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Postdoctoral Fellowship, Computational Systems Biology and Statistical Bioinformatics

Department of Health and Human Services
National Institutes of Health (NIH)
National Institute of Environmental Health Sciences (NIEHS)
Biostatistics & Computational Biology Branch (BCBB)
Research Triangle Park, North Carolina

Two postdoctoral positions are available in the Computational and Systems Biology research group led by Dr. Benedict Anchang in the Biostatistics & Computational Biology Branch (BCBB) at the National Institute of Environmental Health Sciences (NIEHS), in Research Triangle Park, North Carolina.

Anchang’s lab combines computational and experimental models to study dynamic and spatial biological processes at multi-scale and multidimensional levels spanning interactions at the molecular, cellular, tissue, organ, system and even population levels. We model normal and disease reference maps for various multicellular systems such as endocrine and immune systems using robust visualization and computational tools. These maps can be used to understand how cell type specific extracellular and intracellular receptors are affected by drugs, endocrine disruptors, and environmental chemicals/agents. These disruptions are known to cause cancerous tumors, diabetes, birth defects, neurological and other developmental disorders. We are collecting single-cell data from human immune and endocrine systems and endocrine disruptors as part of the Ancestry network for Human cell atlas funded by the Chan Zuckerberg Initiative involving many international collaborators to develop maternal-fetal maps from women in different ethnic groups in Nigeria. The project will shed light on molecular expression patterns during pregnancy and potentially reveal how genes, pathogens, age, ethnicity, and cultural activities affect reproductive related short and long-term health outcomes.

We are currently seeking two postdoctoral researchers to develop and apply innovative, robust, and scalable methods for: Visualizing and modelling temporal and spatial high-dimensional single-cell data, Network Analysis in mixtures and Integration of molecular and pathological features to study tumor progression or drug response. However, research topics are not limited to the above, and candidates with different topics of interest are encouraged to apply. We are particularly interested in candidates who are also passionate about systems biological applications, can implement and document these methods following good software engineering practices, benchmark these methods against existing baseline approaches e.g. using simulations, apply these methods to diverse datasets, document and present progress and results in written or oral reports to other lab members or collaborators and prepare manuscripts and external presentations for publication and conferences.

The successful postdoctoral position will be appointed at a competitive salary commensurate with experience with follow up yearly adjustments. A postdoctoral fellow in this position will also receive an additional $10,000 per year. They will receive training career benefits including health insurance for family, travel to meetings along with a $3000 support package for relocation expenses.


Candidates should have or be very close to obtaining a Ph.D. in biostatistics, statistics, bioinformatics, engineering, biophysics, computer science, genetics, computational biology or closely related areas from both US and non-US based institutions. A strong background and experience in analyzing high dimensional data is required as well as excellent communication skills and fluency in both spoken and written English are essential by evidence of a first author paper on a relevant topic.

To Apply:

Interested candidates should submit their curriculum vitae, a detailed statement of their research interests, and the names and contact information for three references to Benedict N. Anchang, Ph.D..

NIH is the premier biomedical research center for the world. It is dedicated to building a diverse, equitable, inclusive and accessible community in its training and employment programs.

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