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Biology Content Developer Jobs in Virginia (NOW HIRING)

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Biology Content Developer information

What are the key skills and qualifications needed to thrive in the biology content developer position, and why are they important?

To thrive as a Biology Content Developer, you need a solid background in biology or related sciences, strong writing skills, and often a degree in biology, education, or science communication. Familiarity with content management systems (CMS), educational technology platforms, and graphic or interactive design tools are frequently required, and advanced certifications or teaching experience can be advantageous. Creativity, attention to detail, time management, and the ability to translate complex concepts for diverse audiences are standout soft skills. These competencies ensure high-quality, engaging, and accurate educational resources tailored to the needs of students, educators, or professional audiences.

What is a biology content developer?

A Biology Content Developer is responsible for creating educational materials, such as textbooks, online courses, assessments, and multimedia content, related to biological sciences. They research and develop accurate, engaging, and accessible content for a variety of audiences, including students, educators, and professionals. This role often involves collaborating with subject matter experts, instructional designers, and editors to ensure content meets educational standards. Biology Content Developers may also update existing materials to reflect new scientific discoveries and advancements.

What types of projects or content might a biology content developer work on day-to-day?

As a Biology Content Developer, you may create and edit a range of materials such as textbooks, online modules, interactive simulations, assessment questions, and multimedia resources. Your daily work often involves collaborating with subject matter experts, instructional designers, and graphic artists to ensure accuracy and alignment with educational standards or client needs. You'll likely spend time researching current scientific advancements to keep content up to date and reviewing feedback from educators or students to continually enhance learning materials. This dynamic environment offers variety and the opportunity to make a meaningful impact on biology education or communication.

What are the most commonly searched types of Biology Content Developer jobs in Virginia?

The most popular types of Biology Content Developer jobs in Virginia are:

Infographic showing various Biology Content Developer job openings in Virginia as of July 2026, with employment types broken down into 71% Full Time, 24% Part Time, 3% Temporary, and 2% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution.

AI Training Specialist - Life Sciences

micro1 AI

Hampton, VA • Remote

$90 - $120/hr

Part-time

Posted 19 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.