The Subramanian group is seeking a computationally-oriented Postdoctoral Fellow with interests in human immunology, infectious disease and host-pathogen interactions. The successful applicant will work with an interdisciplinary team of immunologists, microbiologists, systems biologists, bioinformaticians, and clinical researchers to:
- Integrate and analyze multi-omic, longitudinal data (CITE-Seq/ single cell transcriptomics, genomics, proteomics, metabolomics, gut microbiome data, clinical labs, etc.) on hundreds of people from unique in-house datasets, including but not limited to the recent ISB/Swedish INCOV dataset of COVID-19 patients (Su et al. Cell 2020 Dec 10;183(6):1479-1495.e20).
- Leverage in-house datasets, published datasets and computational modeling to identify putative causal links between the immune system and human disease. These associations will serve as hypotheses for testing in the lab and in the clinic.
-Track the initiation, progression and dynamics of innate and adaptive immunity of a host organism during infection and/or autoimmunity from deep immunophenotyping data.
The work involves participation in and contribution to these larger projects through inter- and intra-institutional collaborations and analysis of big data for ongoing experimental projects in the lab, but also offers the freedom to pursue one’s own research interests.
This position will provide an excellent opportunity to work and train as part of a highly motivated interdisciplinary team in the rapidly developing areas of deep phenotyping and personalized medicine. ISB is a leading research institution in the fields of computational and systems biology with applications ranging from human health to environmental sustainability.
Who should apply? Successful candidates will have a PhD in systems biology, immunology, microbiology, population genomics, computational biology, biostatistics, applied mathematics, or a related field. Preference will be given to candidates who have at least 4 years of research experience, including the design and implementation of scripts/algorithms/workflows for multi-omic analyses of immunological data. In addition to computational expertise, candidates with complementary experience in the wet-lab (e.g. flowcytometry, bacterial and tissue culture) are strongly encouraged to apply. Experience with library construction and RNA-Sequencing and is not necessary, but a welcome skill.
Strong analytical, programming and communication skills are essential. Experience with common bioinformatics methods, tools, websites and data resources is important, in particular high-throughput data analysis tools and techniques, statistical analysis, genomic analyses, meta-analyses, and experience retrieving, manipulating and managing data from public data repositories such as NCBI. The ability to work with a variety of different biological data types is highly desired.
Applicants should include a brief 1-2 paragraph summary of their research experience and interests, a first-author manuscript or preprint, a CV, and three professional references.
ISB is an EOE (M/F/minority/disabled/veteran status).