Closed listing
Data Scientist and Analyst
- Valhalla, NY, United States
$75,000 USD / year
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- $75,000 USD / year
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Overview
The Data Scientist and Analyst reports to the CCR Director and Executive Director. Under the direction of the Director and Executive Director, the analyst assists with supervision and training of all full time, part time and per diem analyst staff of the CCR. This will be a 1.0 FTE senior analyst with possible faculty appointment.
Responsibilities
- Manage large data sets hosted by Touro and NYMC and those which are externally available. Collect, clean, and analyze complex information.
- Use machine learning to perform analysis and build predictive models that solve real-world problems. Design algorithms and machine learning models to support research projects, forecast trends and spot patterns.
- Support and provide technical support in the role of AI in research.
- Work with faculty, residents, fellows, and students of Touro and NYMC to provide consulting and technical support in planning, data assessment, data analysis, and interpretation of studies.
- Guide study design, sample size calculation, randomization procedures, and data analysis methods, perform statistical analyses, and interpret results for researchers.
- Generate figures and statistical tables for conference presentations and journal publications. Ensure adherence to statistical standards and best practices in research methodologies.
- Assist in writing and reviewing study design, methodologies and statistical sections of research proposals, manuscripts, and grant applications.
- Other duties as assigned.
Qualifications
- Masters in Data Science, Biostatistics or another data analysis or quantitative field.
- Demonstrated expertise in statistical methodologies, study design, and data analysis. Proficiency in statistical software packages including R, SAS, Python and STATA. Experience with survey software such as RedCAP. Ability to use SQL and tableau. Microsoft Office Suite – Word, Excel, PowerPoint, Outlook.
- Minimum of three years of related professional experience.
- Excellent communication and interpersonal skills, with the ability to effectively convey complex statistical concepts to diverse audiences. Strong organizational skills and the ability to manage multiple projects simultaneously.
- Commitment to fostering a collaborative and inclusive learning environment. Capability to work in consultant role with customer service skills.
- Local travel to Manhattan campus and possible out of state of travel of less than 10%.
Minimum Salary
USD $75,000.00/Yr.
Maximum Salary
USD $90,000.00/Yr.
New York Medical College offers a comprehensive benefits package for full-time employees* which includes:
- Full range of Health Plans
- Medical Plans (choice of EPO, PPO, High Deductible HSA)
- Flexible Spending Accounts (FSA)
- Dental Plans (PPO & HMO) and Vision Plan
- Dependent Care and Transit Programs
- Life Insurance, AD&D and Voluntary Supplemental Life Insurance
- Short-term and Long-term disability programs
- Retirement Plan (403b) - matching contribution up to 5% for eligible/enrolled employees following one year of employment (may make own pre-tax contributions immediately following employment)
- New York Medical College Tuition Exemption Program for eligible employees, their spouse and dependent children
- Legal plan
- Employee Assistance Program
- Early-Release Fridays (October - March)
- Generous Paid Time Off
- Vacation, Sick Leave, Personal Leave
- Annual Holiday Schedule
*Members of the 1199 SEIU and 32BJ unions may participate in some of NYMC’s voluntary benefits, but they participate in separate Health and Welfare benefit programs.
New York Medical College (NYMC), a member of Touro University, is a health sciences College whose purpose is to educate clinical and public health professionals as well as researchers, to conduct biomedical and population-based research. Through its faculty and affiliated partners, the College engenders a diverse and inclusive community that promotes an atmosphere of excellence, scholarship and professionalism.
Touro University is an equal opportunity employer. Touro University treats all employees, job applicants, and students without unlawful consideration of race, ethnicity, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth or related medical condition), age, disability, medical condition, marital status, genetic information, sexual orientation, gender, gender identity, gender expression, military service or veteran status, citizenship status, or any other classification protected by applicable federal, state or local laws. We are committed to ensuring the fulfillment of this policy in all decisions, including but not limited to, recruitment, the administration of educational programs and activities, hiring, compensation, training and apprenticeship, placement, promotion, upgrading, demotion, downgrading, transfer, layoff, suspension, expulsion and termination, and all other terms and conditions of admission, matriculation, and employment.
Inquiries or complaints concerning the non-discrimination policies should be sent to Nicole Barnett, 202 West 43rd Street, 11th Floor, New York, New York, 10036, nicole.barnett@touro.edu (646-565-6285) or, alternatively, to the Chief Compliance Officer at compliance@touro.edu and 646-565-6000 x55330.
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Job Locations US-NY-Valhalla
Requisition ID 2026-13802
Position Type Full-Time
Schedule Shift 1
Hours Per Week 35
Travel 10%
Category Faculty/Academic
FLSA Status Exempt
More about this job
Skills
- Build predictive models
- Research
- Technical support
- Data analysis
- Presentation skills
- R
- SAS
- Python
- SQL
- Microsoft Office
- Microsoft Word
- Microsoft Excel
- Microsoft PowerPoint
- Microsoft Outlook
- Communication skills
- Interpersonal skills
- Organizational skills
- Customer service
- ICIMS