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 Research Scientist.

In this role, the successful candidate The Clinical and Translational Science Initiative (CTSI) at NYU Langone Health is launching the Biomedical Data Science Hub (Bio-DaSH) with the mission of making data science available to the NYU Langone Community at large. Bio-DaSH purpose is to provide data science services, including bioinformatics, clinical informatics, machine learning and exploratory analyses to those groups within the NYU Langone community in need of those services. We are seeking a highly motivated Bioinformatician / Data Scientist to join Bio-DaSH. In this role, the successful candidate will collaborate closely with various research groups to design, develop, and implement computational and data science solutions. Responsibilities include analyzing large-scale biological data, developing robust data pipelines, applying statistical methods, conducting statistical analyses and creating visually compelling reports and figures. The
successful candidate should be proficient in coding, adept at data wrangling, comfortable with a variety of opensource tools, and capable of communicating results effectively to both technical and non-technical audiences.

Job Responsibilities:

Data Analysis & Statistical Methods:

Perform statistical analyses on potentially large, multi-dimensional biological datasets.Develop and apply algorithms to derive insights from high-throughput sequencing, omics, and other
bioinformatics data.Train Machine Learning models using appropriate algorithms for classification or regression.

Pipeline Development & Automation:

Design and implement reproducible and scalable bioinformatics and data science pipelines.Integrate open-source tools and libraries to streamline workflows and expedite analyses.

Coding & Tool Utilization: 

Write robust, well-documented code in languages such as Python, R, and/or other relevant environments.Leverage bioinformatics and data science frameworks (e.g., Bioconductor, SciPy, etc.) to accelerate research projects.

Data Visualization & Reporting: 

Create insightful, publication-ready figures, charts, and dashboards to effectively communicate results. Write reports detailing project objectives, methodologies, findings, and recommended next steps.

Collaboration & Consulting: 

Work closely with cross-functional research teams to define project goals, deliverables, and timelines.Provide consultative support and guidance on best practices in bioinformatics and data science.

Continuous Learning & Innovation: 

Stay current with emerging tools, technologies, and methodologies in bioinformatics and data science.Implement solutions and contribute to improvement of the organizations data analytics ecosystem.

Documentation & Compliance: 

Maintain thorough records of analyses, pipelines, code, and version control documentation.Ensure compliance with data privacy regulations and institutional policies.

Minimum Qualifications:
To qualify you must have a MS degree and 2-4 years of experience or equivalent combination of education and experience.

Preferred Qualifications:
Masters or Ph.D. in Bioinformatics, Computational Biology, Data Science, Computer Science, Statistics, or a related field. Demonstrated experience (2+ years) in bioinformatics, data analysis, or a similar role in academia or industry. Substantial experience from having completed Post Doc training. Established a record of publications.

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 $70,000.00-$85,000.00 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