- Страна
- США
- Зарплата
- 197 000 $ – 258 000 $
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Principal Data Scientist, Medical Imaging
Высокая оценка обусловлена престижностью инвесторов (a16z, Sequoia), социально значимой миссией и конкурентной заработной платой. Позиция предлагает уникальное сочетание глубокой науки и современных технологий ИИ в быстрорастущем секторе BioTech.
Сложность вакансии
Роль требует исключительной квалификации: степени PhD, глубокой экспертизы в медицинских изображениях (MRI, X-ray) и опыта работы с регуляторными стандартами FDA. Высокий уровень ответственности за разработку биомаркеров для клинических испытаний делает эту позицию крайне сложной.
Анализ зарплаты
Предлагаемая зарплата ($197k - $258k) находится на верхнем уровне рыночных ожиданий для Principal-позиций в Нью-Йорке и Бостоне. Она полностью соответствует высокой планке требований (PhD + 5 лет опыта) и специфике отрасли BioTech.
Сопроводительное письмо
I am writing to express my strong interest in the Principal Data Scientist position at Formation Bio. With a PhD in a relevant field and over five years of experience in developing production-grade AI models for medical imaging, I am excited about the opportunity to lead your efforts in integrating advanced imaging analytics into the drug development pipeline. My background in computer vision, specifically with MRI and X-ray modalities, aligns perfectly with your mission to accelerate clinical trials through AI-driven insights.
Throughout my career, I have successfully developed deep learning architectures for disease detection and segmentation, while ensuring compliance with DICOM standards. I am particularly drawn to Formation Bio's tech-driven approach to pharma and your commitment to overcoming the bottlenecks in clinical trials. I am confident that my technical expertise in PyTorch and my experience collaborating with clinical teams will allow me to contribute significantly to your portfolio and help bring new treatments to patients more efficiently.
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Откликнитесь в formationbio уже сейчас
Присоединяйтесь к Formation Bio, чтобы внедрять инновации в области медицинских изображений и ускорять разработку жизненно важных лекарств!
Описание вакансии
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, Sam Altman, 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 Principal 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
Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas. Please only apply if you reside in these locations or are willing to relocate.
Compensation:
The target salary range for this role is: $197,000 - $258,000.
Salary ranges are informed by a number of factors including geographic location. The range provided includes base salary only. In addition to base salary, we offer equity, comprehensive benefits, generous perks, hybrid flexibility, and more. If this range doesn't match your expectations, please still apply because we may have something else for you.
You will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
#LI-hybrid
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Навыки
- Python
- PyTorch
- TensorFlow
- Computer Vision
- Deep Learning
- Medical Imaging
- MRI
- X-Ray
- DICOM
- CNN
- Vision Transformers
- U-Net
- Segmentation
Возможные вопросы на собеседовании
Проверка глубины технических знаний в специфической области медицинского зрения.
Как вы подходите к решению проблемы нехватки размеченных данных при обучении моделей сегментации для редких патологий на МРТ-снимках?
Оценка опыта работы с отраслевыми стандартами, критически важными для интеграции в медицинские системы.
Опишите ваш опыт работы со стандартом DICOM и какими библиотеками Python вы предпочитаете пользоваться для обработки метаданных?
Важно понять, как кандидат обеспечивает надежность моделей для клинических решений.
Как вы обеспечиваете интерпретируемость и валидацию моделей глубокого обучения, чтобы радиологи и регуляторы могли доверять результатам анализа?
Проверка понимания специфики клинических исследований.
Каким был ваш опыт взаимодействия с регуляторными органами (например, FDA) в контексте использования ИИ-алгоритмов как конечных точек клинических испытаний?
Оценка лидерских качеств и умения работать на стыке дисциплин.
Расскажите о случае, когда вам пришлось переводить сложные технические метрики модели в бизнес-инсайты для руководства или клинических экспертов.
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- Страна
- США
- Зарплата
- 197 000 $ – 258 000 $