The Njomen Lab is a chemoproteomics-driven chemical biology group in the Department of Chemistry at Duke University. We are advancing the druggability of the human proteome by exploring new chemical space and applying cutting-edge chemoproteomic techniques to uncover ligands and druggable pockets in disease-relevant proteins.
Role Overview
We seek a passionate and skilled Postdoctoral Associate to apply their strong computation skills to cutting edge research in chemoproteomics, chemical biology, and related areas. The interested candidate will work directly with experimental scientists within a wet lab setting to facilitate the management, analysis, and visualization of the mass spectrometry-based proteomic data generated in our chemoproteomics experiments. The postdoctoral associate will be responsible for developing and optimizing custom data analysis and visualization pipelines; and should be prepared to integrate internal experimental data with public protein databases such as UniProt, PDB, Ensembl, BioPlex, DepMap, and others.
Responsibilities: Develop and maintain a centralized proteomics data portal; design and perform computational analyses on the mass spectrometry data generated in on-going and planned proteomic experiments in the lab; maintain subspecialty expertise including literature and participation in journal clubs; collaborate with scientific groups locally, nationally, and internationally; maintain a commitment to laboratory safety; promote a positive laboratory ecosystem; contribute to the mentoring of trainees within the lab; publish peer reviewed manuscripts and contribute to funding proposals.
Educational Requirements
• PhD in Chemistry, Bioinformatics, Computational Biology, Computer Science, or a related field.
Additional Qualifications:
• Proficiency in Python, R, SQL, and/or other relevant programming languages; knowledge of Java or C++; familiarity with shell scripting, cluster or cloud computing infrastructure (AWS, GCP) is desirable.
• Experience working with mass spectrometry-based proteomics data and familiarity with major protein databases (e.g., UniProt, PDB, Ensembl)
• Familiarity with proteomic search engines such as Proteome Discoverer, MSFragger, Sage, Mascot, Sequest, and MaxQuant
• Wet-lab experience in Chemistry/ Chemical Biology, Biology, Biochemistry, Molecular Biology, or related field is desirable.
• Strong analytical, communication, and teamwork skills
• Ability to maintain research plans and meet deadlines
Applications will be reviewed on a rolling basis until the position is filled.
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