19 data scientist machine learning jobs at 15 companies in Somerville, MA
1d
Save
Mark Applied
Hide
1d
Machine Learning Scientist
Boston, Massachusetts, United States
$94k-$137k/yrOnsiteFull Time
Mass General Brigham: Provides integrated medical care, research, and clinical training services.
2+ YOEPhD (2–3 years) or Master’s (3–5 years) experience in data science; expertise in microbiome bioinformatics, deep learning, Python, PyTorch, high-performance computing, and strong communication skills.
Machine Learning Scientist — Agentic data pipelines
Boston or Boston
$148k-$210k/yrHybridFull Time
Iambic Therapeutics: Develops novel medicines using an AI-driven discovery platform.
Master's or PhD in a computational STEM field; strong Python; experience with LLM APIs and agent patterns; familiarity with biomedical data; data engineering and ETL.
Flagship Pioneering: Conceives, creates, and builds life science platform companies
2+ YOEPh.D. (2+ yrs industry) or M.S. (6+ yrs) with expertise in molecular ML, quantum chemistry/DFT, generative models; proficiency in Python and modern ML frameworks; experience integrating computational and experimental data.
Expedition Medicines: Develops covalent small molecule drugs using generative AI.
2+ YOEPh.D. (2+ yrs industry) or M.S. (6+ yrs) in ML/computational chemistry/CS/applied math; expertise in molecular ML, quantum chemistry/DFT, generative models; Python and PyTorch experience; data curation and cross-functional collaboration.
Iambic Therapeutics: Develops novel medicines using an AI-driven discovery platform.
3+ YOEMS in chemistry/bio/chemical engineering or PhD/equivalent; 3+ years relevant experience; strong Python and deep-learning fine-tuning skills; clinical dataset experience; data science and engineering best practices; familiarity with Docker, CUDA, Kubernetes, and Weights & Biases.
Senior Machine Learning Scientist I, Model-Driven Optimization
Somerville, Massachusetts, United States
$192k-$265k/yrOnsiteFull Time
Generate BiomedicinesNasdaq: GENB: Generates novel protein therapeutics using machine learning and generative biology.
PhD-level ML scientist with expertise in probabilistic ML, Bayesian optimization, active learning, experimental design, experience with biological/experimental data, Python and modern ML frameworks, and ability to deliver production-quality ML systems.
Flagship Pioneering: Conceives, creates, and builds life science platform companies
1+ YOEAdvanced degree in CS/ML/related, proven experience building LLM/RAG/agentic systems, expertise with Python, LangChain, Hugging Face Transformers, PyTorch, knowledge-graph and vector DBs; multi-omics experience a plus.
Python, LangChain, Hugging Face Transformers, PyTorch
ProFound Therapeutics: Discovering novel proteins to develop first-in-class medicines.
1+ YOEPhD (1–3 yrs industry) or MS (4–6 yrs) in a related field; hands-on experience building LLM/RAG/graph/agent systems; proficiency in Python and ML frameworks; experience with knowledge graphs and vector DBs; strong communication.
Python, LangChain, Hugging Face Transformers, PyTorch
3Play Media: Provides video accessibility and localization services for media content.
2+ YOE2+ years experience in signal processing, data science, or machine learning; strong verbal and written communication; proficient in Python and industry libraries; BS/MS/PhD in a related field.
Boston Red Sox: Operates the Boston Red Sox professional baseball franchise.
PhD or equivalent experience in a quantitative field preferred; expert SQL; proficiency in R or Python; advanced statistical and machine learning expertise; experience building predictive models and data pipelines; strong communication and baseball knowledge.
Boston Red Sox: Operates the Boston Red Sox professional baseball franchise.
Experience in predictive modeling and machine learning, strong analytical skills, deep baseball knowledge, proficiency with SQL and R or Python, ability to communicate technical findings to non-technical audiences. Advanced degree preferred.
WHOOP: Wearable technology for personalized health and performance tracking.
8+ YOE4+ Mgmt8+ years in ML or applied data science with consumer product experience; 4+ years managing ML scientists/engineers; experience scaling production ML orgs, cross-functional program leadership, and strong communication skills.
Systems & Technology Research: Develops advanced technology for national security and defense applications.
8+ YOEMS with 8+ years or PhD with 5+ years in applied math, physics, electrical engineering, CS, or data science; ML/AI expertise; PyTorch/TensorFlow/JAX; data science tools; Python/C/C++; ability to lead teams and obtain security clearance.
Tufts University: Private research university providing higher education and academic research.
5+ YOEMaster's (or MS+10) with 5+ years research in computational biology or related quantitative field; expertise in Python/R/MATLAB, machine learning, image analysis, statistical modeling; strong publication and grant experience; mentoring experience.
Data Scientist III - Insurance & Generative AI (Hybrid- Webster or Boston) (Webster, MA, US)
Webster or Boston
$101k-$160k/yrHybridFull Time
MAPFREBolsa de Madrid: MAP: Provides global insurance, reinsurance, and financial protection services.
2+ YOEBachelor's in a quantitative field with 8+ years experience (or Master's with 2+ years); deep expertise in predictive modeling, machine learning, Generative AI, MLOps, insurance domain knowledge, and leadership/communication skills.
Lead Research Scientist (Decision Sciences IQ Team)
Boston, Massachusetts, United States
$94k-$174k/yrHybridFull Time
Publicis GroupeEuronext Paris: PUB: Global communications, advertising, and digital transformation holding.
2+ YOEPh.D. in a quantitative field required, research experience in machine learning, 1+ years managing R&D projects, 2+ years programming experience, strong Python skills, experience with large datasets and modeling/statistical techniques.
4+ YOEAdvanced degree with relevant experience (PhD 4+ yrs, MS 6+ yrs, BS 8+ yrs) in computational/quantitative field; expertise in machine learning/agentic AI, multimodal biological and clinical data integration, computational target identification, strong scientific communication and publication record.