The Urology Department is seeking a Sr Research Data Analyst who will work under supervision of the Principal Investigator, creates, manages, analyses, and reports on research data pertaining to prostate cancer genetics and genomics. Data types include but not limited to baseline and follow-up clinical data, lab-based long-read, and traditional sequencing data. Collaborate with other computational biologists and investigators in study design, execution, and preparation of presentations and publications.
Specific Duties & Responsibilities
Database creation and management including data checking and cleaning, data merging, and preparation of data for analyses.
Carries out appropriate methodologic procedures for data analysis.
Prepares written reports of data analyses, including relevant methods, processes, input parameters, references, results, and conclusions.
Writes methods and analysis sections for research proposals.
Writes computer code to evaluate study designs and to accomplish the actual analyses.
Participates in regularly scheduled meetings with study investigators and team and prepares progress reports as needed.
Maintain appropriate systems for database associated management.
Keep abreast of technical and academic resources and advances related to the methodology. Adaptable to changing trends and technologies and commitment to learning new methods and techniques.
Other responsibilities including web lab experiments that may be assigned as needed.
Special Knowledge, Skills, & Abilities
Thorough understanding of computers.
Proficiency in at least one programming language is required. Proficiency in multiple languages, including R, Python, C++, Java, MATLAB, HIVE, SQL, and PHP is desired. Familiarity with or ability to learn the use of data management tools such as SAS, Oracle Visual Analyzer, Microsoft Power BI, Cognos, Tableau.
Knowledge of statistics and expertise in linear algebra and multivariate calculus as demonstrated by course work, published work, or examples of ongoing work.
Knowledge in biological sciences including molecular biology as demonstrated by course work or published work.
Master's Degree in Data Science, Mathematics, Applied Mathematics, Informatics, Computational Biology or other relevant disciplines. Typically requires PhD.
One-year related experience. Require highly specialized advanced knowledge, education and/or training in a specialized field of study to conduct research.
Demonstrated ability on significant graduate project or additional doctoral education may substitute for experience to the extent permitted by the JHU equivalency formula.
A thorough understanding and experience in statistics is strongly preferred.
Classified Title: Sr Research Data Analyst Role/Level/Range: ACRP/04/MD Starting Salary Range: $54,080-$74,390-$94,710 Annually (Commensurate with experience) Employee group: Full Time Schedule: Monday - Friday, 8:30 A.M - 5:00 P.M Exempt Status: Exempt Location: Hybrid/School of Medicine Campus Department name: SOM Uro Urology Research 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.
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