1

Temporary Machine Learning Postdoc Jobs in New York

Description POSTDOCTORAL ASSOCIATE New York University Tandon School of Engineering The Chemical ... machine learning. Expectations Candidates will be responsible for: * Developing multi-scale ...

Postdoctoral Associate

Piscataway, NJ · On-site

$20K/wk

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... as machine learning and multivariate decoding of neuroimaging data to predict subjective ... Postdoctoral Associate will collaborate with the Principal Investigator and team to design, conduct ...

Description POSTDOCTORAL ASSOCIATE New York University Tandon School of Engineering The Department ... of machine learning and AI. A strong record of publications and communication skills are also ...

Showing results 21-40

Temporary Machine Learning Postdoc information

What is a temporary machine learning postdoc?

A Temporary Machine Learning Postdoc is a fixed-term research position, typically held at a university or research institution, focused on advancing knowledge and techniques in machine learning. Postdoctoral researchers in this role work on specific projects, often collaborating with faculty, graduate students, or industry partners. The position is designed to provide advanced training and research experience after earning a PhD, usually lasting from several months to a couple of years. Temporary postdocs may contribute to publishing academic papers, developing algorithms, and mentoring students, while preparing for longer-term academic or industry careers.

What skills and qualifications are needed to thrive as a temporary machine learning postdoc?

To thrive as a Temporary Machine Learning Postdoc, you need a PhD in a relevant field, a solid grasp of machine learning theory, and strong programming skills (often in Python or R). Experience with tools such as TensorFlow, PyTorch, and high-performance computing environments, as well as a record of peer-reviewed research, is typically required. Strong analytical thinking, collaboration, and effective communication help you stand out in this research-intensive role. These skills are essential for advancing cutting-edge research, publishing impactful findings, and contributing to interdisciplinary projects.

What types of projects and collaborations can a temporary machine learning postdoc expect to engage in?

A Temporary Machine Learning Postdoc typically works on cutting-edge research projects, often contributing to ongoing studies or initiating novel investigations within the field. Collaboration is common, both within their immediate research group and with interdisciplinary teams, such as data scientists, domain experts, or industry partners. Postdocs may also mentor graduate students, present findings at conferences, and publish papers, gaining valuable experience that can lead to academic or industry roles. The environment is fast-paced and research-driven, offering opportunities for professional growth and expanding one's research portfolio.

What is the difference between Temporary Machine Learning Postdoc vs Data Scientist?

AspectTemporary Machine Learning PostdocData Scientist
CredentialsPhD in Computer Science, Data Science, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often requires experience
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, startups
Employer & Industry UsageUniversities, research centersBusiness, technology, finance, healthcare
Search & Comparison IntentUnderstanding research-focused roles, academic opportunitiesIndustry roles, applied data analysis, business impact

The Temporary Machine Learning Postdoc is primarily research-oriented, often in academic or research settings, requiring a PhD. In contrast, a Data Scientist typically works in industry, applying data analysis and machine learning to solve business problems, often with a Bachelor's or Master's degree. Both roles involve machine learning skills but differ in environment, focus, and experience level.

What are the most commonly searched types of Machine Learning Postdoc jobs in New York?

The most popular types of Machine Learning Postdoc jobs in New York are:

What are popular job titles related to Temporary Machine Learning Postdoc jobs in New York?

For Temporary Machine Learning Postdoc jobs in New York, the most frequently searched job titles are:

What job categories do people searching Temporary Machine Learning Postdoc jobs in New York look for?

The top searched job categories for Temporary Machine Learning Postdoc jobs in New York are:

What cities in New York are hiring for Temporary Machine Learning Postdoc jobs?

Cities in New York with the most Temporary Machine Learning Postdoc job openings:

Infographic showing various Temporary Machine Learning Postdoc job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

$53K - $73K/yr

Full-time

Re-posted 16 days ago


Mount Sinai rating

7.8

Company rating: 7.8 out of 10

Based on 295 frontline employees who took The Breakroom Quiz

128th of 887 rated healthcare providers


Job description

Roles & Responsibilities:

A postdoctoral position in bioinformatics/Biostatistics/data science is available at the Icahn School of Medicine at MountSinai.The successful candidate will be joining the Suarez-Farinas Lab, a collaborative group, involving the Center for Biostatistics and the Department of Genetics and GenomicSciences. Our primary focus is the analysis of high-dimensional biomedical data integrating statistical modelling, bioinformatics and machine learning to develop predictive models of diagnosis and prognosis, as well as a vehicle to understand pathophysiology of immune mediated diseases, including IBD, food allergy and viral infection.
Job description:
The applicant is expected to show excellence in independently conducting analyses of high dimensional data (such transcriptomic and proteomic data, wearable device data) including but not limited to applying methods for normalization and quality control (QC), statistical modeling and machine learning algorithms.This is a full-time, two-year postdoctoral position. Candidates may not have more than five years of postdoctoral experience including that from other institutions.
Review of applications will begin upon receiving.Interested individuals should send a CV and the names of three references to Dr. Suarez-Farinas (mayte.suarezfarinas@mssm.edu)

Requirements:

Education:
Doctoral degree or foreign equivalent in an interdisciplinary, data-driven field, witheducational emphasis in statistics/bioinformatics/data science/machine learning.
Requirements:
A superior academic performance, proficiency in R, Python,experience with handling ofBigDataand an ability to be self-directed with broadly-defined limits on assignments; excellent communication skills, both oral and written; and a demonstrated ability to interact efficiently in a highly multidisciplinary environment.

Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai's unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report's "Best Children's Hospitals" ranks Mount Sinai Kravis Children's Hospital among the country's best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek's "The World's Best Smart Hospitals" ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

.

Education:
Doctoral degree or foreign equivalent in an interdisciplinary, data-driven field, witheducational emphasis in statistics/bioinformatics/data science/machine learning.
Requirements:
A superior academic performance, proficiency in R, Python,experience with handling ofBigDataand an ability to be self-directed with broadly-defined limits on assignments; excellent communication skills, both oral and written; and a demonstrated ability to interact efficiently in a highly multidisciplinary environment.

Compensation Statement

The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for this role is $72,500.00 - $80,000.00 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

Non-Bargaining Unit, 811 - Population Health Science and Policy - ISM, Icahn School of Medicine

.


What Mount Sinai employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom