We are seeking a Research Technologist who will work closely with faculty to manage, analyze, and communicate data and software, and will help with analysis and publication efforts. Perform analyses using bioinformatics and computational techniques and concepts.
This will involve communicating with statisticians, biologists and clinicians, and will use publicly available tools as well as bioinformatics and analysis tools developed in-house. This individual must keep current with published literature and new developments and technologies.
Specific Duties & Responsibilities
Consults with statistical investigators to determine their needs with respect to algorithm development for analysis of high-throughput genomics data in collaboration with other Research Assistants and postdocs.
Maintain and implement R code for packages for analysis of the various genomics data generated from single cell and spatial omics sequencing platform.
Carries out appropriate methodologic procedures for biologically informed, statistically driven analysis of high-dimensional genomics data.
Participates in regularly scheduled meetings with study investigators and team.
Prepares progress reports and helps with publication as needed.
Prepares Maintain appropriate systems for software development.
Equipment, Machine, or Tool Requirements
Experience with computers and servers and knowledge of Linux/UNIX as well as other common operating systems such as Mac OS and Windows is necessary.
Programming in R, C++. Experience developing and maintaining Bioconductor packages and with version control systems such as Git.
Ability to use the internet and web-based scholarly search engines.
Special Knowledge, Skills, or Abilities / Competencies
Proficiency with bioinformatics concepts, methods, and tools, with experience working in languages such as R, C++, Perl or Python.
Experience with Bioconductor packages.
Excellent interpersonal skills in consulting with researchers and understanding their problems.
Excellent writing and verbal skills in the preparation and presentation of reports.
Excellent organizational skills and attention to details are required.
Bachelor's Degree in Biology, Chemistry or related field.
Some related post-undergraduate work experience preferred.
Master's Degree in Bioengineering, Statistics, Computer Science Bioinformatics, Applied mathematics or related field.
Experience in R/C++/Python.
Experience with Linux/UNIX.
Classified Title: Research Technologist Role/Level/Range: ACRO40/E/02/CC Starting Salary Range: Min $15.50 - Max $26.00 HRLY ($42,432 budgeted; Commensurate with experience) Employee group: Full Time Schedule: 8:30 AM – 5:00 PM / M-F Exempt Status: Non-Exempt Location: School of Medicine Campus Department name: SOM Neuro Sci Neuroscience Personnel area: School of Medicine
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.
**Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date.
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