The Bloomberg Kimmel Institute is recruiting a Research Data Analyst(RDA) to lead single cell RNA sequencing and TCR sequencing analytics. The RDA will be active in the data pre-processing stages as well as analysis and interpretation of results. The RDA will be involved in designing and developing analysis plans to address biological hypotheses in our bank of single cell data, mostly acquired from lung cancer patients treated with checkpoint blockade. The position will interact daily with other data analysts within the Institute, as well as Immunologists, Genomics experts, and clinicians. This position requires collaboration with clinical and scientific investigators in research/study design, data analysis plans, algorithm development, grant applications, and preparation of presentations and publications. The position will work independently and in collaboration with faculty to solve problems posed by the clinical and laboratory investigators along the study design, data generation, collection and management process; interaction with bioinformatic experts, biostatistician program developers, computational scientists, health informatic experts as well as postdoc fellows from the Sidney Kimmel Comprehensive Cancer Center and the Bloomberg School of Public Health on our immunogenomic data mining initiatives with the goal of translating these findings into therapeutic modalities for cancer patients.
Specific Duties & Responsibilities
Plan data management including determining type, format of data and types of documentation, considering privacy, confidentiality and other ethical issues.
Facilitate acquisition of single cell sequencing data from core facilities.
Clean data by coding missing data, fixing or deleting miscoded data, transforming variables into more useful formats, and annotating the data in proper way, use descriptive statistics to help characterize and summarize the data.
Collaborate with clinical and scientific investigators in BKI to propose ideas for new projects, design research, develop data plan, and prepare analyses with general direction from investigators.
Apply different technical approaches to visualize the data and prepare publication-quality tables and graphs based on valid analysis.
Lead or participate actively in the team responsible for designing and validating analysis data sets, programs, and statistical output products.
Identify potential data problems from analytic queries and bring them to the attention of the team.
Demonstrate understanding of high dimensional data collection processes and data sets and share knowledge with collaborators.
Collaborate closely with investigators, project managers, and other team leadership to ensure that research study or project results and conclusions are presented accurately and without bias.
Demonstrate progress in ability to multi-task and manage time spent working with individual faculty members and on specific projects.
Participates in regularly schedule meetings with study investigators and team. Prepares progress reports as needed. Maintain appropriate systems for data organization.
Assure data quality for documentation and dissemination of data. Conduct and track specific activities to accomplish project goals, including evaluating and reporting data and documenting analytic procedures.
Able to work collaboratively in a team environment with a high degree of initiative and self-motivation.
Special Knowledge, Skills, & Abilities
Knowledge and practical experience with programming languages (e.g., Java, C or C++), a scripting language (e.g., Perl, Python), and a statistical environment (e.g. R).
Must be detail-oriented, focused, creative, and independent.
Proficiency in both written and spoken English with excellent communication skills.
Familiarity with common computational biology tools and software packages, such as Bioconductor.
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.
Masters Degree in related discipline.
Familiarity with T cell receptor immunogenomics and immunology is preferred.
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: Hybrid/School of Medicine Campus Department name: SOM Onc Cancer Immunology Lab Research Personnel area: School of Medicine
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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