NYU Langone Health-posted 2 months ago
$67,771 - $105,167/Yr
Full-time • Mid Level
New York, NY
Hospitals

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 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. We have an exciting opportunity to join the Optimal Aging Institute at NYU Langone Health as a Senior Data Analyst. The Senior Data Analyst will work closely with Optimal Aging Institute faculty on high-impact research for the prediction, prevention, diagnosis, and management of age-related diseases.

  • Work on study design, protocol development, data preparation, statistical analysis, data interpretation, and manuscript preparation.
  • Develop, maintain and monitor new/existing databases, resolving database issues that may be complex, and optimizing performance for data extraction and analyses.
  • Develop, communicate and carry out procedures designed to facilitate data analyses and interpretation.
  • Engage in data checking, summary, and manipulation in consultation with data managers, principal investigators, and biostatisticians.
  • Program statistical analyses, summarize results, conduct simulations, perform biostatistical literature reviews, and assist principal investigators in their everyday work.
  • Consult with and train researchers in the use of STATA, R, SAS or other statistical software as well as statistical methodology.
  • Write statistical reports for clinical studies and manuscripts.
  • Participate and present in regular seminars and meetings.
  • Collaborate with faculty members and trainees in epidemiology, biostatistics and medicine on study design and statistical plans for grants and pilot studies.
  • Contribute to the preparation of manuscripts, conference presentations, grant proposals, and technical reports, including drafting methods and results sections and developing data visualizations.
  • Ensure reproducibility and transparency in analytic workflows through version control, thorough documentation, and code review.
  • Master's degree in a relevant field such as public health, epidemiology, biostatistics, data science, or a related discipline.
  • At least 2 years of relevant experience conducting data analysis in a healthcare, public health, or policy research setting.
  • Advanced proficiency in statistical methods for clinical trials, longitudinal and multivariate data, survival data analysis, weighted analyses, and/or high-dimensional data analysis.
  • Strong computational skills (i.e. proficiency in SQL, SAS, R, and/or Stata, or other, and the ability to learn new languages and systems rapidly).
  • Strong motivation and dependability, the ability to manage multiple analytic workstreams and ability to manage competing priorities.
  • Commitment to collaborative team science, a high level of organization, and effective oral and written communication skills.
  • Prior involvement in multidisciplinary academic research teams and contribution to grant-funded research projects.
  • Ability to effectively communicate with all levels of the organization.
  • Comprehensive benefits and wellness package.
  • Access to financial security benefits.
  • Generous time-off program.
  • Employee resources groups for peer support.
  • Holistic employee wellness program focusing on physical, mental, nutritional, sleep, social, financial, and preventive care.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service