Run a diverse and collaborative bioinformatics group in NOAA laboratories affiliated with NOAA’s Northern Gulf Institute
Salary Grade: UC
Please see Staff Compensation Structure or Skilled Crafts and Service Maintenance Compensation Schedule for salary ranges. For salary grade UC, these positions are "Unclassified" and salary ranges are determined by the hiring department.
Essential Duties and Responsibilities:
The successful candidate will:
• Run a diverse and collaborative bioinformatics group in NOAA laboratories affiliated with NOAA’s Northern Gulf Institute;
• Develop bioinformatics workflows to run on traditional and cloud-based high-performance computing systems;
• Develop cloud-based resources to analyze and visualize marine ’omics data;
• develop metadata standards for eDNA samples in collaboration with national and international consortia of environmental genomics experts;
• Lead analysis efforts on a range of marine ’omics projects, including surveys of fish eDNA, harmful algal blooms, and pelagic, benthic, and host-associated microbial communities;
• Collaborate with NOAA and academic investigators to combine emerging technologies (e.g., artificial intelligence, acoustics, and remote sensing) with ’omics technologies in support of NOAA’s mission areas;
• Develop and test new environmental sampling technologies in collaboration with NOAA and academic investigators;
• Share code and resources in public repositories and encourage the use of FAIR data principles;
• Develop workshops and online educational resources on bioinformatics and data science.
• A Ph.D. in bioinformatics, genomics, molecular biology, microbiology, systems biology, or a related field;
• Extensive experience with biological big data (e.g., genomics, metagenomics, transcriptomics, and other ’omics datasets);
• Extensive experience with bioinformatics software, DNA sequence analysis, data science programming (e.g., Python, R), the Unix command line, and computational workflows;
• Experience with high-performance computing environments and cloud computing;
• A strong publication record;
• Strong written and oral communication skills; and
• Teaching experience in the classroom and online, including developing course curricula.
The most qualified candidates will also have the following experience:
• coordinating large data analysis efforts involving many institutions and principal investigators;
• serving as a member of national and international consortia of environmental ’omics experts;
• using machine learning and artificial intelligence applications; and
• using code sharing and protocol sharing services.
Instructions for Applying:
Link to apply: http://explore.msujobs.msstate.edu/
Apply online by submitting a cover letter, resume, and a copy of transcript(s). Any social security
numbers included on requested transcripts should be redacted prior to submitting online.
Position contingent upon funding availability.
Equal Employment Opportunity Statement:
MSU is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, religion, national origin, disability, age, sexual orientation, genetic information, pregnancy, gender identity, status as a U.S. veteran, and/or any other status protected by applicable law. We always welcome nominations and applications from women, members of any minority group, and others who share our passion for building a diverse community that reflects the diversity in our student population.