We are seeking a Research Data Analyst who will be responsible for the analysis of cancer-related studies ranging from basic science through clinical trials. The individual is expected to function independently and in collaboration with faculty to solve problems posed by the clinical and laboratory investigators with supervision by the Oncology Research Faculty and Director of Mass Cytometry Facility. There will be an emphasis on the analysis of mass cytometry datasets (both suspension and imaging).
Specific Duties & Responsibilities
Manage datasets/variables and perform data cleaning.
Merge, create and recode variables to prepare data for analyses.
Develop and implement data quality assurance procedures to ensure validity and reliability of study results.
Create analysis datasets for use by other investigators.
Develop analytical code for use in a highly collaborative environment.
Write detailed documentation/specifications for analysis data sets and related files.
Perform and document analyses on large, complex datasets using statistical software packages. Work with investigators to in the performance of analyses.
Create tables and figures in publication-quality form summarizing the results of statistical analyses and present results orally to study investigators.
Responsible for maintaining the integrity and security of data during data processing.
Proactively seek to improve or optimize workflow and discuss with coordinator/supervisor as appropriate.
Utilize standard and non-standard biostatistical, bioinformatical, and database methods for the production of analyses.
Keep abreast of technical and academic resources related to the methodology of statistical analyses.
Discuss with colleagues, investigators, and supervisor the need for any additional analyses and/or special methodologic needs.
Special Knowledge, Skills, & Abilities
Proficient computing skills (particularly, R/Bioconductor, Python, and so on).
Thorough understanding of policies and procedures.
Effective working knowledge of Microsoft Office (particularly Word, Excel, and PowerPoint).
Good interpersonal skills in dealing with investigators and understanding their problems.
Good organizational, written, and verbal communication skills in the preparation and presentation of results.
Bachelor's Degree in related discipline.
Three years related experience.
Additional education may substitute for required experience to the extent permitted by the JHU equivalency formula.
Classified Title: Research Data Analyst Role/Level/Range: ACRP/04/MC Starting Salary Range: $46,560-$64,100-$81,650 Annually (Commensurate with experience) Employee group: Full Time Schedule: M-F 8:30am- 5:00pm Exempt Status: Exempt Location: School of Medicine Campus Department name: SOM Onc Cancer Immunology/GI Clinical Re 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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