Associate Research Scientist at NYU Langone Health

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Aug, 26

Salary

100000.0

Posted On

21 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Methods, Data Management, Study Design, Protocol Development, Data Interpretation, Manuscript Preparation, SAS, R, Stata, Clinical Trials Analysis, Longitudinal Data Analysis, Multivariate Data Analysis, Survival Data Analysis, High-dimensional Data Analysis, Electronic Health Record Data, Reproductive Epidemiology

Industry

Hospitals and Health Care

Description

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 [http://nyulangone.org], 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 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 inclusion and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu [http://med.nyu.edu/], and interact with us on LinkedIn [https://www.linkedin.com/company/nyulangonehealth/?viewAsMember=true], Glassdoor [https://www.glassdoor.com/Reviews/NYU-Langone-Health-Reviews-E121521.htm], Indeed [https://www.indeed.com/cmp/Nyu-Langone-Health/reviews], Facebook [https://facebook.com/NYUSchoolofMedicine], Twitter [https://twitter.com/nyuschoolofmed] and Instagram [https://instagram.com/nyuschoolofmed]. Position Summary: We have an exciting opportunity to join our team as a Associate Research Scientist. The Associate Research Scientist will work closely with Biostatistics faculty and clinical investigators in the Department of Obstetrics and Gynecology on application of statistical methods, data management, data workflows and monitoring across a wide range of areas. The Associate Research Scientist will work with clinical researchers to contribute to study design and protocol development, to perform statistical analysis, to contribute to data interpretation, and manuscript preparation. The Associate Research Scientist will engage with diverse datasets, including those from the electronic health record and clinical trials. Job Responsibilities: The Associate Research Scientist/Biostatistician will work closely with Biostatistics faculty and clinical investigators on statistical methods and applications. The successful candidate will: * Coordinate discussions on study design between various labs, scientific staff, and clinical collaborators. * Assist with developing protocols for the collection and quality control of the research data. * Work closely with Biostatistics faculty and clinical investigators to become familiar with statistical methods and applications in a wide range of research areas. * Apply various statistical methodologies to perform data analysis and data interpretation accurately, under the guidance of a faculty member or senior staff member in Biostatistics. * Identify and resolve any technical problems related to the data manipulation and programming in the software used. * Have opportunities to make contributions to scientific literature by serving as a resource/author/co-author for papers, assisting with manuscript preparation, reports and presentations. * Ensure timely and accurate completion of all assigned research projects. * Implement research techniques and methodologies, provide feedback and suggestion for improvement. * Maintain a thorough knowledge of the advances in specialized fields through attending scientific conferences and seminar series, reading scientific articles, participating in discussions during the staff meetings, etc. * Determine the need for and participate in establishing research policies, procedures and practices, when necessary. * Develop new ideas to enhance research efforts. Exercise a high degree of creativity, foresight, and mature judgment in planning, organizing, and guiding scientific research programs and activities. * Formulate and conduct research covering the scope and range of complex problems that arise from the research projects. * Offer occasional lectures to collaborating groups on study design, biostatistical analysis, and/or interpretation of results. * Perform other duties as assigned. Minimum Qualifications: To qualify you must have a MS degree with at least 1 year of experience or equivalent combination of education and experience. Preferred Qualifications: Candidates must possess a master?s or doctoral degree in statistics, biostatistics, or related quantitative area and 2-4 years of relevant work experience. Qualified candidates must demonstrate proficiency in statistical methods for clinical trials, longitudinal and multivariate data, survival data analysis, and high-dimensional data analysis. Strong computational skills (i.e., proficiency in SAS, R, and/or Stata) are required. Candidates should have strong motivation and dependability, the ability to manage multiple projects simultaneously, a commitment to reproducible research practices, team science, and strong oral and written communication skills. Additionally, candidates with experience working with electronic health record and administrative data (vital records, Medicaid/Medicare or other claims data) and with training or experience in reproductive epidemiology or application of statistical methods to clinical obstetrics and gynecology are highly desired. 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. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. View Know Your Rights: Workplace discrimination is illegal [https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf]. 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 $90,000.00-$100,000.00 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 [https://cdn-static.findly.com/wp-content/uploads/sites/290/2017/04/pay-transp_formattedESQA508c.pdf]

Responsibilities

The Associate Research Scientist will apply statistical methods and manage data workflows for the Department of Obstetrics and Gynecology. They will collaborate with clinical investigators on study design, data analysis, and the preparation of scientific manuscripts.