
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.
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.
Qualified candidates must be able to effectively communicate with all levels of the organization.
New York
NY
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.