Pay
Higher than most similar jobs
$178K–$232K against $118K–$193K, the middle half of what similar US postings state.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Data Scientist, Medical Imaging (Open Level)
Boston, MA; New York, NY
Actively hiring, first seen by us 13 days ago- Pay
$177,500–232,000/year · Total compensationAnnual period assumed — pay source
Experience with 3D image reconstruction and volumetric analysis Total Compensation Range: $177,500 - $232,000 Compensation Individual compensation is determined by several factors, including role scope, geographic location, and skills & experience. Your offer will reflect where you fall within the range based on these considerations. In addition to base salary, we offer equity, comprehensive benefits, and generous perks. If the posted range doesn't match your expectations, we still encourage you to apply!
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingLead the development of advanced deep learning models for medical image analysis, focusing on MRI and X-ray modalities for clinical trial applications
Design and implement automated image processing pipelines for disease detection, segmentation, and quantification across multiple therapeutic areas
Create innovative approaches for longitudinal image analysis to track disease progression and treatment efficacy in clinical trials, incl.
From the employer’s posting
Responsibilities Lead the development of advanced deep learning models for medical image analysis, focusing on MRI and X-ray modalities for clinical trial applications Design and implement automated image processing pipelines for disease detection, segmentation, and quantification across multiple therapeutic areas
Lead the development of advanced deep learning models for medical image analysis, focusing on MRI and X-ray modalities for clinical trial applications Design and implement automated image processing pipelines for disease detection, segmentation, and quantification across multiple therapeutic areas Create innovative approaches for longitudinal image analysis to track disease progression and treatment efficacy in clinical trials, incl. AI-based biomarkers and surrogate endpoints
Design and implement automated image processing pipelines for disease detection, segmentation, and quantification across multiple therapeutic areas Create innovative approaches for longitudinal image analysis to track disease progression and treatment efficacy in clinical trials, incl. AI-based biomarkers and surrogate endpoints Collaborate with clinical operations to integrate imaging AI solutions into trial protocols and workflows
What you’ll bring
All qualificationsCore experience
- 5+ years of post-PhD industry experience developing production-grade AI models for medical imaging applications
- Deep expertise in computer vision and deep learning architectures (CNNs, U-Net, Vision Transformers) for medical image analysis
- Demonstrated ability to collaborate with radiologists and clinical teams to translate medical insights into technical solutions
- Strong communication skills with proven ability to present complex imaging analytics to diverse stakeholders
Preferred experience
- Experience with regulatory submissions involving imaging endpoints or AI-based image analysis tools
- Experience with multi-modal imaging fusion and analysis (combining MRI, CT, PET data)
- Knowledge of clinical trial design and experience with imaging core lab operations
- Experience with federated learning or privacy-preserving techniques for medical imaging
Qualification wording
5+ years of post-PhD industry experience developing production-grade AI models for medical imaging applications
Deep expertise in computer vision and deep learning architectures (CNNs, U-Net, Vision Transformers) for medical image analysis
Demonstrated ability to collaborate with radiologists and clinical teams to translate medical insights into technical solutions
Strong communication skills with proven ability to present complex imaging analytics to diverse stakeholders
Experience with regulatory submissions involving imaging endpoints or AI-based image analysis tools
Experience with multi-modal imaging fusion and analysis (combining MRI, CT, PET data)
Knowledge of clinical trial design and experience with imaging core lab operations
Experience with federated learning or privacy-preserving techniques for medical imaging
Education & alternatives
Required Qualifications - PhD in Computer Science, Biomedical Engineering, Medical Physics, or related field with focus on medical imaging - 5+ years of post-PhD industry experience developing production-grade AI models for medical imaging applications
- PhD in Computer Science, Biomedical Engineering, Medical Physics, or related field with focus on medical imaging - 5+ years of post-PhD industry experience developing production-grade AI models for medical imaging applications - Deep expertise in computer vision and deep learning architectures (CNNs, U-Net, Vision Transformers) for medical image analysis
About Formation Bio
At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 22, 202613 days ago
- Recorded sightings
- 16
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 13
Similar jobs usually come down between day 7 and day 55.
At Formation Bio, jobs usually come down by about day 190.
From 10,100 similar postings that came down, and 6 of Formation Bio’s. Coming down is not always a hire.
