NYU Langone Health

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.. Master's degree in pertinent field (bioinformatics, biomedical engineering, computer science, clinical informatics, information management, biostatistics, epidemiology, public health).. 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.

data analyst

1124760_RR00087895 Job ID: 1124760_RR00087895 NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity, diversity, and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace diversity, inclusion, and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram. Position Summary We have an exciting opportunity to join our team as a Data Analyst. The newly created position is needed to store, analyze and communicate clinical-based and genomic data. Job Responsibilities <ul><li> Create descriptive data summaries including visualizations and written descriptions of data findings for a wide range of audiences</li><li> Contribute to the development of publications, reports and presentations</li><li> Provide technical assistance to analysts and researchers in accessing and analyzing datasets, as needed.</li><li> Create data storage system for the research team</li><li> Design and conduct analyses pertaining to data acquired through various data sources</li><li> Plan and implement data quality assurance plans and data checking and work with investigators and others to address all identified issues.</li><li> Work with staff and others to facilitate automation of standard, recurrent data acquisition, management, analysis and reporting.</li><li> Understand and follow all data security requirements</li><li> Create and maintain data dictionaries and other metadata resources to share with other analysts and researchers</li><li> Work with team to process and clean datasets acquired from public and private sources.</li><li> Acquire data from publicly available sources and work with team to store data on central resource repository</li><li> Performs custom bioinformatics and statistical analyses involving genomic, transcriptomics and methylation data.</li><li> Assists with developing new software tools and writes code for specific analyses. </li></ul>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. Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. NYU Grossman School of Medicine is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online. If you wish to view NYU Grossman School of Medicine's EEO policies, please click here. Please click here to view the Federal "EEO is the law" poster or visit https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm for more information. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $67,771.14 - $112,951.35 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here

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