Bioinformatician - cancer, genomics, RNAseq
immunotherapy, cancer, genomics, RNAseq
The Laboratory of Tumor Immunology and Biology seeks a computational biologist with a strong interest in collaborative interactions with basic and translational researchers and clinicians to answer questions related to tumor immunology and cancer immunotherapy.
The Laboratory of Tumor Immunology and Biology functions as a multidisciplinary and interdisciplinary translational research programmatic effort with the goal of developing novel immunotherapies for cancer. The LTIB strategic plan focuses on the development of novel immunotherapeutics for human cancer, not only as monotherapies, but more importantly, in combination with other immune-mediating modalities, and other conventional or experimental therapies, as part of an immuno-oncology programmatic effort. Within this effort are several research groups, a clinical trials group, and multiple collaborations with intramural and extramural scientific and clinical investigators and with investigators in the private sector.
Analysis of clinical samples will include correlative studies with clinical responses in patients receiving different immunotherapies. The successful candidate will work collaboratively on a wide range of preclinical models and experiments, helping with experimental design, analyzing raw data, assessing data quality, statistical testing, visualization and pathway analysis, assisting researchers with data interpretation, manuscript preparation and figure design.
The successful candidate is expected to have experience with data sets generated by a range of genomic techniques, including RNA-seq, NanoString, ATAC-seq, TCRseq, as well as data generated by multi-parametric flow cytometry analysis of samples obtained from preclinical models and clinical samples. Bachelor or Master’s degree in bioinformatics, biostatistics or related field.
Interested individuals should submit a cover letter including relevant experience and interests, curriculum vitae, and the names and contact information for two references via e-mail to: Jeffrey Schlom, Ph.D., email@example.com. No calls, please. Applications will be reviewed upon receipt, and selected candidates will be contacted for a personal interview.
This is a position will be filled using a contract mechanism.
HHS, NIH, and NCI are Equal Opportunity Employers