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Postdoctoral Image Processing Jobs in Boston, MA

Research experience in applying ML and deep learning techniques to medical image processing ... Preferred Qualifications * 2+ years of postdoctoral research or industry experience. * Hands-on ...

Research Lab Tech I

Boston, MA ยท On-site

$21 - $29.01/hr

... postdoctoral fellows with fluorescence microscopy image analysis Additional Job Details (if ... processing is a priority. Remote Type Onsite Work Location 185 Cambridge Street Scheduled Weekly ...

Postdoctoral Image Processing information

See Boston, MA salary details

$27.2K

$64.1K

$90.7K

How much do postdoctoral image processing jobs pay per year?

As of Jul 14, 2026, the average yearly pay for postdoctoral image processing 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 a Postdoctoral Image Processing job?

A Postdoctoral Image Processing job involves advanced research focused on developing and improving image analysis techniques using computational methods such as machine learning, computer vision, or signal processing. Postdocs in this field work on projects related to medical imaging, remote sensing, autonomous systems, or other scientific applications. They typically collaborate with interdisciplinary teams, publish research findings, and contribute to algorithm development. The role requires strong programming skills, experience with image processing tools, and expertise in mathematical modeling.

What is a postdoc's salary?

A postdoctoral researcher in image processing typically earns between $50,000 and $65,000 annually, depending on the institution, location, and funding source. Salaries may increase with experience, additional skills, and grant support, and postdocs often work full-time with research-focused responsibilities.

Is it difficult to get a postdoc position?

Securing a postdoctoral image processing position can be competitive and typically requires a strong research background, relevant skills in image analysis and programming, and a Ph.D. in a related field. Success often depends on the candidate's publication record, research experience, and the availability of funding or openings in the specific area of interest.

Is image processing DSP?

Postdoctoral image processing roles typically involve developing algorithms and techniques to analyze and enhance visual data, which can include digital signal processing (DSP) methods. While DSP is related and often used in image processing, the job focuses more broadly on computer vision, machine learning, and software tools like MATLAB or Python. Knowledge of DSP concepts can be beneficial but is not always a core requirement for such positions.

What are some common challenges faced by postdoctoral researchers in image processing roles?

Postdoctoral image processing researchers often encounter challenges related to handling large datasets, ensuring data quality, and developing efficient algorithms that meet project requirements. Balancing independent research with collaborative projects can be demanding, and staying current on rapidly evolving technology and methodologies is crucial. Additionally, translating cutting-edge image processing techniques into practical solutions for real-world problems often requires persistent troubleshooting and interdisciplinary teamwork. These challenges provide valuable opportunities for professional growth and skill development, making the role both rewarding and intellectually stimulating.

What are the key skills and qualifications needed to thrive in the Postdoctoral Image Processing position, and why are they important?

To thrive as a Postdoctoral Image Processing specialist, a solid background in image analysis, computer vision, and programming (often using Python, MATLAB, or C++) is essential, typically backed by a PhD in a relevant scientific or engineering field. Experience with advanced image processing tools, machine learning frameworks (such as TensorFlow or PyTorch), and large-scale data analysis platforms is highly valued. Strong problem-solving abilities, effective communication, and collaborative skills help set candidates apart in multidisciplinary research environments. These competencies are crucial for developing innovative image analysis solutions, advancing research objectives, and working efficiently within dynamic research teams.

Can I do postdoc without a PhD?

Postdoctoral positions typically require a PhD as a minimum qualification, especially in fields like image processing. Some institutions may consider candidates with equivalent research experience or a master's degree combined with significant research, but these cases are uncommon. Having a PhD ensures eligibility for most postdoctoral roles in research-intensive environments.
What are popular job titles related to Postdoctoral Image Processing jobs in Boston, MA? For Postdoctoral Image Processing jobs in Boston, MA, the most frequently searched job titles are:
Infographic showing various Postdoctoral Image Processing job openings in Boston, MA as of July 2026, with employment types broken down into 2% As Needed, 70% Full Time, 25% Part Time, and 3% Contract. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $64,121 per year, or $30.8 per hour.
Sr. ML Scientist

Sr. ML Scientist

Cleerly

Boston, MA โ€ข On-site

Full-time

Re-posted 26 days ago


Job description

About Cleerly
We're Cleerly - a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location.
Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks.
At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description.
While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time.
Cleerly is committed to providing safe and effective medical software that meets customer needs and our intended use. The adherence to all applicable regulatory and statutory requirements establishes a clear framework for setting measurable quality objectives. Our commitment to continually improving our products and processes proactively manages risks, ensuring ongoing compliance throughout the entire software lifecycle. Understanding this role's relevance and importance is critical to achieving Cleerly's quality objectives.
About the Opportunity
We are seeking a highly skilled Machine Learning Scientist to drive the development and translation of cutting-edge ML models that have a direct impact on the care pathway for heart disease diagnosis and prognosis. In this role, you will collaborate with ML scientists, data engineers, biostatisticians, regulatory experts, and senior leadership to understand clinical requirements, develop innovative solutions, and support product development and regulatory approvals. You will also engage in high-impact research collaborations with world-renowned academic and medical institutions.
Key Responsibilities
  • Research and develop state-of-the-art machine learning models for coronary CT angiography imaging applications.
  • Conduct rigorous analysis and validation of machine learning algorithms and prototypes.
  • Explore novel methods for processing and analyzing large, complex medical imaging datasets.
  • Collaborate with engineering teams to deploy ML algorithms in clinical practice.
  • Present research findings, insights, and recommendations to internal stakeholders and external collaborators.
  • Author scientific publications and contribute to patent development.
  • Manage collaborative research projects with leading academic partners.

Required Qualifications & Skills
  • Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field; OR an M.S. with 5+ years of relevant experience.
  • Strong theoretical and practical expertise in image science, applied mathematics, machine learning, and deep learning.
  • Research experience in applying ML and deep learning techniques to medical image processing, including segmentation, registration, classification, reconstruction, and detection.
  • Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis, MIDL etc.).
  • Proficiency in Python, with experience handling large datasets, implementing ML pipelines, and visualizing analysis results.
  • Ability to translate complex clinical requirements into machine learning solutions.
  • Strong critical thinking, problem-solving, and project management skills.
  • Excellent interpersonal, cross-functional, and cross-cultural collaboration skills.

Preferred Qualifications
  • 2+ years of postdoctoral research or industry experience.
  • Hands-on experience with developing and fine-tuning large foundation models.
  • Hands-on experience with developing multimodal machine learning algorithms.
  • Hands-on experience in developing and applying advanced deep learning models, including stable diffusion, vision transformers, semi-supervised/self-supervised/unsupervised learning, incremental learning, and continuous learning techniques.
  • Strong domain knowledge in CT imaging and its clinical applications.

The base salary range for this role varies by location and is aligned to market benchmarks.
  • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
  • Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:
  • Base Salary: $186,000 - $212,000
  • TTC: $214,000 - $245,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.
Working at Cleerly takes HEART. Discover our Core Values:
  • H: Humility- be a servant leader
  • E: Excellence- deliver world-changing results
  • A: Accountability- do what you say; expect the same from others
  • R: Remarkable- inspire & innovate with impact
  • T: Teamwork- together we win

Don't meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company.
OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.
For more information see our Privacy Policy (https://cleerlyhealth.com/privacy-policy). All official emails will come from @cleerlyhealth.com email accounts.
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