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Life Science Prompt Engineering Jobs (NOW HIRING)

... prompt engineering to data scientists, developers, and business users Analyze failure modes and ... Basic Life/AD&D; Short-Term and Long-Term Disability, and an Employee Assistance Program (EAP)

... life science organizations. You will be working intimately with this strategic client ... Expertise in generative AI techniques like RAG, few-shot learning, prompt engineering, multi-agent ...

... Science, Computer Engineering, Software Engineering, or related technical field โ€ข 5-7 years of ... life) โ€ข Employer-matched 401K plan โ€ข Paid time off โ€ข Paid holidays Estimated Start Date:

... Science, Computer Engineering, Software Engineering, or related technical field โ€ข 5-7 years of ... life) โ€ข Employer-matched 401K plan โ€ข Paid time off โ€ข Paid holidays Estimated Start Date:

Prompt Design & Optimization * Design prompts for - summarization, risk insights, adverse media ... Education: Bachelor's/Master's in Engineering, Data Science, Business Analytics, or related

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.

Prompt Engineer

Union, NJ ยท On-site +1

Work closely with data scientists and ML engineers to integrate prompt engineering workflows. Create evaluation frameworks to benchmark prompt effectiveness. Conduct experiments with model parameters ...

Prompt Engineer

Norfolk, VA ยท On-site

$95K - $130K/yr

... the engineering team and collaborate with product managers, data scientists, and business ... Regardless of your working arrangement, we are here to support a healthy work-life balance through ...

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.

Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred. Proven experience in working with natural language processing and AI technologies. Strong ...

Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred. Proven experience in working with natural language processing and AI technologies. Strong ...

Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred. Proven experience in working with natural language processing and AI technologies. Strong ...

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Life Science Prompt Engineering information

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How much do life science prompt engineering jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for life science prompt engineering in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Life Science Prompt Engineer, and why are they important?

To thrive as a Life Science Prompt Engineer, you need a solid understanding of both life sciences (such as biology or chemistry) and natural language processing, typically supported by a relevant degree or equivalent experience. Familiarity with AI platforms, large language models, prompt engineering frameworks, and data analysis tools is essential. Strong analytical thinking, creativity, and effective communication skills help you craft precise prompts and collaborate with interdisciplinary teams. These skills ensure that AI-generated insights are accurate, relevant, and actionable for research and industry applications.

What is life science prompt engineering?

Life science prompt engineering involves designing, refining, and optimizing prompts to effectively interact with AI language models for applications in biology, healthcare, pharmaceuticals, and related fields. These prompt engineers create precise instructions or queries to extract accurate, relevant information or generate valuable content tailored to life science topics. Their work helps researchers, clinicians, and organizations leverage AI tools for tasks such as literature review, data analysis, hypothesis generation, and more. The role requires a combination of domain knowledge in life sciences and expertise in prompt design for AI systems.

What is the difference between Life Science Prompt Engineering vs Data Scientist in the life sciences?

AspectLife Science Prompt EngineeringData Scientist in the life sciences
Required credentialsBackground in life sciences, AI, or NLP; often with degrees in biology, bioinformatics, or related fieldsDegree in computer science, statistics, or related fields; often with experience in data analysis and programming
Work environmentResearch labs, AI development teams, biotech companiesResearch institutions, biotech firms, healthcare organizations
Employer and industry usageUsed in AI-driven drug discovery, bioinformatics, and research projectsApplied in data analysis, predictive modeling, and clinical research

Life Science Prompt Engineering focuses on designing prompts for AI models to interpret biological data, while Data Scientists analyze and interpret data to derive insights. Both roles require a strong background in life sciences or data analysis, but their core tasks differ: one emphasizes AI prompt design, the other data modeling and analysis.

How do Life Science Prompt Engineers typically collaborate with researchers and data scientists on interdisciplinary projects?

Life Science Prompt Engineers work closely with researchers and data scientists to design, refine, and optimize AI prompts tailored for scientific data analysis and literature review. They often bridge the gap between domain experts and technical teams by translating complex biological questions into effective prompt structures for large language models. Collaboration usually involves frequent meetings to clarify project goals, review prompt outputs, and iteratively improve results based on feedback, ensuring the AI-generated content is both scientifically accurate and actionable. This teamwork fosters a dynamic environment where communication skills and adaptability are essential, as project priorities and datasets can evolve rapidly.
Infographic showing various Life Science Prompt Engineering job openings in the United States as of May 2026, with employment types broken down into 66% Full Time, 19% Part Time, 5% Temporary, 5% Contract, and 5% Nights. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
Prompt Engineering Specialist - Remote / Telecommute

Prompt Engineering Specialist - Remote / Telecommute

CYNET SYSTEMS

South Windsor, CT โ€ข Remote

$55 - $60/hr

Contractor

Posted 16 days ago


Job description

Job Overview:
ย 
Pay Range: $55hr - $60hr
  • Responsible for supporting the Medicare STARS data science team by designing, optimizing, and managing AI prompts for analytics and agentic workflows on the Snowflake platform.ย 
  • The role involves developing prompt pipelines, improving AI-generated outputs, and collaborating with technical and business teams to support healthcare analytics initiatives.

Requirement/Must Have:

  • Hands-on experience working with Large Language Models (LLMs) such as GPT, Claude, or similar platforms.
  • Strong understanding of prompt engineering techniques and design patterns.
  • Experience with chain-of-thought prompting methodologies.
  • Familiarity with Snowflake Cortex or similar AI/ML platforms.
  • Strong analytical and problem-solving skills.
  • Experience collaborating with data science and business teams.
  • Knowledge of Python or SQL for data interaction and workflow support.
  • Strong documentation and communication skills.

Experience:

  • Experience designing and optimizing prompts for AI and analytics workflows.
  • Experience building and testing prompt pipelines.
  • Experience working with AI-generated outputs and performance optimization.
  • Healthcare domain experience preferred.
  • Medicare STARS knowledge preferred.

Responsibilities:

  • Design and optimize prompts for LLM-based workflows within Snowflakeโ€™s agentic DTI platform.
  • Collaborate with data science and business teams to translate Medicare STARS use cases into effective AI prompts.
  • Build and test prompt pipelines for proactive member insights, intervention flagging, and score tracking.
  • Continuously iterate on prompt performance to improve accuracy and reliability of AI-generated outputs.
  • Document prompt libraries, workflows, and best practices for team-wide reuse.
  • Support AI and analytics initiatives through prompt engineering and workflow optimization.

Should Have:

  • Experience with Snowflake Cortex or related AI/ML platforms.
  • Healthcare analytics or Medicare STARS domain knowledge.
  • Experience supporting AI-driven analytics workflows.
  • Familiarity with enterprise AI governance and prompt management practices.

Skills:

  • Prompt engineering.
  • Large Language Models (LLMs).
  • GPT and Claude platforms.
  • Chain-of-thought prompting.
  • Snowflake Cortex.
  • Python and SQL.
  • AI workflow optimization.
  • Healthcare analytics.
  • Documentation and collaboration.

Qualification And Education:

  • Bachelorโ€™s degree in Computer Science, Data Science, Information Technology, or related field preferred.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asiaโ€”ensuring speed, quality, and consistency in every hire.

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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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