The Bloomberg Kimmel Institute is seeking a Sr. Research Data Analyst to lead single cell RNA sequencing and TCR sequencing analytics. At the Bloomberg-Kimmel Institute for Cancer Immunotherapy (BKI), we are integrating complex immunogenomics with big data to dissect the driving patterns for responsiveness to immunotherapy, as well as identifying novel biomarkers to guide treatment decisions. Over the past year, the Smith/Pardoll Labs have generated massive immunogenomics datasets consisting of single cell RNA-seq/TCR-seq of ~3,000,000 cells from more than 100 specimens from non-small cell lung cancers and head and neck cancers with well-annotated clinical outcomes. In addition to this, we have generated bulk TCR sequencing data from >2,500 specimens consisting of data from over 2,000,000 cells. A dedicated research analyst is required to work with immunologists, senior bioinformaticians, and clinicians to fully mine this extensive dataset and to push forward innovative, novel discovery platforms, and ultimately, accelerate our work to impact clinical decision-making and improving patient outcomes.
The Sr. Research Data Analyst will be active in the data pre-processing stages as well as analysis and interpretation of results. 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. 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 candidate 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.
Special Knowledge, Skills & Abilities
Must be detail-oriented, focused, creative, and independent.
Proficiency in both written and spoken English with excellent communication skills.
Able to work independently and collaboratively; making necessary connections with experts in various biological and clinical groups.
Master's Degree in related discipline.
One year related experience.
Experience with single cell technologies.
Proficiency in R is required.
Knowledge and practical experience with other programming languages (e.g., Java, C or C++) and scripting languages (e.g., Perl, Python).
Familiarity with common computational biology tools and software packages, such as Bioconductor.
Experience with code development, optimization, and testing.
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.
Research experience in statistical genetics/genomics strongly preferred and a familiarity with next-generation sequence data and analysis tools is a plus.
Familiarity with T cell receptor immunogenomics and immunology is preferred.
Classified Title: Sr. Research Data Analyst Working Title: Sr. Research Data Analyst, BKI Role/Level/Range: ACRP/04/MD Starting Salary Range: $54,080 - $74,390 - $94,710/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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