Staff Scientist 1

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 (particularly for GWAS) 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., GCTA, SAIGE, BOLT-LMM, FINEMAP, PrediXcan, LDSC, RAREMETAL, MAGMA, DEPICT); proficiency in R/Bioconductor; experience with public bioinformatic/genetic databases (e.g., dbGAP, TCGA, ENCODE, 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 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. 

Applications will be accepted through January 13, 2021.  Selection for this position will be based solely on merit, with no discrimination for non-merit reasons such as race, color, religion, gender, sexual orientation, national origin, political affiliation, marital status, disability, age, or membership or non-membership in an employee organization. NIH encourages the application and nomination of qualified women, minorities and individuals with disabilities.  NIH provides reasonable accommodations to applicants with disabilities. If you require reasonable accommodation during any part of the application and hiring process, please notify us. The decision on granting reasonable accommodation will be made on a case-by-case basis.  This position is subject to a background investigation.  Salary is commensurate with research experience.                           

Interested individuals should send a cover letter, curriculum vitae, brief summary of research interests and experience, and two letters of reference to:

Ms. Cynthia Drice

Division of Cancer Epidemiology and Genetics, National Cancer Institute

9609 Medical Center Drive, Rm. 7E336 MSC 9775

Rockville, MD 20850   / E-mail: cynthia.drice@nih.gov

The closing date for applications is January 13, 2021.