Data Analyst

Position Summary:
We have an exciting opportunity to join our team as a Data Analyst.

This position is needed to store, analyze and communicate clinical-based and genomic data.

Job Responsibilities:

Create descriptive data summaries including visualizations and written descriptions of data findings for a wide range of audiences

Contribute to the development of publications, reports and presentations

Provide technical assistance to analysts and researchers in accessing and analyzing datasets, as needed.

Create data storage system for the research team

Design and conduct analyses pertaining to data acquired through various data sources

Plan and implement data quality assurance plans and data checking and work with investigators and others to address all identified issues.

Work with staff and others to facilitate automation of standard, recurrent data acquisition, management, analysis and reporting.

Understand and follow all data security requirements

Create and maintain data dictionaries and other metadata resources to share with other analysts and researchers

Work with team to process and clean datasets acquired from public and private sources.

Acquire data from publicly available sources and work with team to store data on central resource repository

Performs custom bioinformatics and statistical analyses involving genomic, transcriptomics and methylation data.

Assists with developing new software tools and writes code for specific analyses.

Minimum Qualifications:
To qualify you must have a Bachelor's degree in public health; health care administration; or similar field. In-depth knowledge of best practices in data management; research methods; epidemiologic study design; quality performance measurement; quality improvement. Proven experience with statistical software programs such as SAS, Stata and/or R. Proven ability to design complex data management and analysis projects, working with professionals with a variety of skills and backgrounds. Experience in DNA and RNA library sequencing library construction.
Excellent written and oral communication skills, including technical documentation and data summarization. Works well with other team members.

Preferred Qualifications:
Master's degree in pertinent field (bioinformatics, biomedical engineering, computer science, clinical informatics, information management, biostatistics, epidemiology, public health). Experience with Hadoop and/or SQL are preferred.
Skills and Specifications:
Familiarity with genomic data (including RNAseq data, epigenetic data, and genotype data), clinical information, including diagnostic coding and clinical databases.
Experience with R and Python programming, statistical analyses and use of next generation sequencing tools such as STAR, BWA, GATK and others.
Knowledge of principles and methods of biostatistics; principles, theories, and procedures of epidemiology, including study design, statistical analysis, and causal inference. Knowledge of current research and trends in public health; appropriate computer processing methods used to generate, organize and display statistical and research data; and standard English grammar, spelling, and usage. Ability to apply mathematical formulas and make calculations. Ability to gather, organize, analyze, and report findings from analyses. Problem-solving skills. Planning/organizational skills. Personal motivation.