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What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles are usually found in leading tech companies or biotech firms working on cutting-edge AI applications and may involve leadership, strategic planning, and specialized technical expertise.

What is an Artificial Intelligence Biotech professional?

An Artificial Intelligence Biotech professional is someone who applies AI technologies—including machine learning, data analysis, and automation—to advance research and development in biotechnology. This role often involves analyzing large datasets from genomics, drug discovery, or medical imaging to identify patterns, make predictions, and optimize processes. AI Biotech professionals work closely with biologists, chemists, and data scientists to accelerate innovations in areas such as personalized medicine, drug development, and disease diagnosis.

Can AI take over biotechnology jobs?

Artificial Intelligence Biotech professionals use AI tools to analyze data, automate experiments, and optimize processes in biotechnology. While AI can automate certain tasks, it typically complements human expertise rather than replacing entire roles, requiring skills in both biology and AI technologies. Human oversight remains essential for research design, interpretation, and ethical considerations.

How does an Artificial Intelligence Biotech professional typically collaborate with cross-functional teams in a biotech company?

Artificial Intelligence Biotech professionals often work closely with biologists, data scientists, software engineers, and clinical researchers to develop and implement AI-driven solutions for drug discovery and development. Regular collaboration involves translating biological questions into computational problems, sharing data insights, and integrating feedback from experimental teams. Effective communication and a willingness to bridge gaps between computational and experimental domains are key, as projects frequently require interdisciplinary teamwork and iterative development. This collaborative environment not only accelerates innovation but also provides opportunities for professional growth and learning from adjacent fields.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Biotech professional, and why are they important?

To thrive as an Artificial Intelligence Biotech professional, you need expertise in biology or biotechnology, strong programming skills (often in Python or R), and a solid understanding of machine learning concepts, typically supported by an advanced degree in a related field. Familiarity with computational biology tools, data analysis platforms, and cloud-based AI systems—as well as certifications in data science or bioinformatics—is highly valuable. Strong analytical thinking, interdisciplinary collaboration, and problem-solving abilities set outstanding professionals apart in this field. These skills are crucial for developing innovative biotech solutions, interpreting complex biological data, and driving advancements at the intersection of AI and life sciences.

What is the highest paying job in biotech?

In biotech, senior executive roles such as Chief Scientific Officer (CSO) or Chief Executive Officer (CEO) tend to be the highest paying positions, often earning six- or seven-figure salaries. These roles require extensive experience, leadership skills, and advanced knowledge of biotechnology and research management.

Is AI being used in biotech?

Artificial Intelligence Biotech roles involve applying AI techniques such as machine learning and data analysis to biological and medical research. AI is widely used in drug discovery, genomics, diagnostics, and personalized medicine to improve efficiency and accuracy. Professionals in this field often work with large datasets and require knowledge of bioinformatics and programming tools.
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Artificial Intelligence Biotech jobs near you
Infographic showing various Artificial Intelligence Biotech job openings in the United States as of July 2026, with employment types broken down into 80% Full Time, 16% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Artificial Intelligence SME

Tunnell Government Services

Washington, DC • On-site

Other

Re-posted 19 days ago

Job description

Artificial Intelligence SME
A Subject Matter Expert (SME) in artificial intelligence with a focus on healthcare and biomedical research is needed to provide contracted support to the Biomedical Advanced Research and Development Authority (BARDA), within the U.S. Department of Health and Human Services (HHS) in Washington, DC. The mission of BARDA is to develop and procure medical countermeasures (MCM) that address the public health and medical consequences of chemical, biological, radiological, and nuclear (CBRN) accidents, incidents and attacks, pandemic influenza, and emerging infectious diseases. Specifically, BARDA supports the advanced development and procurement of drugs, vaccines and other products that are considered priorities for national health security. For more information on BARDA please visit their website at: http://www.phe.gov/about/BARDA/Pages/default.aspx
Specifically, this individual will provide strategic, technical, and scientific expertise on the application of artificial intelligence (AI), machine learning (ML), and advanced data analytics to BARDA's mission of developing and procuring medical countermeasures (MCMs) for public health emergencies. The AI SME will advise leadership, program managers, and technical teams on the integration of AI technologies across BARDA's programs, ensuring the agency remains at the forefront of innovation in biodefense, pandemic preparedness, and health security.

Major Duties & Responsibilities:

  • Advise BARDA leadership on emerging trends, opportunities, and risks in AI and related technologies.
  • Provide subject matter expertise to BARDA divisions in evaluating AI-enabled technologies, tools, and proposals.
  • Assess AI approaches used in diagnostics, therapeutics, and vaccines including review of algorithms and algorithm performance
  • Guide the design, implementation, and validation of AI applications to ensure scientific rigor, transparency, and compliance with federal policies.
  • Contribute to the formulation of policies, standards, and ethical frameworks governing AI use within BARDA.
  • Perform expert analysis and provide recommendations for applications of machine learning/artificial intelligence tools and capabilities to field of biotech research and development (e.g. digital health, drug discovery and design, clinical validation).
  • Evaluating diverse data sets for use with AI products/tools, such as EHR, claims, laboratory/clinical data, physiological data, genomic data, viral variant data, and/or social determinants of health data.
  • Advising on improvements to data collection and curation, developing standards, and developing data use and sharing agreements to enable AI applications
  • Advising R&D partnerships developing artificial intelligence products/tools to improve model function, design clinical validation studies, and implement production deployment and maintenance processes.


Requirements:

  • Advanced degree (Ph.D. or M.S) in Computer Science, Data Science, Engineering, Bioinformatics, or a related field
  • Minimum of 8-10 years of experience applying AI/ML in healthcare, biomedical research, or health security contexts
  • Demonstrated expertise in algorithm development, data modeling, and AI governance
  • Demonstrated ability to communicate complex AI concepts to diverse stakeholders
  • Demonstrated experience serving as technical expert and leader in machine learning/artificial intelligence, data analytics, and algorithm development using medical and/or biological data.
  • Demonstrated understanding of software development principles and cloud-based platforms and services relevant to AI development.
  • Expertise in understanding artificial intelligence model function, clinical validation, production deployment, and ongoing maintenance

Must be a US Citizen or Full Green Card holder.

Apply