GENOMICS PLATFORM (CAPE TOWN OFFICE) The South African Medical Research Council (SAMRC) strives to improve the nation's health and quality of life by funding and conducting relevant and leading health research. It further aims to promote equity, career development and progression.
Project Leader: Data Manager Duration: Permanent
The SAMRC's Genomics Platform requires a suitably qualified and experienced Project Leader: Data Manager. The Genomics Platform currently generates large volumes of sequencing data per year. The position of Data Manager is essential to manage the large volume of sequencing data generated at our Platform. This will include data transfer from the sequencers to the SAMRC servers and to the Centre for High Performance Computing. Additionally, the manager will ensure the data integrity and efficient transfer of data to our clients.
Responsibilities: Data Management To develop and implement data management policies. To develop and implement standard operating procedures (SOPs) for the management of sequencing data at the Genomics Platform (in collaboration with SAMRC IT department). To develop and implement data storage solutions for the Genomics Platform. To maintain systems to curate, store and manage sequencing data. Quality Control To develop and maintain data quality control pipelines. To perform NGS data quality assessments following sequencing. To ensure integrity of NGS data before transfer to clients. To communicate any data quality issues with laboratory staff and laboratory manager. Data Transfer To develop and implement effective data transfer solutions for the Genomics Platform. To oversee all aspects of data transfer including logging, quality control and archiving. To address any data transfer issues Stakeholder Engagement To communicate with clients during the data transfer process to understand their needs. To communicate data transfer requirements and issues effectively with SAMRC IT department. To communicate data transfer requirements and issues effectively with the Centre for High Performance Computing. Core Requirements: MSc in Bioinformatics or Genetics or a related field One year experience with working in a Linux and Windows environment Two years' experience with NGS data analysis and quality control Knowledge of GATK Best Practices Experience with managing NGS data sets Experience with creating scripts for uploading and transferring large data sets. Excellent communication skills Excellent organizational skills Advantageous: Experience with working in a high-performance computing environment Strong knowledge in one scripting programming language. Experience with data analytics using R programming language Terms & Conditions: The SAMRC retains the right not to make an appointment. In accordance with the SAMRC's Employment Equity Plan, preference will be given to suitably qualified candidates from the designated groups. For this reason, we require race, gender and disability status to be specified. Disabled persons are encouraged to apply. By submitting your application, SAMRC concludes that you are a competent person to consent and that you are giving consent to the SAMRC to process and further process all personal information contained in the application in accordance with the Protection of Personal Information Act, Act No 4 of 2013 (as amended). The SAMRC does its best to provide the most accurate information; however, if there is anything wrong and unclear applicants are encouraged to contact the HR Recruitment Office at 021-938 0648 before the closing date. A salary in the region of R 534 050.00 per annum, cost-to-company, will be negotiated in consideration of experience and qualifications
Closing date: 18 November 2024 PLEASE QUOTE THE REFERENCE NUMBER (R795B) IN ALL COMMUNICATIONS. PLEASE BE ADVISED THAT YOUR SUBMISSION WILL NOT BE CONSIDERED SHOULD YOUR APPLICATION NOT BE ACCOMPANIED BY THE REQUIRED INFORMATION AND DOCUMENTATION. This website is optimised for secure, standards compliant web browsers. In order to view and use this website, you should use a web browser other than Internet Explorer.
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