Senior Data Scientist – Computer Vision & Biomedical Imaging jobs in United States
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Merck · 1 day ago

Senior Data Scientist – Computer Vision & Biomedical Imaging

Merck is a leading company in the pharmaceutical industry focused on inventing new medicines that save and improve lives. They are seeking a Senior Data Scientist with expertise in Computer Vision and Biomedical Imaging to develop and implement advanced AI/ML methodologies for identifying disease biology from large-scale biological data.

BiotechnologyHealth CareMedicalPharmaceutical
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Comp. & Benefits
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H1B Sponsorednote

Responsibilities

Design and develop, train, and implement novel ML algorithms particularly transformer-based Foundation Models for Target discovery leveraging large scale biological and imaging data
Rapidly prototype and iterate on model architectures using real-world data
Integrate multi-modal data (e.g., histology, spatial omics) into scalable learning frameworks
Collaborate with biologists and data scientists to define modeling goals and interpret results
Contribute to our long-term AI/ML strategy for drug discovery
Publish research findings in relevant conferences and journals and actively contribute to the scientific community through knowledge sharing and collaborations

Qualification

Deep LearningComputer VisionFoundation ModelsMachine Learning (ML)PythonDigital PathologyModel DevelopmentImage AnalysisData AnalysisLife ScienceMedical ImagingImage ProcessingConvolutional Neural Networks (CNN)Transformer ModelFoundation Model Fine TuningInterest in Life SciencesCommunicationCollaborative Skills

Required

PhD in Computer Science, Engineering, Data Science, AI/ML, Bioinformatics, Computational Biology, Genetics & Genomics, Mathematics, Statistics, Physics, Pharmaceutical Science, or related STEM field with 0+ years postdoctoral experience or Master's degree with 4+ years of industry experience
Strong background in deep learning, digital pathology, computer vision, and/or medical image analysis
Experience with large-scale model development and training (e.g., CNNs, transformers, contrastive/self-supervised learning)
Strong expertise and experience in modern AI/ML approaches, transformer-based Foundation models, representation learning, and related methodologies
Proficiency in programming languages such as Python, and experience with deep learning frameworks and libraries like PyTorch, etc
Interest in life sciences problems and disease biology, and willing to learn from and teach others
Excellent communication skills and ability to work collaboratively in multi-disciplinary team
Artificial Intelligence (AI)
Computer Vision
Convolutional Neural Networks (CNN)
Data Analysis
Data Science
Deep Learning
Digital Pathology
Foundation Model Fine Tuning
Foundation Models
Image Analysis
Image Processing
Life Science
Machine Learning (ML)
Medical Imaging
Model Development
Transformer Model

Preferred

Familiarity with life science data is a plus
Relevant publications in scientific journals and experience contributing to research communities, including NeurIPS, ICML, ICLR, etc
Exposure to spatial transcriptomics or multi-modal biomedical data
Drug Discovery Process
Drug Discovery Research
Genomics
Multimodality Imaging
Transcriptomics

Benefits

Medical, dental, vision healthcare and other insurance benefits (for employee and family)
Retirement benefits, including 401(k)
Paid holidays
Vacation
Compassionate and sick days

Company

Merck is a biopharmaceutical company that offers medicines and vaccines for various diseases.

Funding

Current Stage
Public Company
Total Funding
$5.59M
Key Investors
Private Capital AdvisorsGavi, the Vaccine Alliance
2018-11-25Post Ipo Equity· $0.59M
2016-01-21Series Unknown· $5M
1980-12-19IPO

Leadership Team

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Betty Larson
Executive Vice President and Chief Human Resources Officer
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Dean Li
Executive Vice President and President, Merck Research Laboratories
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