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Artificial Intelligence Biotech Manager Jobs in Colorado

MarketOnce

Artificial Intelligence Engineer

Denver, CO · On-site

$140K - $175K/yr

About the Opportunity: We are seeking an experienced Artificial Intelligence Engineer who ... Collaborate with product managers to translate user requirements into technical features

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Artificial Intelligence Biotech Manager information

What does an artificial intelligence biotech manager do?

An Artificial Intelligence Biotech Manager oversees the integration of AI technologies into biotechnology research and development projects. They manage teams of scientists, data analysts, and engineers to develop innovative solutions such as drug discovery, genomics analysis, or personalized medicine using machine learning and other AI tools. Their responsibilities include project management, collaboration with stakeholders, ensuring regulatory compliance, and staying updated with advancements in both AI and biotechnology. The role requires a blend of technical expertise, leadership skills, and strategic vision.

What are the key skills and qualifications needed to thrive as an artificial intelligence biotech manager?

To thrive as an Artificial Intelligence Biotech Manager, you need a strong background in biotechnology, data science, and AI, often supported by an advanced degree in a relevant field and experience in both biotech and AI project management. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), bioinformatics tools, and regulatory compliance systems is typically required. Exceptional leadership, strategic thinking, and cross-disciplinary communication skills help you effectively bridge the gap between technical teams and life sciences stakeholders. These competencies are crucial for driving innovation, ensuring regulatory compliance, and delivering impactful AI-driven solutions in the biotech sector.

How does an artificial intelligence biotech manager typically collaborate with cross-functional teams in the development of new biotech solutions?

An Artificial Intelligence Biotech Manager works closely with interdisciplinary teams, including data scientists, bioinformaticians, laboratory researchers, and regulatory experts. They coordinate project timelines, ensure clear communication of goals, and facilitate the integration of AI-driven approaches into biotech research. Regular meetings and collaborative platforms are often used to align priorities, troubleshoot challenges, and track progress. This role requires strong leadership and the ability to translate technical AI concepts into actionable strategies for the biotech team.

What is the difference between Artificial Intelligence Biotech Manager vs Data Scientist?

AspectArtificial Intelligence Biotech ManagerData Scientist
Required CredentialsAdvanced degree in biotech, AI, or related fields; experience in biotech and AI projectsDegree in computer science, statistics, or related fields; proficiency in programming and data analysis
Work EnvironmentBiotech companies, research labs, biotech startupsTech firms, research institutions, healthcare organizations
Employer & Industry UsageBiotech and pharmaceutical industries integrating AI solutionsVarious industries including tech, finance, healthcare, and research

While both roles involve data and AI, the Artificial Intelligence Biotech Manager focuses on leading AI projects within biotech companies, combining biotech expertise with AI management. Data Scientists primarily analyze data and develop models across diverse industries. The manager role emphasizes leadership and industry-specific knowledge, whereas Data Scientists focus on technical data analysis skills.

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Artificial Intelligence Biotech Manager jobs near you

Artificial Intelligence Engineer

Denver, CO • On-site

MarketOnce
Business Management Consulting • 11 - 50 employees
Learn more about MarketOnceexternal

$140K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

At MarketOnce, we empower businesses with the insights and strategies they need to excel in today's dynamic market. With a strong foundation in market research, we offer innovative solutions in research, software, consulting, advertising, and marketing to corporate, private equity firms, and other organizations seeking to achieve their goals.
Our team is distinguished by their client-centric approach-treating each client's business with the dedication and care as if it were their own. This commitment enables us to deliver personalized service and achieve the highest standards of success and innovation in everything we do. Together, our family of companies, including MarketOnce, ROI Rocket, and eAccountable, work towards delivering unparalleled solutions. Headquartered in Denver, Colorado, our global team collaborates from locations across the US and Europe.
We value curiosity, creativity, collaboration, and expertise, continuously striving to push boundaries and exceed our clients' expectations. Join us to be part of a culture that drives meaningful results.
About the Opportunity:
We are seeking an experienced Artificial Intelligence Engineer who specializes in delivering end-to-end AI solutions using Agentic AI frameworks and Generative AI technologies. This role demands consultative skills, technical expertise, and the ability to identify impactful use cases and articulate business benefits while implementing scalable AI solutions.
What You'll Do:
  • Design and implement Agentic AI architectures for enterprise workflows
  • Integrate Generative AI capabilities (LLMs, multimodal models) into solutions
  • Deliver end-to-end AI solutions from ideation to production deployment
  • Design prompt templates and implement retrieval strategies to increase answer precision and factuality
  • Assist in creating data pipelines for training and testing, including annotation and evaluation tooling
  • Collaborate with product managers to translate user requirements into technical features
  • Participate in error analysis, iterative model improvement, and performance tuning
  • Document code and workflows clearly; follow best practices for reproducibility and code quality
  • Engage with clients to identify high-value AI use cases and define business benefits
  • Conduct workshops and assessments to align AI strategies with organizational goals
  • Provide thought leadership on AI adoption and emerging trends
  • Develop reusable frameworks and accelerators for Agentic AI and GenAI
  • Ensure compliance with AI ethics, security, and governance standards
  • Stay ahead of industry developments in Agentic AI, autonomous agents, and LLM ecosystems
  • Orchestrate complex multi-agent workflows to handle tasks requiring planning, reasoning, and tool use

What We're Looking For:
  • Strong experience in Agentic AI frameworks Claude, OpenAI
  • Hands-on expertise with Generative AI (LLMs, prompt engineering, fine-tuning)
  • Proficiency in Python and familiarity with deep learning/NLP libraries
  • Experience with building retrieval-augmented generation pipelines
  • Knowledge of vector databases or semantic search concepts
  • Familiarity with cloud AI platforms ( Azure OpenAI)
  • Knowledge of MLOps practices and deployment pipelines
  • Ability to articulate the business value of AI solutions and drive client conversations
  • Experience building custom solutions and plugins using Claude
  • Experience implementing RAG using Azure AI Search (vector, semantic, and hybrid search) and OneLake/Microsoft Fabric

What We Offer:
  • Competitive base salary: $140,000-$175,000/year
  • Flexible vacation policy - take the time you need to recharge
  • Comprehensive health, vision & dental insurance
  • 401k with company contribution
  • Beautiful downtown Denver office with company-paid commuter benefits (parking or RTD EcoPass)
  • Opportunity for career progression with plenty of room for personal growth

What to Expect:
  • 1st Round: 30-45 minute interview with the Recruiter
  • 2nd Round: 45-minute interview with the Hiring Manager
  • 3rd Round: 2 hours of onsite interviews with the Hiring Team

Please note that we are fully onsite work environment, and require daily presence at our LoDo/Union Station office. We are not considering remote, hybrid, or out-of-area candidates, and do not work with outside recruiting agencies.
MarketOnce will accept applications for this role on an ongoing basis.
MarketOnce is an Equal Opportunity Employer. We believe in creating a diverse and inclusive workplace where everyone has the opportunity to thrive. We are committed to hiring individuals based on their skills and qualifications, regardless of race, gender, age, sexual orientation, disability, or any other characteristic. We welcome and encourage applications from all backgrounds.

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