Post Doc

About the role

A computational biologist position is immediately available in the laboratory of Dr. Fadia Ibrahim in the Department of Biochemistry and Molecular Biology at Thomas Jefferson University. The research program focuses on studying the molecular mechanism of a novel co-translational RNA decay process, "ribothrypsis," and investigating the role of RNA dysregulation in neurodegenerative diseases. The role integrates molecular biology, biochemistry, innovative RNA sequencing technologies, and advanced computational approaches.

Responsibilities

• Support ongoing research projects.
• Develop and implement bioinformatics tools and pipelines.
• Oversee the processing, management, and analysis of next generation sequencing (NGS) data.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Computational Sciences, or a related discipline.
• Proficiency in R and Python and in working in Linux/Unix environments with command-line-based bioinformatics tools.
• Experience analyzing and interpreting NGS data, including RNA-Seq and Ribo-Seq, with expertise in data evaluation and visualization (e.g., differential expression, ribosome occupancy, poly(A) tail analysis, and modifications detection).
• Basic knowledge of molecular biology techniques and familiarity with biological data.
• Knowledge of statistical methods and their applications to biological datasets.
• Strong analytical, problem-solving, and quantitative skills, with the ability to collaborate effectively in a multidisciplinary team environment.
• Publication track record in relevant fields.

Preferred Qualifications

• Familiarity with NGS platforms, including Illumina and Oxford Nanopore Technologies.
• Demonstrated ability to integrate, mine, and analyze diverse large-scale biological datasets.
• Experience with commonly used bioinformatics resources, tools, and databases, including ENCODE, UCSC Genome Browser, Ensembl, Bioconductor, and NCBI databases.
• Experience managing computational servers and data storage and backup.
• Ability to formulate and develop scientific hypotheses that support ongoing research.
• Strong organizational, written, and verbal communication skills.