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Postdoctoral Fellow in Computational Single-Cell Omics and Functional Genomics at Harvard University Harvard University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral fellowship with salary listed at $67,600-$80,000, depending on experience, training/qualification, field, and accomplishments.
Country
United States
University
Harvard University

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About this position
Harvard University’s Faculty of Arts and Sciences is advertising a Postdoctoral Fellow position in the Arlotta Lab within the Department of Stem Cell and Regenerative Biology. The project sits at the intersection of neuroscience, functional genomics, computational biology, and single-cell omics, with a strong emphasis on understanding the cellular and molecular pathways disrupted in brain disorders such as schizophrenia and autism.
The fellow will analyze large-scale datasets including RNA-seq, ATAC-seq, and spatial transcriptomics, develop new computational methods, and collaborate closely with wet-lab scientists and multiple groups at the Stanley Center in the Broad Institute. The role includes rapid prototyping, tool development, interpretation of single-cell results in biological context, and contributions to reports, papers, and presentations.
Eligibility highlights: a Ph.D. in Bioinformatics, Biology, Computer Science, or a related field (or equivalent experience) is required. Applicants should have strong R/Python skills, solid statistics, and familiarity with next-generation sequencing analysis. Experience with single-cell analysis, shared computing environments, SLURM/qsub, and computational method design is preferred.
Funding: salary is listed at $67,600-$80,000, with final pay dependent on experience, training, field, and accomplishments. No deadline is shown in the post.
How to apply: submit an application through the Harvard Academic Positions portal. For questions, the contact listed is Zachary Trayes-Gibson at [email protected].
Funding details
Postdoctoral fellowship with salary listed at $67,600-$80,000, depending on experience, training/qualification, field, and accomplishments.
What's required
Ph.D. degree in Bioinformatics, Biology, Computer Science, or another relevant scientific discipline, or equivalent experience. Strong proficiency in R and/or Python or related languages is required, along with solid statistical analysis skills and familiarity with next-generation sequencing data analysis tools. Basic understanding of molecular biology and next-generation sequencing is highly preferred; single-cell data analysis, shared computing environments, SLURM/qsub, and computational method development are preferred. Applicants should be able to work independently and collaboratively, communicate well, stay organized, and be highly motivated.
How to apply
Apply through the Harvard Academic Positions posting. Use the provided application portal link and direct any contact questions to Zachary Trayes-Gibson by email.
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