Where Ambition and
Innovation Meet with Care

Job Details

SIDRA4632 - Post Doctoral Fellow - Bioinformatics

Department: Biomedical Informatics Div
Division: Not Applicable
Contract Type: Full Time
Closing Date: 31-Jul-2019
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

Department: The Research Branch will house several hundred researchers working on many aspects of Fetomaternal health.  It will cover Translational and Patient-oriented research, Clinical studies and Bioinformatics research.  The Research Branch comprises two research floors totaling 10,000M2 and 9 smaller “satellite laboratories” throughout the hospital.  The Research Branch houses basic laboratories as well as state-of-the-art core facilities for genomics, deep phenotyping and imaging.
Person: The Post-Doctoral Fellow - Bioinformatics within the Biomedical Informatics division will be involved in carrying out innovative research in bioinformatics and next generation sequencing data analysis.  The Post-Doctoral Fellow – Bioinformatics will work under the supervision of Principal Investigator and/or Staff Scientist and actively contribute in developing and designing 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). He/she is also expected to work closely with Biologists and Clinicians in order to understand the biological/clinical challenges and help them address their questions by implementing the proper analytics; will also contribute to paper writing and present their work internally and at international scientific events. He/she should also provide training to junior staff and students.
Key Role Accountabilities:
     
    • Collects biomedical data for research.

    • Conducts bioinformatics analysis on genomics data.

    • Analyzes and processes biomedical data, conducts statistical analysis, experiment design and database development.

    • Performs scientific research with highest standards.

    • Performs scientific research on high throughput data such as micro-array and next generation sequencing.

    • Acts as a liaison who understands molecular biology and bioinformatics – and does the interpretation between the two groups.

    • Communicates results/findings to the relevant scientific community via published papers.

    • Works closely with PI’s and Scientists and understand their needs from the bioinformatics group.

    • Collaborates with other Sidra members to apply the results of research and/or develop new techniques or practices.

    • Presents ongoing work and findings to colleagues both local and in academic conferences.

    • 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.
Qualifications, Experience and Skills – Selection Criteria:

 

ESSENTIAL

PREFERRED

Education

PhD degree in bioinformatics or relevant field

 

Experience

  • Academic research experience with publications in peer-reviewed academic journals and/or conferences.

     

  • Experience in biomedical data analysis.

     

  • Knowledge of bioinformatics tools and databases.

     

  • Strong genomics analysis experience, especially next generation sequencing data analysis.

     

  • Working experience with high dimensional data sets such as genomics, proteomics and metabolomics.

     

  • Experience in computer algorithms and computational software development.

     

  • Good background in quantitative methods and statistics.
  • 2+ years of NGS data analysis experience.

     

  • Strong background in molecular biology.

     

  • Experience in a clinical setting.

 

Certification and Licensure

 

 

Professional Membership

 

 

Job Specific Skills and Abilities

  • High level of Technical skills.

     

  • Skilled in programming and/or scripting languages.

     

  • Excellent interpersonal and communicative skills.

     

  • Knowledgeable in scientific research methods and evaluation of research results, and ability to develop and maintain own knowledge and skills at the forefront of field.

     

  • Proficiency with Microsoft Office suite and MacOS.

     

  • Fluency in written and spoken English.
  • Knowledgeable about data and security issues relating to clinical research.
Other Information: The position reports into Dr. Puthen Jithesh's Laboratory
Sidra’s Organizational Values:
  • Trust: Being competent; acting consistently, reliably and predictably; acting with honesty and integrity; respecting patient, employee and commercial confidentiality; delivering on commitments
  • Care: Acting with empathy, kindness and compassion; being humble; listening and responding; acting with cultural sensitivity; Caring for patients and staff
  • Teamwork: Sharing information and knowledge and learning from demonstrated expertise; being respectful, and thereby earning respect of others; acting with professionalism; leading and following; collaborating and being accessible
  • Transparency: Frequent and honest communication; open access to information for decision making; willingly acknowledge shortcomings; speaking up about concerns; publishing performance indicators
  • Innovation: Freedom to innovate; welcoming ideas and encouraging creativity; supporting talent; creating confidence; celebrating successes
  • Efficiency: Providing measurable value; using data to drive decision making; having and achieving clear goals; building processes that work; continuously improving outcomes in patient and family care
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