Post Doctoral Fellow (Computational Biology/Computer Science)

• Analysis of Genomics, Transcriptomics (bulk and single cell), epigenetic and proteomics data.
• Work in close collaboration with the core facility and the bioinformatic lead.
• Development of new computational methods.
• Development of analysis pipelines using pipeline management tools such as Bpipe, Nexflow and Snakemake.
• Develop custom R/python scripts for down-stream analysis and visualization.
• Multi-omics integrative data analysis.

• Shares responsibility for the timely completion of assigned tasks and ensures constant progress in research pertaining to specialty area.
• Performs assigned scientific research at the highest standards.
• Writes and publishes articles in peer reviewed journals that highlight findings from research.
• Provides regular status updates regarding developments in the project.
• Develops collaborative links with core scientific personnel in related program areas to gain exposure and build knowledge on experimental/ research activities and approaches.
• Provides education and updates for medical technologists and clinicians regarding advances in the field.
• Researches articles with regard to the subject, keeps up-to-date with the latest developments and identifies areas for improvement.
• Participates in postdoc career development and review process.
• 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.

• PhD in relevant field.

• Ph.D. degree in life sciences (Computer science, Bioinformatics, or related fields).

• Demonstrated independent research capabilities, good organizational skills and the ability to work with others.
• Research experiences within an academic health center or university with high research activity, good record of scientific publication and outstanding reference.

• A good grasp of biological concepts.
• Extensive experience with genome analysis.
• Experience analyzing transcriptomics (bulk, scRNA-seq is a plus), epigenetic and other NGS data.
• Good statistical knowledge, ideally good knowledge in statistical genetics.
• Proficiency with programming languages such as Python and/or R
• Familiarity with HPC environments and Linux commands.
• Familiarity with version control systems (e.g., Git) and workflow management tools (e.g., Bpipe, Snakemake, Nextflow).
• Preferred previous experience in any of the following: Population genetics, machine learning, multi-omics analysis, public data analysis.
• A proven track record in their field of interest, evidenced by two or more first-authored publications in international peer-reviewed journals.

• Knowledge of scientific research methods and evaluation of research results.
• Ability to develop and maintain own knowledge and skills at the forefront of field.
• Academic proof of intellectual strength that earns credibility and respect among faculty, staff and administrators in a world-class academic setting.
• Ability to both collaborate closely with others, and to work independently on challenging problems.
• Ability to explain research topics, both to a scientific audience and other staff.
• Excellent communication skills, both written and verbal, with the ability to relate well to multiple audiences.
• Proficiency with Microsoft Office suite.
• Knowledge of scientific research methods and evaluation of research results.
• Ability to develop and maintain own knowledge and skills at the forefront of field.
• Academic proof of intellectual strength that earns credibility and respect among faculty, staff and administrators in a world-class academic setting.
• Ability to both collaborate closely with others, and to work independently on challenging problems.
• Ability to explain research topics, both to a scientific audience and other staff.
• Excellent communication skills, both written and verbal, with the ability to relate well to multiple audiences.
• Proficiency with Microsoft Office suite.
• Fluency in written and spoken English.

Sidra Medicine