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Biomedical Machine Learning Jobs in New York (NOW HIRING)

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

... machine-learning/deep-learning methodology research with application to biomedical data. • Mediation and causal-inference methodology research with application to medical/clinical-trial studies.

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$72K - $80K/yr

... machine-learning/deep-learning methodology research with application to biomedical data. • Mediation and causal-inference methodology research with application to medical/clinical-trial studies.

To qualify you must have a Masters degree in a quantitative discipline (Biomedical Informatics, Computer Science, Machine Learning, Applied Stascs, Mathematics or similar field) and 3 years of ...

Expectations Candidates will be responsible for * developing statistical signal processing, machine learning, and various mathematical algorithms for biomedical engineering applications * conducting ...

Have training in statistical signal processing, machine learning * Be capabile to apply various mathematical algorithms for biomedical engineering applications * Be able to conduct human subject ...

You'll work at the intersection of computational biology, machine learning, and drug development ... Aid in the development and training of AI agents to automate and optimize biomedical workflows

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

This Postdoctoral Research Fellowship position will focus primarily on using biomedical data science and machine learning methodologies to explore cardiovascular disease phenotypes in the Mount Sinai ...

... bioinformatics and machine learning approaches for guiding the protocols. Salary range In ... S. in biomedical engineering, molecular biology, immunology, chemical engineering or a related ...

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Biomedical Machine Learning information

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How much do biomedical machine learning jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for biomedical machine learning in New York is $31.21, according to ZipRecruiter salary data. Most workers in this role earn between $26.54 and $35.24 per hour, depending on experience, location, and employer.

What is a Biomedical Machine Learning job?

A Biomedical Machine Learning job involves developing and applying machine learning algorithms to analyze biomedical data for healthcare and research applications. Professionals in this field work with medical imaging, genomics, electronic health records, and wearable device data to improve disease diagnosis, treatment, and patient outcomes. They collaborate with researchers, clinicians, and data scientists to design predictive models and extract insights from complex biological data. This role requires expertise in machine learning, data processing, and domain-specific knowledge in healthcare or life sciences.

What does a typical day look like for someone in a Biomedical Machine Learning role?

A typical day in Biomedical Machine Learning involves cleaning and preparing biomedical datasets, developing or refining machine learning models, running experiments, and interpreting results in collaboration with domain experts such as bioinformaticians and clinicians. Professionals often participate in team meetings to discuss project goals, share insights, and adjust research directions based on feedback. The role may also involve reading scientific literature to stay current with new methodologies and contributing to academic publications or technical documentation. Working closely with both technical and healthcare-focused colleagues, you'll help translate data-driven insights into meaningful biomedical solutions that impact patient care or research outcomes.

What are the key skills and qualifications needed to thrive in the Biomedical Machine Learning position, and why are they important?

To thrive in Biomedical Machine Learning, you need a solid background in statistics, machine learning, programming (Python or R), and a strong understanding of biological or medical data, often supported by advanced degrees in computer science, biomedical engineering, or related fields. Experience with frameworks like TensorFlow, PyTorch, and familiarity with biomedical datasets is highly valued, and certifications in data science or biomedical informatics can be advantageous. Strong analytical thinking, communication skills, and the ability to collaborate with interdisciplinary teams are crucial soft skills. These competencies are vital to developing robust models that address complex healthcare challenges while ensuring scientific rigor and regulatory compliance.

What are the most commonly searched types of Biomedical Machine Learning jobs in New York? The most popular types of Biomedical Machine Learning jobs in New York are:
Infographic showing various Biomedical Machine Learning job openings in New York as of June 2026, with employment types broken down into 1% Internship, 3% As Needed, 82% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $64,912 per year, or $31.2 per hour.

$67K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 21 days ago


Rutgers University rating

7.7

Company rating: 7.7 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

216th of 537 rated colleges and universities


Job description

Position Information
Recruitment/Posting Title Post Doc Associate Department Engn - Biomedical Engineering Salary Details $67,275 Offer Information
The final salary offer may be determined by several factors, including, but not limited to, the candidate's qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university's broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.
Benefits
Rutgers offers a comprehensive benefits package to eligible employees, based on position, which includes:
  • Medical, prescription drug, and dental coverage
  • Paid vacation, holidays, and various leave programs
  • Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
  • Employee and dependent educational benefits
  • Life insurance coverage
  • Employee discounts programs
 
For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview.
Posting Summary
In this position, the post doctorial associate will use robotics driven by machine learning / artificial intelligence to explore the self-assembly of polymers and their interactions with proteins. The Gormley Lab has been developing these data driven tools to explore highly complex problems in macromolecular chemistry. It is our strong belief that machine learning, when complemented with an automated workflow, provides an ideal platform for designing advanced nanomaterials that are perhaps too complex to rationally design. This project is highly cross-disciplinary and requires expertise in data science, machine learning, and programming in Python. Additional experience in polymer synthesis/characterization, macromolecular characterization, enzymes, and basic assays are ideal. Willing to consider candidates who are computational only, as long as they see themselves applying machine learning tools to physical problems in macromolecular chemistry. Due to the multidisciplinary nature of the project, the candidate will be expected to collaborate heavily with others in the Gormley Lab as well as other labs at Rutgers and Princeton University. We are hoping to hire two post doctorial associates for a set of projects. The listed projects are fully supported by NIH and NSF grants.
Position Status Full Time Posting Number 25FA0661 Posting Open Date Posting Close Date
Qualifications
Minimum Education and Experience
PhD in biomedical engineering, chemical engineering, chemistry, computer science, or related fields. Willing to consider candidates who are computational only, as long as they see themselves applying machine learning tools to physical problems in macromolecular chemistry.
Certifications/Licenses Required Knowledge, Skills, and Abilities
PhD level is required because creative model design and training is inherently part of the development process.
Familiarity with materials (synthesis, functionalization, and characterization), macromolecules, and proteins is preferred. Evidence of a strong publication track record and working well in teams.
Preferred Qualifications
Familiarity with nanomaterials (synthesis, functionalization, and characterization) and enzymes is preferred. Evidence of a strong publication track record and working well in teams.
Equipment Utilized
If experimental, UV-Vis plate reader, dynamic light scattering (DLS), chromatography, and other basic equipment. Familiarity with SAXS/SANS is also ideal.
Physical Demands and Work Environment
Expect to spend several hours per day in the lab, which involves standing for long periods.
Overview Statement
Posting Details
Special Instructions to Applicants Quick Link to Posting https://rutgers-sb.peopleadmin.com/postings/254967 Campus Rutgers University-New Brunswick Home Location Campus Busch (RU-New Brunswick) City Piscataway State NJ Location Details
Pre-employment Screenings
All offers of employment are contingent upon successful completion of all pre-employment screenings.
Immunization Requirements

Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination.

Affirmative Action/Equal Employment Opportunity Statement
It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement

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