Job ID: 1728348
Job date: 2018-06-21
End Date: 2018-09-19
Company : University College London Country : United Kingdom Role : Research Scientist
Job date: 2018-06-21
End Date: 2018-09-19
Company : University College London Country : United Kingdom Role : Research Scientist
Job Description:
Duties and responsibilities of the post holder include but are not limited to: develop a web site and database to host, visualize and serve the multi-dimensional data generated GCGR; consult and agree with the GCGR Steering group on the specs for the web site and database; perform computational analyses for dimensionality reduction, integration and visualization of the multi-dimensional GCGR data sets. The post is funded for 6 months. The successful applicant must have a PhD (or be studying towards it) in computer science or equivalent, demonstrate knowledge of programming, be experienced in dimensionality reduction of multi-dimensional data. Competence in programming using R for data analysis, JavaScript for data visualization, Python for machine learning, Scala for distributed computing and C++ for software development, competence in Database & OS using Linux (Ubuntu, Centos) and Windows, MongoDB for No-SQL databases and json format data storage, PostgreSQL/MySQL for SQL-based databases and Hadoop/Hive/Spark for distributed computing and experience in using GSEA for integrative analysis are also Essential Criteria. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at research assistant Grade 6B (salary £30,316 - £31,967 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.
Additional Info:
Location: London Salary: The appointment will be on UCL Grade 7. The salary range will be £34,635 - £41,864 per annum inclusive of London Allowance, inclusive of London Allowance. Hours: Full Time Contract Type: Fixed-Term/Contract Placed on: 20th June 2018 Closes: 19th July 2018 UCL vacancy reference: 1728348 Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button below. Informal enquiries can be directed to Stephan Beck ( s.beck@ucl.ac.uk ) or Javier Herrero ( javier.herrero@ucl.ac.uk ). For enquiries regarding the application process please contact Laime Matkeviciute (HR Assistant), l.matkeviciute@ucl.ac.uk Closing Date: 19 July 2018 Latest time for the submission of applications: 23:59 Interview Date: TBC UCL Taking Action for Equality Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality. The UCL Cancer Institute is part of the Faculty of Medical Sciences and is the focus for cancer research at UCL: www.ucl.ac.uk/cancer Located in the heart of London, The cancer Institute provides laboratory space and state-of-the-art facilities for over 300 scientists to investigate fundamental aspects of cancer with the mission to develop new strategies to prevent, monitor and cure human cancer.[Click Here to Access the Original Job Post]
Duties and responsibilities of the post holder include but are not limited to: develop a web site and database to host, visualize and serve the multi-dimensional data generated GCGR; consult and agree with the GCGR Steering group on the specs for the web site and database; perform computational analyses for dimensionality reduction, integration and visualization of the multi-dimensional GCGR data sets. The post is funded for 6 months. The successful applicant must have a PhD (or be studying towards it) in computer science or equivalent, demonstrate knowledge of programming, be experienced in dimensionality reduction of multi-dimensional data. Competence in programming using R for data analysis, JavaScript for data visualization, Python for machine learning, Scala for distributed computing and C++ for software development, competence in Database & OS using Linux (Ubuntu, Centos) and Windows, MongoDB for No-SQL databases and json format data storage, PostgreSQL/MySQL for SQL-based databases and Hadoop/Hive/Spark for distributed computing and experience in using GSEA for integrative analysis are also Essential Criteria. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at research assistant Grade 6B (salary £30,316 - £31,967 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.
Requeriments :
Skills :
- Database design
- JavaScript
- Lunix/Unix
- Machine Learning
- MongoDB
- MySQL
- NoSQL
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in R
- Software Design
- SQL
Areas :
Additional Info:
Location: London Salary: The appointment will be on UCL Grade 7. The salary range will be £34,635 - £41,864 per annum inclusive of London Allowance, inclusive of London Allowance. Hours: Full Time Contract Type: Fixed-Term/Contract Placed on: 20th June 2018 Closes: 19th July 2018 UCL vacancy reference: 1728348 Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button below. Informal enquiries can be directed to Stephan Beck ( s.beck@ucl.ac.uk ) or Javier Herrero ( javier.herrero@ucl.ac.uk ). For enquiries regarding the application process please contact Laime Matkeviciute (HR Assistant), l.matkeviciute@ucl.ac.uk Closing Date: 19 July 2018 Latest time for the submission of applications: 23:59 Interview Date: TBC UCL Taking Action for Equality Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality. The UCL Cancer Institute is part of the Faculty of Medical Sciences and is the focus for cancer research at UCL: www.ucl.ac.uk/cancer Located in the heart of London, The cancer Institute provides laboratory space and state-of-the-art facilities for over 300 scientists to investigate fundamental aspects of cancer with the mission to develop new strategies to prevent, monitor and cure human cancer.[Click Here to Access the Original Job Post]