The laboratory of Dr. Jotham Suez at the Johns Hopkins Bloomberg School of Public Health seeks to recruit a Sr. Research Data Analyst with extensive experience analyzing biological data in a research environment, with an emphasis on microbiome analysis. We are a hybrid experimental/computational team utilizing big data (metagenomics, transcriptomics, metabolomics) to study the microbiome and virome in human health and disease. In this position, you will work collaboratively with members of the Suez Lab to address pressing questions at the intersection of basic sciences and public health. This will include analyzing large-scale datasets using advanced bioinformatic tools, developing and implementing novel computational approaches for data analysis, interpreting and presenting complex biological data to drive discovery, as well as mentoring and advising on statistical and computational aspects of experimental design. You will have the opportunity to lead independent, computationally focused projects. You should possess a degree in a relevant subject with an extensive analytical component (e.g., bioinformatics, statistics, molecular biology, mathematics) and an established track record (publications, preprints) in microbiome research. This position is flexible: remote/hybrid/in-person; full-time, or part-time.
We are committed to fostering a collegial, welcoming, and inclusive environment for scientists of all backgrounds regardless of ethnicity, nationality, gender, sexual orientation, gender identity, religion, age, or disability, and we are seeking individuals who share these values. Individuals from underrepresented groups in biomedicine are encouraged to apply.
Specific Duties & Responsibilities
Provide bioinformatics expertise to help Suez Lab scientists achieve their research objectives.
Provide expertise to inform on the experimental and analytical design process.
Analyze complex datasets using a wide range of biological resources and bioinformatic methods.
Apply analytical expertise to help scientists interpret results and make research decisions.
Work independently at all points of the data analysis workflow.
Participate in mentoring Suez Lab members by sharing expertise and experience.
Participate in the writing of grants and research proposals.
Participate in manuscript preparation.
Master's Degree in Bioinformatics, Statistics, Molecular Biology, Mathematics or relevant discipline with an extensive analytical component and an established track record (publications, preprints) in microbiome research.
One year of related experience with varied types of high-throughput sequencing data and analysis, in particular microbiome shotgun metagenomics.
Demonstrated ability on significant graduate project or additional doctoral education may substitute for experience to the extent permitted by the JHU equivalency formula.
Experience with any of the following, virome profiling, packages for identification of antimicrobial resistance in metagenomic datasets, transcriptomics and meta transcriptomics, metabolomics.
Classified Title: Sr. Research Data Analyst Role/Level/Range: ACRP/04/MD Starting Salary Range: Min $55,200 - Max $96,600 Annually ($94,710 targeted; Commensurate with experience) Employee group: Full Time Schedule: Monday to Friday: 8:30 am – 5 pm Exempt Status: Exempt Location: Remote Department name: W Harry Feinstone Dpt Molec Mblgy Imlgy Personnel area: School of Public Health
Total Rewards The referenced salary range is based on Johns Hopkins University's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/
Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines: JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job.
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