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Bio Science Subject Matter Expert Jobs (NOW HIRING)

Overview Subject Matter Expert (SME) JOB STATUS: Full-time CLEARANCE: Public Trust CERTIFICATION: N/A TRAVEL: Limited; as needed Must be US citizen Astrion has an exciting opportunity for a SUBJECT ...

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Overview Subject Matter Expert (SME) JOB STATUS: Full-time CLEARANCE: Public Trust CERTIFICATION: N/A TRAVEL: Limited; as needed Must be US citizen Astrion has an exciting opportunity for a SUBJECT ...

New

Subject Matter Expert II [Domain: (Analytical, organic or inorganic chemistry experience with ... Provide scientific support towards the development of any guidance or policies related to good ...

... CAC2S) Subject Matter Expert to join our team supporting the United States Marine Corps. In this ... Bachelor's degree in engineering, computer science, or a related field desired; equivalent ...

Cloud Subject Matter Expert Location: Arlington, VA Security Clearance:Secret Duties and Responsibilities The Cloud Subject Matter Expert (SME) supports this Transportation Security Administration ...

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Bio Science Subject Matter Expert information

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$41.5K

$142.5K

$201K

How much do bio science subject matter expert jobs pay per year?

As of Sep 13, 2026, the average yearly pay for bio science subject matter expert in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What is a bio science subject matter expert?

A Bio Science Subject Matter Expert (SME) is a professional with extensive knowledge and expertise in biological sciences, such as biology, biotechnology, or related fields. They provide specialized guidance and insights to organizations, helping with research, product development, training, or regulatory compliance. Bio Science SMEs often collaborate with multidisciplinary teams, review scientific content, and ensure accuracy in scientific projects and communications. Their role is crucial in bridging the gap between complex scientific concepts and practical applications in industry or academia.

What are the key skills and qualifications needed to thrive as a bio science subject matter expert?

To thrive as a Bio Science Subject Matter Expert, you typically need an advanced degree in biological sciences along with deep subject knowledge and relevant research or industry experience. Familiarity with laboratory equipment, data analysis software (such as SPSS or R), and regulatory standards is often required, and certifications like CLP (Certified Life Science Professional) can be advantageous. Strong analytical thinking, attention to detail, and clear communication enable effective knowledge transfer and collaboration with multidisciplinary teams. These skills ensure accurate guidance, innovation, and compliance in scientific projects and product development.

How does a bio science subject matter expert typically collaborate with cross-functional teams in a project setting?

As a Bio Science Subject Matter Expert (SME), you will frequently work alongside cross-functional teams that may include researchers, product managers, regulatory specialists, and data analysts. Your primary role is to provide scientific guidance, ensure the accuracy of technical content, and help translate complex bioscience concepts for non-expert stakeholders. Effective communication and the ability to adapt your expertise to various project goals are key. Regular meetings, collaborative document reviews, and shared problem-solving sessions are common, making teamwork and flexibility essential for success.

What is the difference between Bio Science Subject Matter Expert vs Bio Scientist?

AspectBio Science Subject Matter ExpertBio Scientist
CredentialsAdvanced degrees (Master's or PhD), specialized knowledgeTypically a Master's or PhD in biology or related field
Work EnvironmentIndustry, consulting, regulatory agencies, R&D teamsLaboratories, research institutions, academia
Employer & Industry UsagePharmaceutical, biotech, healthcare companiesResearch labs, universities, biotech firms
Common Search & ComparisonBio Science Subject Matter Expert vs Bio Scientist

The main difference is that a Bio Science Subject Matter Expert provides specialized expertise and consulting within industry settings, often focusing on application and regulatory aspects. In contrast, a Bio Scientist primarily conducts research and experiments to generate new scientific knowledge. Both roles require advanced degrees, but their work environments and focus areas differ significantly.

What are popular job titles related to Bio Science Subject Matter Expert jobs?

For Bio Science Subject Matter Expert jobs, the most frequently searched job titles are:

Infographic showing various Bio Science Subject Matter Expert job openings in the United States as of September 2026, with employment types broken down into 81% Full Time, 6% Part Time, and 13% Contract. Highlights an 69% In-person, and 31% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Computer Science Subject Matter Expert (AI Training)

Remote

Weekday AI
Human Resources Consulting Services • 11 - 50 employees

Contractor

Re-posted 12 days ago


Job description

This role is for one of our clients
$20 - $40/hourpay
Role Title: Computer Science Subject Matter Expert (AI Training)
Role Type: Contractor
Location: Remote
We are seeking a Computer Science Subject Matter Expert to contribute to the development of next-generation AI systems by applying deep technical expertise to real-world computer science challenges. In this role, you will analyze, evaluate, and create high-quality technical content that enhances the reasoning, accuracy, and performance of AI models. Prior experience in Artificial Intelligence is not required-your expertise in Computer Science is the primary qualification.
Requirements
Key Responsibilities
Technical Analysis & Problem Solving
  • Analyze and evaluate complex computer science problems, solutions, and methodologies across various domains.
  • Assess technical approaches and recommend well-structured, scalable, and efficient solutions based on industry best practices.
  • Ensure technical accuracy, logical consistency, and clarity in all deliverables.
Content Development & Documentation
  • Author, review, and refine technical documentation, including system design documents, research papers, technical specifications, and architecture write-ups.
  • Develop real-world computer science scenarios, datasets, and case studies to support AI model training and evaluation.
  • Create structured technical explanations that improve AI understanding and reasoning.
AI Model Evaluation
  • Review AI-generated responses for technical correctness, completeness, and adherence to computer science principles.
  • Identify inaccuracies, inconsistencies, and opportunities for improvement while providing constructive feedback.
  • Support the evaluation and continuous enhancement of AI-driven tools through domain expertise.
Collaboration & Quality Improvement
  • Work closely with project coordinators and subject matter experts to refine task guidelines and improve data quality.
  • Provide clear written and verbal feedback to enhance AI model relevance, robustness, and performance.
  • Collaborate in a remote environment while maintaining high-quality deliverables and documentation.
Required Skills & Qualifications
  • Bachelor's, Master's, or PhD in Computer Science or a related field.
  • Strong understanding of core computer science concepts, including algorithms, data structures, operating systems, databases, networking, and software engineering.
  • Experience writing technical documentation, research papers, system design documents, or technical reports.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong written and verbal communication skills with the ability to explain complex technical concepts clearly.
  • Ability to work independently and deliver high-quality work in a remote environment.
Preferred Qualifications
  • Expertise in one or more specialized domains such as:
    • Algorithms & Data Structures
    • Distributed Systems
    • Computer Networks
    • Databases
    • Artificial Intelligence & Machine Learning
    • Cloud Computing
    • Cybersecurity
  • Experience participating in technical reviews, research projects, or open-source contributions.
  • Proven ability to simplify complex technical concepts for both technical and non-technical audiences.
  • Familiarity with current trends and emerging technologies in computer science.
Must-Have Skills
  • Computer Science
  • Algorithms & Data Structures
  • System Design
  • Technical Documentation
  • Problem Solving

Good-to-Have Skills
  • Distributed Systems
  • Databases
  • Networking
  • Artificial Intelligence
  • Research & Publications
  • Open Source Contributions
  • Software Engineering
  • Technical Reviews