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Commission Machine Learning Neuroscience Jobs in Massachusetts

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Commission Machine Learning Neuroscience information

What is the difference between Commission Machine Learning Neuroscience vs Data Scientist?

AspectCommission Machine Learning NeuroscienceData Scientist
Required CredentialsMaster's or PhD in Neuroscience, Machine Learning, or related fieldsBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentResearch labs, healthcare, or tech companies focusing on neuroscience applicationsBusiness, tech firms, or consulting firms analyzing data across industries
Employer & Industry UsageResearch institutions, biotech, healthcare, AI startupsFinance, tech, marketing, healthcare, and consulting

Commission Machine Learning Neuroscience specialists focus on applying machine learning techniques to neuroscience data, often in research or healthcare settings. Data Scientists analyze large datasets across various industries, including finance and tech. While both roles require strong analytical skills, Commission Machine Learning Neuroscience emphasizes neuroscience expertise combined with machine learning, whereas Data Scientists have broader industry applications.

What cities in Massachusetts are hiring for Commission Machine Learning Neuroscience jobs?

Cities in Massachusetts with the most Commission Machine Learning Neuroscience job openings:

Postdoctoral Fellow in Agentic AI for Science

Harvard University

Cambridge, MA

$67K - $91K/yr

Full-time

Re-posted 26 days ago


Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

82nd of 631 rated colleges and universities


Job description

Position

Details

Title
Postdoctoral Fellow in Agentic AI for Science

School
Harvard John A. Paulson School of Engineering and Applied Sciences

Department/Area
Bioengineering

Position Description

Professor Jia Liu is seeking a highly-motivated postdoctoral researcher with a strong background in agentic artificial intelligence and machine learning. The successful candidate will conduct independent, high-impact research at the intersection of autonomous AI systems, neural computation, omics and neurobehavior analysis.

The position focuses on developing AI agents inspired by and applied to complex biological systems, with an emphasis on autonomous reasoning, decision-making, and reinforcement learning. The postdoctoral fellow will design, implement, and evaluate agentic AI frameworks that integrate computational bio/neuroscience principles with modern machine learning techniques.

Basic Qualifications

Ph.D. in a relevant field (e.g., computer science, ML, computational neuroscience, bioengineering).

Additional Qualifications

A strong research record demonstrated by publications in leading peer-reviewed journals and conferences (e.g., NeurIPS, ICML, ICLR, Neuron, Nature Methods, or related venues) is preferred. In addition, the successful candidate should demonstrate these skills:

  • Expertise in machine learning and AI, particularly LLM fine-tuning and reinforcement learning
  • Experience with multi-agent systems or autonomous AI frameworks
  • Solid foundation in computational biology
  • Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX)
  • Strong analytical, problem solving, and communication skills
  • Ability to work independently and collaboratively in interdisciplinary research environments

Special Instructions

Required application materials submitted through this site include 2-3 recommendation letters, a statement of research interest, and a current CV.

Contact Information

Melissa Mendez

Contact Email
mmendez@seas.harvard.edu

Salary Range

$67,600 - $91,826

Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field of scholarship, and accomplishments in the field.

Minimum Number of References Required
2

Maximum Number of References Allowed
3

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