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Generative Ai Pharmaceutical Jobs (NOW HIRING)

Johnson Controls

Ai Engineer

Milwaukee, WI · On-site

... care, pharmaceuticals, advanced manufacturing, and higher education. For more than 140 years ... Develop and deploy Generative AI systems and LLM-powered applications (e.g., GPT, Claude, LLaMA ...

Johnson Controls

Ai Engineer

Milwaukee, WI

... care, pharmaceuticals, advanced manufacturing, and higher education. For more than 140 years ... Develop and deploy Generative AI systems and LLM-powered applications (e.g., GPT, Claude, LLaMA ...

MSD

Sr. Scientist, Generative Protein Design

Cambridge, MA

$100K - $136K/yr

Integrate AI/ML protein design methods with structural biology and high-throughput experimental ... Pharmaceutical Science, or a related STEM field and a minimum of 0-3 years of industry experience ...

Merck & Co.

$100K - $136K/yr

Our company Discovery Biologics Disruptive Technologies is seeking an exceptional AI/ML protein ... Pharmaceutical Science, or a related STEM field and a minimum of 0-3 years of industry experience ...

Navitus Health Solutions, LLC

Architect, Enterprise AI

$124K - $170K/yr

STAR Bonus % (At Risk Maximum) 5.00 - Salaried Non-Management except pharmacists Work Schedule ... The Architect serves as the enterprise subject matter expert on AI platforms, generative AI, and ...

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Generative Ai Pharmaceutical information

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How much do generative ai pharmaceutical jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for generative ai pharmaceutical in the United States is $19.78, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $21.88 per hour, depending on experience, location, and employer.

How does a generative AI pharmaceutical professional typically collaborate with cross-functional teams?

Generative AI professionals in the pharmaceutical industry frequently work alongside researchers, data scientists, clinicians, and regulatory experts to develop innovative solutions for drug discovery and development. Their role often involves translating complex AI models into actionable insights that support scientific and business objectives. Effective communication and teamwork are essential, as they must ensure that AI-generated data aligns with clinical needs and complies with industry regulations. This collaborative environment provides ample opportunities to learn from experts in various fields and contribute to groundbreaking advancements in medicine.

What is the difference between Generative Ai Pharmaceutical vs Data Scientist in Pharma?

AspectGenerative Ai PharmaceuticalData Scientist in Pharma
Required CredentialsAdvanced degrees in AI, machine learning, or related fields; knowledge of pharmaceutical dataDegree in Data Science, Statistics, or related fields; experience with healthcare data
Work EnvironmentResearch labs, biotech companies, pharmaceutical firms focusing on AI-driven drug discoveryHealthcare and pharmaceutical companies analyzing clinical and operational data
Industry UsageDevelops AI models for drug design, biomarker discovery, and personalized medicineAnalyzes clinical trial data, patient records, and operational datasets

Generative Ai Pharmaceutical specialists focus on creating AI models to innovate drug development, while Data Scientists in Pharma analyze existing healthcare data to inform decisions. Both roles require strong technical skills but differ in their primary focus within the pharmaceutical industry.

What is a generative AI pharmaceutical professional?

A Generative AI Pharmaceutical professional is an expert who leverages artificial intelligence, particularly generative models, to accelerate drug discovery, design new molecules, and optimize pharmaceutical research and development processes. They use advanced algorithms and large datasets to predict how potential drugs will behave and identify promising candidates faster than traditional methods. These professionals often work at the intersection of computer science, biology, and chemistry, collaborating with researchers to bring innovative therapies to market more efficiently. Their work can significantly reduce the time and cost associated with developing new medicines.

What are the key skills and qualifications needed to thrive as a generative AI pharmaceutical specialist, and why are they important?

To thrive as a Generative AI Pharmaceutical Specialist, you need a strong background in pharmaceutical sciences, data analysis, and machine learning, typically supported by an advanced degree in a related field. Proficiency with AI frameworks (such as TensorFlow or PyTorch), programming languages like Python, and knowledge of drug discovery platforms are essential. Strong problem-solving abilities, interdisciplinary communication, and adaptability are key soft skills for excelling in this evolving field. These competencies are vital for driving innovation, accelerating drug development, and ensuring effective collaboration between AI and pharmaceutical experts.
More about Generative Ai Pharmaceutical jobs
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Generative Ai Pharmaceutical jobs near you
Infographic showing various Generative Ai Pharmaceutical job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $41,139 per year, or $19.8 per hour.

AI Solutions Engineer (Snowflake & Generative AI)

S Linx LLC

Princeton, NJ • On-site

Other

Posted 12 days ago

Job description

Job Title: AI Solutions Engineer (Snowflake & Generative AI)

Location: Princeton, NJ Locals only

Primary Responsibilities

·        Design and develop AI-powered applications using Snowflake Cortex, Large Language Models (LLMs), and Agentic AI frameworks.

·        Build and optimize semantic models and AI-ready datasets for structured and unstructured data.

·        Design and automate data ingestion, transformation, orchestration, and refresh pipelines.

·        Integrate clinical, commercial, and external data sources into enterprise AI workflows.

·        Optimize Snowflake performance and ensure production-ready, maintainable solutions.

·        Support deployment, testing, and operationalization of AI solutions.

Required Qualifications

·        7+ years of experience in Data Engineering, AI Engineering, or Software Engineering.

·        Strong hands-on experience with Snowflake, including Snowpark, SQL, and performance optimization.

·        Experience developing Generative AI applications using LLMs, Prompt Engineering, RAG, AI Agents, and workflow orchestration.

·        Strong programming skills in Python.

·        Experience designing semantic data models and enterprise data pipelines.

Preferred Qualifications

·        Experience with Snowflake Cortex (Analyst, Search, Complete, Intelligence, Cortex Agents).

·        Experience with healthcare or life sciences data.

·        Experience with OMOP, claims data, clinical trial data, or commercial pharmaceutical data.

Technical Skills

·        Snowflake (Snowpark, Cortex, SQL)

·        Python

·        Generative AI / LLMs

·        RAG & AI Agents

·        Prompt Engineering

·        Semantic Modeling

Nice-to-Have Experience

·        Commercial Pharma Analytics

·        Clinical Trials

·        Claims Data

·        OMOP Data Model

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