Laboratory Technologist

at MRC/UVRI
Location Kampala, Uganda
Date Posted December 2, 2019
Category Accounting & Finance
Job Type FULL_TIME
Currency UGX

Description

Laboratory Technologist (01 Position)
Position Code: LT- IAVIK-1119
Reports to: Scientist
Duty station: Entebbe & Masaka
Contract Duration: 8 months, renewable based on availability of funds
Job Purpose:
To conduct laboratory assays and experiments, make detailed observations and analyze
complex data in a timely manner.

Roles & Responsibilities
Assist scientists in the design, optimization and validation of flow cytometry panels.
Process, stain and acquire stained samples through the flow cytometer following standard operating procedures.
Analyse data from mass and fluorescence flow cytometers using FlowJo, GraphPad Prism,
R, Bioconductor and other dimensional reduction algorithms including tSNE, FlowSOM, SPADE, UMAP.
Analysis of single cell RNA sequences, pathogen sequences, metabolome data etc.
Receiving, processing and storing study samples according to SOPs so as to maximise their quality in subsequent testing.
Monitoring study sample storage conditions including temperature.
Implementing GCLP practices: Cleaning and disinfecting equipment; Tracking equipment servicing requirements; Monitoring temperatures and liquid nitrogen levels; Data backup;
Running equipment performance QCs.

Skills

Ability to work and troubleshoot with minimal supervision.
Should have an understanding of GCP/HSP and GCLP guidelines for human research.
Willingness to conclude the scheduled experiments out of hours in cases when unavoidable circumstances arise.
Should have an up to date practicing license.
Should have good communication skills.
Knowledgeable in use of Microsoft Office packages

Experience Requirements

At least one year of experience working in a research setting as a laboratory technologist or data scientist.

Education Requirements

Bachelor of Science degree with a major in any Biological Sciences, Medical Laboratory Technology or related field from a recognized University.
Possession of a master’s degree in a relevant Biological Sciences, data science,
bioinformatics, statistics, computer science or mathematics is an added advantage.
Knowledge of R programming language is also an added advantage.
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