Medical Research Council/ Uganda Virus Research Institute (MRC/UVRI) Uganda Senior Bioinformatician Job Vacancy in Uganda

er Institute is setting up
the MRC/UVRI Ugandan Medical Informatics Centre (UMIC) that will be located at
the UVRI campus in Entebbe. It will be closely associated with the Ugandan
Ministry of Health and other educational and research Institutes in Uganda, as
well as pan-African research centres as part of established collaborations with
MRC/UVRI. The central aims of this project are: (1) to develop a medical
informatics in Uganda and (2) to develop human research capacity in medical
informatics and computational genomics in sub-Saharan Africa (SSA) in
collaboration with UK and SSA centres. The UMIC is being developed to
capitalise on technological advances in genomics and to ensure the efficient
utilisation of data resources in clinical epidemiology and large scale genomics
across SSA from on-going research programmes.

• Designs and implements high-quality,
  high-throughput computational pipelines for genome-analysis
• Keeps up with the developments in technology and
  statistical genetics, and adapts to these rapidly in order to ensure the
  highest standard of data generation
• Oversees large-scale whole-genome and whole-exome
  datasets
• Assists in the development of new methods, or
  improving on existing methods to create solutions to problems, if needed.
• Technically supports researchers and other
  bioinformaticians within the UMIC and internationally
• Contributes to analyses of large-scale next
  generation sequencing datasets, genome-wide association analyses of common
  and rare variants and meta-analyses in a high-quality, time-sensitive
  environment.
• Interprets, and contributes to the design of
  computational tools and statistical analysis plans for complex trait
  analysis.
• Prepares high-quality data reports and drafts of
  manuscripts for publication
• Presents work at international meetings.
• Communicate with collaborators effectively.
• Oversees large-scale datasets of sequencing,
  clinical and other types of data, including cleansing and curation of data
  and facilitating deposition and access of data to and from the Medical
  Informatics Centre.
• Coordinates and works with the international
  research community to facilitate data exchange, large-scale analytical
  efforts and exchange of expertise.

• The ideal candidate should possess a bachelor’s
  degree in Computer science, Statistics, natural Sciences, Maths or have a
  degree in another subject coupled with extensive experience working with
  quantitative data.
• Proven understanding and experience in the fields
  of genomics, data processing, high-through put data analysis, and genomic
  databases. Understanding of genome structure a must.
• Significant experience providing advice, training
  and support to other researchers in the areas of bioinformatics and data
  analysis.
• Detailed knowledge and understanding of
  univariate statistical analysis fundamentals necessary.
• Experience with multivariate statistics or
  statistical modelling a plus.
• Candidates should have knowledge of leading NGS
  processing techniques for the identification of SNPs and structural
  variants.
• Strong computational and data management skills
  and experience, particularly in data parsing, cleansing, data modelling,
  analysis, and database design and implementation.
• Detailed knowledge and experience working in a
  unix/linux environment.
• Demonstrated programming skills in shell
  scripting (e.g. bash, tcsh), interpreted/scripting languages (e.g. Perl,
  Python, R)
• Substantial experience working within
  international consortia and effectively facilitating research within this
  environment.
• Possess the ability to review, synthesize, and
  present scientific data and methods.
• Good written and verbal communication skills.
• The ability to present methodologies and results
  succinctly
• Possess the ability to anticipate needs and
  problems while creating solutions.
• Possess the ability to work within a team, and to
  provide advice, training and support to other researchers.
• Possession of a PhD in computer science,
  computational biology, biostatistics, bioinformatics, or similar fields is
  desired although not strictly necessary.
• Practical experience processing NGS data is a
  plus.
• All candidates would ideally be familiar with the
  capabilities and limitations of NGS platforms and informatics pipelines,
  so that data can be appropriately integrated into analyses.
• Past exposure and experience with cluster
  computing is a plus.
• Programming skills in compiled language(s) (e.g.
  Java, C, C++) is an advantage