Top Hybrid Data Science Jobs in Boston, MA

Reposted 15 Days AgoSaved
Hybrid
Boston, MA, USA
90K-150K Annually
Mid level
90K-150K Annually
Mid level
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
The Data Scientist II will lead RWE studies, derive insights from real-world clinical data, and contribute to methodologies using advanced statistical techniques and AI tools, collaborating closely with pharmaceutical partners.
Top Skills: AWSBigQueryGoogle Cloud PlatformRSQL
Reposted 18 Days AgoSaved
Hybrid
Framingham, MA, USA
92K-172K Annually
Mid level
92K-172K Annually
Mid level
Big Data • Healthtech • Software
As a Data Scientist, you will design and operationalize advanced analytics, develop scalable models, and collaborate with teams to enhance product capabilities in healthcare.
Top Skills: AWSAzureGCPJupyter NotebookMS OfficePysparkPythonSQL
Reposted 25 Days AgoSaved
Hybrid
Framingham, MA, USA
120K-165K Annually
Senior level
120K-165K Annually
Senior level
Automotive • eCommerce • Hardware • Music • Retail • Software • Wearables
The Senior Data Scientist will engage with business partners to solve problems using data science, lead model development, and mentor others, focusing on supply chain and causal modeling.
Top Skills: PythonSparkSQL
YesterdaySaved
Hybrid
Boston, MA, USA
Senior level
Senior level
Edtech
The Senior Data Scientist/Computational Biologist will analyze single-cell and multi-omics data, develop scalable workflows, and support HMS researchers through training while maintaining open-source software.
Top Skills: GitMachine LearningPythonPyTorchRShinyTensorFlow
Reposted 5 Days AgoSaved
Remote or Hybrid
Lexington, MA, USA
201K-236K Annually
Senior level
201K-236K Annually
Senior level
Artificial Intelligence • Machine Learning • Software • Biotech • Pharmaceutical
Lead design and deployment of graph ML and network-biology analyses to generate drug target hypotheses from RWD and multi-omic data. Prototype methods, integrate solutions with engineers, prioritize tasks, and communicate results to cross-functional stakeholders while championing data science best practices.
Top Skills: AWSDaskGitGraph DatabasesGraph Neural Networks (Gnn)Knowledge-GraphPythonPyTorchSpark
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