This announcement has been amended to add the COVID-19 vaccine mandate to the conditions of employment.
This position is subject to the COVID-19 vaccine mandate as a condition of employment.
The Occupational and Environmental Epidemiology Branch (OEEB), Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), National Institutes of Health (NIH), is recruiting a computational analyst/bioinformatician for the analysis of large-scale genetic association studies for cancer and related outcomes.
Who we are
DCEG is committed to discovering and understanding the genetic architecture of cancer, including the identification of common and rare loci for cancer risk, exploration of underlying functional mechanisms and the impact of environmental exposures, and use of genetic variants for risk stratification and prevention. For more information visit the DCEG website.
The prospective candidate will provide bioinformatic analytical support for genetics projects under Dr. Sonja Berndt. The Staff Scientist will be expect to perform a range of genetic and bioinformatic analyses including: imputation, population structure assessment, variant association testing, LD-score regression, fine-mapping across different ancestries, rare variant burden testing, pathway and other related analyses for genome-wide association studies (GWAS); utilize and test new open-source programs for analysis of GWAS and next generation sequencing (NGS) data; develop and maintain necessary bioinformatics pipelines for conducting state-of-the art genetic analyses; process and utilize publicly available datasets (e.g., UK Biobank) for analyses; organize and maintain data and results in a clear and consistent manner; and grow and maintain experience with state-of-the-art bioinformatics tools and data repositories.
The successful candidate must hold a doctoral degree in bioinformatics, biostatistics, computer science, computational biology or other related disciplines. The candidate must have experience processing and analyzing large genetic datasets and possess expertise in algorithmic implementation, statistical programming and data manipulation and proficiency in programming using Python, Perl, R, C/C++, and/or JAVA. The successful applicant should possess many of the following skills: experience with open-source bioinformatic tools for genetic analyses (e.g., REGENIE, GCTA, MR-MEGA, FINEMAP, LDSC); proficiency in R/Bioconductor; experience with public bioinformatic/genetic databases (e.g., dbGAP, TCGA, gnomAD, 1000 Genomes, and GTEx); experience with bash scripting and working in a Linux environment (especially a computer cluster environment); experience with core statistical methods (e.g. linear regression, logistic regression, linear mixed models, etc.); and a demonstrated ability to self-educate in current and evolving bioinformatics techniques and resources. The ability to work well with others and communicate effectively in speech and in writing is important, as demonstrated by a track record of publications in peer-reviewed literature as part of a research team or collaborative projects.
In accordance with Executive Order 14043, Federal employees are required to be fully vaccinated against COVID-19 regardless of the employee’s duty location or work arrangement (e.g., telework, remote work, etc.), subject to exceptions that may be required by law. If selected, you will be required to submit proof of vaccination by November 22, 2021 or before your entrance on duty if you are selected after the compliance date. Your HR Consultant will provide a list of documents acceptable as proof of vaccination and instructions for how to submit a request for a legally required exception, if needed, to comply with vaccination requirement.
Expanded/Maximum Telework Posture
Due to COVID-19, the agency is currently in a maximum telework posture. If selected, you may be expected to telework upon your appointment. As employees are permitted to return to the office, you may be required to report to the duty station listed on this announcement within 30 calendar days of receiving notice to do so, even if your home/temporary telework site is located outside the local commuting area. Your position may be eligible for workplace flexibilities which may include remote work or telework options, and/or flexible work scheduling. These flexibilities may be requested in accordance with the HHS Workplace Flexibilities policy.