Organizational Profile :
Sidra Medicine is a state of the art academic medical center that will function to the level of the highest international standards.
Its clinical focus is on the specialty care of women and children.
Sidra’s Vision is : Sidra Medicine will be a beacon of learning, discovery and exceptional care, ranked among the top medical centers in the world .
Achieving this vision will encompass three essential activities :
World Class : Patient and Family Centered Care Health Education Biomedical Discovery
Once fully operational by mid-2018, Sidra Medicine will handle 275,000 outpatient appointments, 11,000 procedures, 100,000 emergency attendances and deliver over 9,000 babies per year, adding capacity to a rapidly growing population and delivering world-class specialist care.
The hospital will include 10 operating theatres, 400 beds, 100 percent single rooms with a private bathroom, a birthing center and an emergency department.
The Research Department will house several hundred researchers working on many aspects of feto-maternal health. It will cover basic, translational, clinical trials and informatics research.
The Department comprises two research floors totaling 10,000M2 and 9 smaller satellite laboratories throughout the hospital.
The department will house basic laboratories as well as state of the art core facilities, e.g. genomics, medicinal chemistry and imaging.
Biomedical informatics division within Sidra Research branch focuses on creating a world leading IT service delivery model to support the IT needs for the entire research branch and also provide flexibility to our researchers to undertake research without constraints from the traditional IT environment.
Biomedical informatics division has acquired a state of the art multi-million dollar High Performance Computing (HPC) system specifically for Genomic and Biomedical Research applications.
This assists in studies and pursuing the effective uses of biomedical data, information, and knowledge for scientific inquiry, problem solving, and decision making, motivated by efforts to improve human health.
Person : Staff Scientist Assistant Level Translational Bioinformatics is involved in carrying out innovative research in bioinformatics and next generation sequencing data analysis.
The post holder works under the supervision of the Principal Investigator and actively contributes in designing and developing new bioinformatics methods to help address the challenges of personalized medicine.
The incumbent is also involved in performing advanced analysis of Omics data especially Next Generation Sequencing (NGS).
also contributes to paper writing and presents their work internally and at international scientific events. Knowledge and or experience in Big Data load management and operation would be considered an asset.
He / She also provides training to junior staff and students. Qualifications, Experience and Skills - Selection Criteria :
PhD degree in Bioinformatics or a related field
Job Specific Skills and Abilities
Key Role Accountablities :
Performs scientific research at the highest standards
Conducts experiments, analyzes and processes data
Collects and summarizes scientific data / information for experiments and archiving
Keeps accurate records of experiments, checks data and informs discrepancies
Assists with evaluating and testing new processes
Complies with safety regulations / standard protocols
Collaborates with other Sidra members to apply the results of research and / or develop new techniques or practices
Prepares research results for journals and report publications
Presents ongoing work and findings to colleagues both local and in international academic conferences
Communicates results / findings to the relevant scientific community via published papers
Adheres to Sidra’s standards as they appear in the Code of Conduct and Conflict of Interest policies
Adheres to and promotes Sidra’s Values
In view of the evolving needs and opportunities within Sidra, this position may be required to perform other duties as assigned and reporting relationships may vary.
Other Information :
Knowledge and or experience in Big Data load management and operation would be considered an asset