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Generative Ai Pharmaceutical Jobs (NOW HIRING)

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Generative Ai Pharmaceutical information

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How much do generative ai pharmaceutical jobs pay per hour?

As of Jun 16, 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 professional in the pharmaceutical industry 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
What cities are hiring for Generative Ai Pharmaceutical jobs? Cities with the most Generative Ai Pharmaceutical job openings:
What states have the most Generative Ai Pharmaceutical jobs? States with the most job openings for Generative Ai Pharmaceutical jobs include:
Infographic showing various Generative Ai Pharmaceutical job openings in the United States as of June 2026, with employment types broken down into 32% Full Time, and 68% Part Time. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $41,139 per year, or $19.8 per hour.

Image Producer - Generative AI & Creative Design

Pharmaceutical Company

South San Francisco, CA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

We are seeking a highly creative and technically skilled Image Producer to join our Content Suite team. In this role, you will leverage cutting-edge Generative AI technologies to create, refine, and scale high-quality visual assets that align with established brand standards and creative direction.

You will work closely with creative teams, art directors, and stakeholders to transform concepts into compelling imagery while maintaining exceptional attention to detail and visual consistency across campaigns.

Key Responsibilities

  • Create high-impact visual assets using advanced Generative AI tools.
  • Edit, enhance, and optimize image assets for marketing and digital campaigns.
  • Collaborate with art directors and creative teams to ensure visual consistency and brand compliance.
  • Translate creative concepts into scalable AI-generated visual content.
  • Maintain quality standards while meeting project deadlines in a fast-paced environment.
  • Continuously evaluate emerging AI tools and workflows to improve creative output and efficiency.
  • Support multi-channel content creation initiatives across digital and marketing platforms.

Required Qualifications

  • Expert-level proficiency with Adobe Creative Cloud, especially Photoshop.
  • Hands-on experience with Generative AI image creation tools such as Adobe Firefly, Google AI tools, Midjourney, DALL-E, Imagen, or similar platforms.
  • Strong image editing, retouching, compositing, and asset production skills.
  • Experience working in creative, marketing, branding, or digital content environments.
  • Excellent communication, collaboration, and project management abilities.
  • Ability to manage multiple projects while maintaining exceptional attention to detail.

Preferred Qualifications

  • Experience creating content within the pharmaceutical, biotech, healthcare, or medical device industries.
  • Experience supporting large-scale marketing campaigns and brand initiatives.