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Artificial Intelligence Biotech Manager Jobs (NOW HIRING)

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Artificial Intelligence Biotech Manager information

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.

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 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, and why are they important?

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.
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Infographic showing various Artificial Intelligence Biotech Manager job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.
Artificial Intelligence | Artificial Intelligence

Artificial Intelligence | Artificial Intelligence

Diverse Lynx

Groton, CT • On-site

$50.75 - $66/hr

Full-time

Posted 8 days ago


Job description

Job Summary:
Diverse Lynx is a company focused on artificial intelligence solutions, and they are seeking a Technology Architect with expertise in AI. The role involves leading an AI team, driving prompt engineering initiatives, and supporting ticket resolution for AI-related issues.
Responsibilities:
• Lead AI AMS team AI Engineers India
• Drive Prompt Engineering for VOX and SAI
• Support L2L3 ticket resolution for AIrelated issues
Qualifications:
Required:
• Pharmacovigilance and drug safety processes
• E2B (Electronic Submission) standards
• Regulatory compliance (FDA, EMA)
• AIML Expertise
• RAG Retrieval
• Augmented Generation architecture and implementation
• Prompt Engineering and LLM optimization
• AI model monitoring, evaluation, and performance tuning
• Vector databases and embedding models
• AIML frameworks
• PyTorch
• TensorFlow
• LangChain
• Azure Foundation Platform
• Azure Foundation and Platform Build
• Provisioning and configuring Azure foundation services
• Managing environments Dev Test Prod subscriptions, resource groups
• Azure governance controls
• > 10 years of experience
• Lead AI AMS team AI Engineers India
• Drive Prompt Engineering for VOX and SAI
• Support L2L3 ticket resolution for AI-related issues
• Stakeholder communication and presentation
• Agile/Scrum methodologies
• Architecture documentation diagrams, decision logs, Design Specification Documents
• Engineering support for deployments and defect triage
Preferred:
• Coordinate with Infrastructure team for Azure resources
• Provide engineering support for deployments
Company:
Diverse Lynx is a WBENC- and NMSDC-certified partner, helping organizations turn diversity goals into measurable impact through staffing and contingent workforce solutions. Founded in 2002, the company is headquartered in Princeton, New Jersey, US, , with a team of 1001-5000 employees. The company is currently Late Stage.

Diverse Lynx logo

About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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