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Postdoc In Usa Jobs in Boston, MA (NOW HIRING)

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Postdoc In Usa information

See Boston, MA salary details

$27.2K

$64.1K

$90.7K

How much do postdoc in usa jobs pay per year?

As of Aug 22, 2026, the average yearly pay for postdoc in usa in Boston, MA is $64,121.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,200.00 and $72,200.00 per year, depending on experience, location, and employer.

What is the difference between Postdoc In Usa vs Research Scientist In Usa?

AspectPostdoc In UsaResearch Scientist In Usa
Required CredentialsPhD in relevant fieldMaster's or PhD, often with more industry experience
Work EnvironmentAcademic labs, universitiesIndustry labs, corporate R&D
Employer & Industry UsageUniversities, research institutionsPrivate companies, government agencies
Common Search & Comparison IntentAcademic research roles, postdoctoral opportunitiesIndustry research roles, career advancement

In summary, a Postdoc In Usa typically involves academic research with a PhD and focuses on advancing knowledge in a university or research institution. A Research Scientist In Usa often requires similar credentials but is more industry-oriented, working within corporate or government R&D settings for product development or applied research.

How much do postdocs make in the USA?

Postdoctoral researchers in the USA typically earn between $50,000 and $65,000 annually, with salaries varying based on the institution, field, experience, and location. Many postdocs receive additional benefits such as health insurance and research stipends, and salaries may increase with experience or additional funding sources.

How to get a postdoc position?

To secure a postdoc position, candidates should have a PhD in a relevant field, develop a strong research proposal, and identify suitable institutions or labs. Applying through academic job portals, contacting potential supervisors, and preparing a detailed CV and research statement are essential steps in the process.

Is doing a postdoc worth it?

A postdoc in the USA provides advanced research experience, skill development, and networking opportunities that can enhance future academic or industry careers. However, it often involves long hours, relatively low pay compared to industry roles, and temporary employment, so its value depends on individual career goals and field-specific opportunities.
Infographic showing various Postdoc In Usa job openings in Boston, MA as of August 2026, with employment types broken down into 70% Full Time, 23% Part Time, 6% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $64,121 per year, or $30.8 per hour.

Post-Doctoral Research Fellow - Laryngology AI

Mass General Brigham

Boston, MA • On-site

$53K - $72K/yr

Full-time

Re-posted 28 days ago


Brigham and Women's Hospital rating

8.1

Company rating: 8.1 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

120th of 1,061 rated hospitals


Job description

Job Summary:
Mass General Brigham is a not-for-profit organization that supports patient care, research, teaching, and community service. The Postdoctoral Fellow will support a multidisciplinary research initiative focused on advancing laryngology through real-time machine learning, computer vision, and quantitative analysis of laryngoscopy videos.
Responsibilities:
• Extract, curate, and manage clinical research datasets, including flexible laryngoscopy videos, frame-level annotations, laryngeal keypoint data, high-fidelity voice recordings, operative data, patient-reported outcomes, and relevant clinical metadata.
• Develop and maintain reproducible pipelines for video ingestion, annotation, quality control, de-identification, preprocessing, dataset versioning, and secure data management.
• Work with clinicians and research staff to standardize video and outcomes data collection protocols across clinic, operating room, and follow-up settings.
• Develop and refine deep learning, computer vision, and benchmark algorithms for real-time laryngeal structure tracking, examination-state classification, anatomic feature detection, lesion or abnormality localization, and quantitative laryngoscopy.
• Apply supervised, self-supervised, temporal, explainable and multimodal machine learning methods to clinical video and related datasets, with rigorous evaluation of model accuracy, generalizability, latency, robustness, and clinical interpretability.
• Translate model outputs into clinically meaningful metrics and visualization tools that can support research, standardized examination quality, documentation, and eventual clinical decision support.
• Lead and contribute to manuscripts on AI applications in laryngology, quantitative laryngoscopy, real-time video analysis, clinical validation, and related patient outcomes research.
• Prepare abstracts, posters, oral presentations, technical reports, grant materials, and documentation for scientific meetings, collaborators, and potential translational partners.
• Collaborate closely with laryngologists, research assistants, engineers, and clinical teams to test algorithms against real clinical workflows and to identify failure modes, usability needs, and implementation barriers.
• Participate in translational activities including clinical validation planning, regulatory and data-governance discussions, intellectual property development, and interactions with internal and external collaborators.
• Maintain research codebases, model documentation, databases, and analytic workflows in accordance with institutional research ethics, HIPAA, data security, and reproducibility standards.
• Attend team meetings, provide regular project updates, coordinate technical priorities, contribute to grant writing, and help define milestones for continued development of the laryngoscopy AI platform.
• Mentor junior staff, students, and research assistants in data annotation, computational methods, experimental design, coding practices, and scientific communication.
Qualifications:
Required:
• PhD or equivalent degree in computer science, biomedical engineering, electrical engineering, computational neuroscience, data science, statistics or a closely related field.
• Strong experience with modern machine learning methods, including deep learning, neural network architecture design, computer vision, video analysis, temporal modeling, supervised and/or self-supervised learning, and rigorous model evaluation strategies.
• Advanced programming skills in Python are required.
• Excellent verbal and written communication skills.
• Strong publication record or evidence of scholarly productivity.
• Ability to work independently.
• Interest in collaborating with clinicians to translate AI research into healthcare applications.
Preferred:
• Experience with PyTorch and/or TensorFlow/Keras
• Experience with OpenCV
• Experience with Git
• Experience with Linux/Unix environments
• Experience with high-performance or cloud-based computing platforms with GPU acceleration
• Experience with DeepLabCut software
Company:
Mass General Brigham specializes in providing medical treatments and health diagnostics services. Founded in 1994, the company is headquartered in Somerville, USA, with a team of 10001+ employees. The company is currently Late Stage.

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