-edge research. In the 2014 Research Excellence Framework (REF) King’s was ranked 6th nationally in the ‘power’ ranking, which takes into account both the quality and quantity of research activity, and 7th for quality according to Times Higher Education rankings. Eighty-four per cent of research at King’s was deemed ‘world-leading’ or ‘internationally excellent’ (3* and 4*). The university is in the top seven UK universities for research earnings and has an overall annual income of more than £684 million.

King's has a particularly distinguished reputation in the humanities, law, the sciences (including a wide range of health areas such as psychiatry, medicine, nursing and dentistry) and social sciences including international affairs. It has played a major role in many of the advances that have shaped modern life, such as the discovery of the structure of DNA and research that led to the development of radio, television, mobile phones and radar.

King's College London and Guy's and St Thomas', King's College Hospital and South London and Maudsley NHS Foundation Trusts are part of King's Health Partners. King's Health Partners Academic Health Sciences Centre (AHSC) is a pioneering global collaboration between one of the world's leading research-led universities and three of London's most successful NHS Foundation Trusts, including leading teaching hospitals and comprehensive mental health services. For more information, visit: www.kingshealthpartners.org.

King’s £600 million campaign, World questions|KING’s answers, has delivered huge global impact in areas where King’s has particular expertise. Philanthropic support has funded new research to save young lives at Evelina London Children’s Hospital; established the King’s Dickson Poon School of Law as a worldwide leader in transnational law; built a new Cancer Centre at Guy’s Hospital; allowed unique collaboration between leading neuroscientists to fast-track new treatments for Alzheimer’s, Parkinson’s, motor neurone disease, depression and schizophrenia at the new Maurice Wohl Clinical Neuroscience Institute; created the Cicely Saunders Institute: the first academic institution in the world dedicated to palliative care, and supported the King’s Sierra Leone Partnership in the Ebola crisis. Donations provide over 300 of the most promising students with scholarships and bursaries each year. More information about the campaign is available at www.kcl.ac.uk/kingsanswers.

Company info
Mini-site
KINGS COLLEGE LONDON
Telephone
+(44)02078365454
Location
STRAND
LONDON
WC2R 2LS
United Kingdom

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