ML & Gen AI Scientist

Thinking Minds Inc.; Atlanta (GA); Sur place; USD 140 000 - 200 000; Plein temps

Résumé du poste

Thinking Minds Inc. is seeking an experienced Senior Scientist, Applied Machine Learning and Generative AI to advance a pharma R&D platform in the United States.

You will develop algorithms, build scalable models, and apply ML, causal inference, and generative AI to improve precision medicine and clinical decision support. You will work with multimodal patient data—epidemiological, clinical, genomic, and pathology imaging—collaborating with research, engineering, and data science teams to

Qualifications

• Strong applied machine learning skills.
• Causal inference expertise.
• Experience with generative AI.
• Proficiency in building and applying LLMs.
• Ability to communicate complex findings.

Responsabilités

• Develop and apply algorithms and causal models.
• Collaborate with Research, Engineering & Data Science teams.
• Co-develop solutions with Pharma partner teams.
• Communicate findings to stakeholders.
• Champion new machine learning capabilities.
• Work with leading pharmaceutical companies.

Connaissances

Applied ML

Causal inference

Generative AI

LLMs

Communication

Description du poste

Job Summary

Location: United States

Experience: 5 years in production AI/data systems

Job Type: Permanent

Thinking Minds’ client is looking for an experienced Senior Scientist, Applied Machine Learning and Generative AI to advance their platform supporting drug R&D. This role is crucial for developing algorithms and tools that enhance precision medicine. The successful candidate will leverage machine learning , causal inference , and generative AI to impact clinical care meaningfully.

Ideal Candidate Should Have

• Strong applied machine learning skills
• Causal inference expertise
• Experience with generative AI
• Proficiency in building and applying LLMs
• Ability to communicate complex findings

Role Overview

The role involves performing complex computational analyses to advance the client’s platform. The candidate will work with extensive multimodal patient datasets, including epidemiological , clinical , genomic , and pathology imaging data . The focus will be on driving innovation in machine learning and generative AI capabilities to meet client needs and industry trends.

Key Responsibilities

• Develop and apply algorithms and causal models
• Collaborate with Research, Engineering & Data Science teams
• Co-develop solutions with Pharma partner teams
• Communicate findings to stakeholders
• Champion new machine learning capabilities
• Work with leading pharmaceutical companies

Top Skills and Modules

• Machine Learning
• Generative AI
• Causal Inference
• LLMs
• Agentic Systems
• Foundation Models
• Data Analysis
• Computational Solutions