Position Objective: Provide services as a Bioinformatics Scientist in support of the overall functions of the Division of Intramural Research (DIR), Laboratory of Allergic Diseases (LAD) within the National Institute of Allergy and Infectious Diseases (NIAID).

Duties and Responsibilities:

• Perform bioinformatic support using standard computer software packages for data management including data checking and cleaning of genotype and phenotype data, merging data, creating and recoding variables to prepare data for analyses, analyzing omics (DNA and RNA) data using a variety of standard statistical techniques including classical regression and statistical genetics tools.
• Generate scripts in R to manage and analyze the data.
• Provide support using RNASeq and methylation and assist with implementing existing and developing new analysis pipelines.
• Communicate and assist the Federal Task Leader with the concepts, methodologies, and overall goals, conducts searches to locate the most relevant literatures pertinent to the project(s) to keep the knowledge up to date.
• Analyze results and quality control of experiments to determine data generated is accurate and valid. Compare results with those obtained from previous related studies to verify the validity of data, and able to prioritize tasks and troubleshot data discrepancy.
• Discuss the data results with the Federal Task Leader and other team members.
• Develop methods, analysis, organize and record experimental data in a form suitable for reports and publication and future reference by others.
• Maintains complete, detailed records of all experiments performed.
• Provide support and validate and manage transcriptomic datasets; statistically analyze transcriptomic data; and create predictive models for on-going research project.
• Perform analyses using existing laboratory pipelines and summarize the results in a digestible manner and reports and deliver the information using established reporting procedures.

Basic Qualifications:

• Bachelor's degree and a minimum of two years of work experience in genetic epidemiology or bioinformatics.
• Proficiency in at least one major statistical analysis software package (e.g. SAS, or R)
• Experience with computational cluster environments.
• Microsoft Office software required.
• Programming skills in R required.

Minimum Qualifications:

• Bioinformatics experience is preferred.
• Prior experience in genomics analysis and understanding of translational interpretation is preferred.
• Candidates with expertise or interest in Genetic Epidemiology and/or the specific disease outcomes research are preferred.
• Ability to communicate effectively, orally and in writing, with non-technical and technical staff.
• Detail-oriented and possess strong organizational skills with the ability to prioritize multiple tasks and projects

*This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required by this position.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

GAP Solutions provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job, email us at recruiting@gapsi.com . You will need to reference the requisition number of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a requisition number will not be returned.

GAP Solutions is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status, political affiliation, genetic information, or any other legally protected status or characteristics.

This position is contingent upon contract award.