The Bloomberg Kimmel Institute is recruiting a Research Data Analyst who will lead single cell RNA sequencing and TCR sequencing analytics. This person will be active in the data pre-processing stages as well as analysis and interpretation of results.
Eligible candidate 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 candidate 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 Research Data Analyst should 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.
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.
Experience with server configuration and troubleshooting preferred.
Ability to use the internet and web-based scholarly search engines.
Minimum Qualifications (Mandatory):
Bachelor's Degree in Statistics, Computer Science Bioinformatics or related field. Master's Degree in Statistics, Computer Science Bioinformatics or related field preferred.
Minimum of 3 years related experience in analyzing genomic data.
Experience with code development, optimization, and testing.
Additional education may substitute for required experience, to the extend permitted by the JHU Equivalency Formula.
Special Knowledge, Skills, or Abilities:
Proficiency with bioinformatics concepts, methods, and tools, with experience working in languages such as R, C++, Perl or Python, and SQL.
Coursework or work experience covering topics in statistics, molecular biology, genetics, and script-level programming.
Proficiency with genomic data, tools, and databases.
Familiarity with common computational biology tools.
Experience with experimental design principles, reproducible research principles, and data storage, security, and safety.
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.
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.
Familiarity with T cell receptor immunogenomics and immunology is preferred.
JHU Equivalency Formula: 18 graduate degree credits may substitute for one year of experience.
Classified Title: Research Data Analyst Role/Level/Range: ACRP/04/MC Starting Salary Range: $45,650 - $62,850 annually (commensurate with experience) Employee group: Full Time Schedule: M-F 9am-5:00pm Exempt Status: Exempt Location: School of Medicine Campus Department name: Cancer Immunology Lab Research Personnel area: School of Medicine
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