الصفحة الرئيسية قطر Post Doctoral Fellow (Computational Biology/Computer Science)

الصفحة الرئيسية قطر Post Doctoral Fellow (Computational Biology/Computer Science)

Post Doctoral Fellow (Computational Biology/Computer Science)

دوام كامل في a Laimoon Verified Company في Qatar
نُشرت يوم December 16, 2024

تفاصيل الوظيفة

Post Doctoral Fellow (Computational Biology/Computer Science)JOB SUMMARY

The Post-Doctoral Fellow position (Computational Biology/Computer Science) is available in the Reproductive Biology Lab, in the Reproductive and Perinatal Health Division at Sidra Medicine. Our research focuses on the basic and translational aspects of reproductive biology. We aim to identify novel mechanisms regulating gametogenesis, fertilization, and early development using various model systems, including zebrafish, mice, and humans.

Our ultimate goal is to translate basic science discoveries to develop novel tools for in vitro fertilization (IVF) patients. To this end, our group closely collaborates with the IVF program and the fertility specialists at Sidra Medicine. Using multidisciplinary approaches, the selected candidate will identify novel genes and variants affecting important mechanisms regulating gametogenesis, fertilization, and early embryo development. The ideal candidate will perform a wide range of experiments, which include:

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.

KEY ROLE ACCOUNTABILITIES

Shares responsibility for the timely completion of assigned tasks and ensures constant progress in research pertaining to the 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.

QUALIFICATIONS, EXPERIENCE AND SKILLS - SELECTION CRITERIA

Education

PhD in a relevant field.

Preferred

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

Experience

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, a good record of scientific publication, and outstanding references.

Preferred

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.

Job Specific Skills and Abilities

Knowledge of scientific research methods and evaluation of research results.

Ability to develop and maintain own knowledge and skills at the forefront of the 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.

To apply, please submit your CV with a list of publications and a short cover letter, including a description of previous research, lab skills, and contact info for 3 references.#J-18808-Ljbffr

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