Chikina Lab Post Doctoral Associate
Med-Computational and Systems Biology - Pennsylvania-Pittsburgh - (26004529)
The Chikina Lab in the Department of Computational and Systems Biology at the University of Pittsburgh School of Medicine is hiring a full-time Postdoctoral Research Fellow in computational biology. The successful candidate will conduct computational and quantitative biomedical research aimed at improving the understanding of biological processes in complex tissues. The research will involve the development, evaluation, and application of methods for studying cellular composition and cell-type-related molecular patterns in tissue-level gene expression data. The fellow will also apply these approaches to spatially resolved transcriptomic data and may integrate molecular measurements with pathology images when scientifically appropriate. The position provides an opportunity to receive advanced training in computational method development, transcriptomic data analysis, spatial biology, and biological interpretation. The fellow will work under the supervision of Dr. Maria Chikina and will have opportunities to develop research projects, prepare scholarly publications, present research findings, and expand expertise in quantitative biomedical research.
Primary Responsibilities
● Develop, evaluate, and apply computational methods for biological data analysis
● Analyze bulk, single-cell, spatial transcriptomic, and tissue-imaging data
● Interpret findings in the context of biological processes and tissue organization
● Develop reproducible analysis workflows and maintain accurate research documentation
● Prepare manuscripts, abstracts, presentations, and other scholarly materials
● Present research progress at laboratory meetings, seminars, and scientific conferences
Required Qualifications
● A Ph.D. or equivalent doctoral degree in computational biology, bioinformatics, quantitative biology, genomics, biomedical engineering, or a closely related field by the position start date
● Research experience in the computational or quantitative analysis of biological data
● Proficiency in R, Python, or another scientific programming language
● Experience analyzing transcriptomic, genomic, molecular, or other high-dimensional biological data
● Strong written and oral scientific communication skills
● Evidence of research productivity, such as publications, manuscripts, or conference presentations
The University of Pittsburgh is an equal opportunity employer / disability / veteran.
Assignment Category: Full-time regular
Campus: Pittsburgh
Child Protection Clearances: Not Applicable
Required Attachments: Cover Letter, Curriculum Vitae
Assignment Category Full-time regular
PI286055598