Formation Bio is hiring
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- PyTorch
- TensorFlow
Where the posting names them
- Proven track record with MRI and X-ray image analysis, including hands-on experience with DICOM standards and medical imaging software - Strong programming skills in Python with expertise in PyTorch/TensorFlow and medical imaging libraries - Demonstrated ability to collaborate with radiologists and clinical teams to translate medical insights into technical solutions
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
About Formation Bio
Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development.
Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others.
You can read more at the following links:
At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently.
About the Position
As a Senior Data Scientist - Medical Imaging at Formation Bio, you will lead our efforts to integrate advanced imaging analytics and AI into our drug development pipeline. In this role, you'll pioneer the application of computer vision and deep learning to medical imaging data (MRI, X-ray, CT, PET) to accelerate clinical trials and improve patient outcomes. You'll develop state-of-the-art models for automated image analysis, disease progression monitoring, and treatment response assessment. Working closely with clinical teams, radiologists, and drug development experts, you'll translate complex imaging data into actionable insights that drive key decisions across our portfolio. This position offers a unique opportunity to revolutionize how medical imaging is leveraged in pharmaceutical development while directly impacting patient care.
Responsibilities
- Lead the development of advanced deep learning models for medical image analysis, focusing on MRI and X-ray modalities for clinical trial applications
- Design and implement automated image processing pipelines for disease detection, segmentation, and quantification across multiple therapeutic areas
- Create innovative approaches for longitudinal image analysis to track disease progression and treatment efficacy in clinical trials, incl. AI-based biomarkers and surrogate endpoints
- Collaborate with clinical operations to integrate imaging AI solutions into trial protocols and workflows
- Partner with regulatory teams to ensure imaging biomarkers and AI models meet FDA standards for clinical trial endpoints
- Build scalable infrastructure for processing and analyzing large-scale medical imaging datasets from multi-site clinical trials
- Present imaging insights and model performance to executive leadership and external partners
About You
Required Qualifications
- PhD in Computer Science, Biomedical Engineering, Medical Physics, or related field with focus on medical imaging
- 5+ years of post-PhD industry experience developing production-grade AI models for medical imaging applications
- Deep expertise in computer vision and deep learning architectures (CNNs, U-Net, Vision Transformers) for medical image analysis
- Proven track record with MRI and X-ray image analysis, including hands-on experience with DICOM standards and medical imaging software
- Strong programming skills in Python with expertise in PyTorch/TensorFlow and medical imaging libraries
- Demonstrated ability to collaborate with radiologists and clinical teams to translate medical insights into technical solutions
- Strong communication skills with proven ability to present complex imaging analytics to diverse stakeholders
Preferred Qualifications
- Experience with regulatory submissions involving imaging endpoints or AI-based image analysis tools
- Experience with multi-modal imaging fusion and analysis (combining MRI, CT, PET data)
- Knowledge of clinical trial design and experience with imaging core lab operations
- Experience with federated learning or privacy-preserving techniques for medical imaging
- Understanding of radiomics and quantitative imaging biomarker development
- Experience with 3D image reconstruction and volumetric analysis
Total Compensation Range: $177,500 - $232,000
Compensation Individual compensation is determined by several factors, including role scope, geographic location, and skills & experience. Your offer will reflect where you fall within the range based on these considerations. In addition to base salary, we offer equity, comprehensive benefits, and generous perks. If the posted range doesn't match your expectations, we still encourage you to apply!
Where We Hire Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered. Please apply only if you reside in these locations or are willing to relocate.
Equal Opportunity Formation Bio is committed to building a diverse and inclusive team. We are an equal opportunity employer and welcome candidates from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender identity or expression, sexual orientation, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by federal, state, or local law.
We've seen a rise in recruiting impersonation scams across the industry, where fake profiles pose as recruiters aiming to trick candidates into sharing personal and financial information through illegitimate interviews and job offers. All legitimate recruiting communications from Formation Bio will come from a @formation.bio email address. If you receive outreach from someone claiming to work at Formation Bio through any other domain or channel, please disregard it and do not share any personal information.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Experience with 3D image reconstruction and volumetric analysis Total Compensation Range: $177,500 - $232,000 Compensation Individual compensation is determined by several factors, including role scope, geographic location, and skills & experience. Your offer will reflect where you fall within the range based on these considerations. In addition to base salary, we offer equity, comprehensive benefits, and generous perks. If the posted range doesn't match your expectations, we still encourage you to apply!
- Location & working pattern
Boston, MA; New York, NY
This passage needs a closer read in the full description.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.