I. DEPARTMENT INFORMATION

Job Description Summary:

The George Washington University Milken Institute School of Public Health is seeking a Bioinformatics Analyst II. The skilled and collaborative candidate will study microbial genomics in a public health context and have the opportunity to:

(i) analyze large omics datasets from clinical and epidemiologic studies

(ii) develop of machine learning and computational discovery methods for public health research.

(iii) work in a high-performance computing environment

The successful applicant will be an innovative researcher with a collaborative attitude, and strong self-management skills, as the individual will participate in multiple projects at any given time. They will work under the supervision of a senior bioinformatics scientist.

Responsibilities Include:

• Analyze sparse microbiome data and large-dimensional data from genomes, metagenomes and metatranscriptomes.
• Contribute to developing methods involving complex multi-omic microbiome and host analyses interactions.
• Prepare datasets for analysis, and conduct data analysis using standard and advanced scripting skills under supervision of senior staff.
• Creating programming analyses in either Python, Perl, C , Bash script and/or Java
• Keep informatics pipelines up to date by evaluating computational tools and reference databases.
• Performing data management (auditing, editing & analysis) and quality control of study databases.
• Collaborating in the development of analytical plans for addressing selected research questions.
• Documenting any new processes and procedures created in the above tasks.
• Collaborating in the design of studies and with medical investigators to implement methods in collaboration with Center faculty.
• Participating in project development from beginning to end. Participating as a member of a multi-disciplinary team of programmers and researchers to ensure deliverables are completed efficiently.
• Contribute to portions of abstracts, posters, reports and manuscripts for major publications in leading health, medical, bioinformatics and other journals and presentations of results.
• Trains users including new employees and students in bioinformatics technique

Performs other duties as assigned. The omission of specific duties does not preclude the supervisor from assigning duties that are logically related to the position.

Minimum Qualifications:

Qualified candidates will hold a Bachelor’s degree in an appropriate area of specialization plus 5 years of relevant professional experience. Degree must be conferred by the start date of the position.

Additional Required Licenses/Certifications/Posting Specific Minimum Qualifications:

Preferred Qualifications:

• Experience in Bioinformatics or Data Science, including independent algorithm/software development and analysis of next-generation microbial sequencing data.
• Experience with high-performance computing environment.
• Strong analytical and troubleshooting skills and experience or interest in working in a multidisciplinary team setting.
• Experience in phylogenetic, comparative genomic analysis, bacterial genome assembly and annotation.
• Strong publication record, especially first-author manuscript(s).

Typical Hiring Range

Commensurate with Experience

II. POSITION INFORMATION

Campus Location:

Foggy Bottom, Washington, D.C.

College/School/Department:

Milken Institute School of Public Health (SPH)

Family

Research and Labs

Sub-Family

Bioinformatics

Stream

Individual Contributor

Level

Level 2

Full-Time/Part-Time:

Full time -> FTE 1.00

Hours Per Week:

40 Hours

Work Schedule:

Monday-Friday 9am-5:30pm

Will this job require the employee to work on site?

Yes

Employee Onsite Status

On-campus (in person)

Telework:

Required Background Check

Criminal History Screening, Education/Degree/Certifications Verification, Social Security Number Trace, and Sex Offender Registry Search

Special Instructions to Applicants:

Employer will not sponsor for employment Visa status

Internal Applicants Only?

No

Posting Number:

R001774

Job Open Date:

11/29/2022

Job Close Date:

If temporary, grant funded or limited term appointment, position funded until:

12/31/2023

Background Screening

Successful Completion of a Background Screening will be required as a condition of hire.

EEO Statement:

The university is an Equal Employment Opportunity/Affirmative Action employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law.