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Entry Level Ai Biology Jobs (NOW HIRING)

Clinical Laboratory Technologist Entry-level | #1 Hospital Worldwide | Excellent Room for Growth ... Bachelor's degree in chemistry or a human biological science (e.g., Biology, Chemistry ...

Post Doc Res Assoc

Salt Lake City, UT · On-site

$65K - $73K/yr

... P1 - Entry Level Pro FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per ... Hypotheses-driven interrogation of mito-MP biology * AI-guided design of therapeutic microproteins ...

Computational and AI approaches: microprotein bioinformatics, multiomic integration, protein ... Machine learning for biological data (e.g., protein language models, transformers, generative ...

Computational and AI approaches: microprotein bioinformatics, multiomic integration, protein ... Machine learning for biological data (e.g., protein language models, transformers, generative ...

Computational and AI approaches: microprotein bioinformatics, multiomic integration, protein ... Machine learning for biological data (e.g., protein language models, transformers, generative ...

Receive, process, and prepare biological samples for testing. Perform sample dilutions and record ... Experience Level Entry Level Job Type & Location This is a Contract position based out of ...

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Entry Level Ai Biology information

Can a biology student do artificial intelligence?

Entry Level AI Biology roles often require a strong foundation in biology and basic programming skills, such as Python or R. Biology students can pursue AI careers by gaining knowledge in machine learning, data analysis, and relevant tools through online courses or certifications, making the transition feasible with dedicated effort.

Can I get an AI job with no experience?

Entry level AI biology positions often require some foundational knowledge in biology and basic programming skills, such as Python or R. While prior experience is beneficial, candidates can improve their chances by completing relevant online courses, certifications, or internships to build practical skills and demonstrate their interest in the field.

What is the most entry-level AI job?

An entry-level AI job often involves roles such as AI intern, data analyst, or junior machine learning engineer, focusing on basic data processing, model training, and programming skills in languages like Python. These positions typically require foundational knowledge of AI concepts, some experience with relevant tools, and may offer on-the-job training for beginners.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as AI research directors or senior machine learning executives, which offer compensation in that range. These roles often require advanced skills in AI algorithms, data science, and leadership, and may involve working in tech companies or research institutions with significant responsibilities and expertise.

What is the difference between Entry Level Ai Biology vs Entry Level Bioinformatics Technician?

AspectEntry Level Ai BiologyEntry Level Bioinformatics Technician
Required CredentialsBachelor's in Biology, Computer Science, or related field; familiarity with AI toolsBachelor's in Biology, Bioinformatics, or related field; basic programming skills
Work EnvironmentResearch labs, biotech companies, tech firmsResearch institutions, healthcare, biotech companies
Industry UsageDeveloping AI models for biological data analysisAnalyzing biological data using bioinformatics tools
Common Search/ComparisonEntry Level Ai Biology vs Entry Level Bioinformatics Technician

Both roles require a background in biology and some technical skills, but Entry Level Ai Biology focuses on applying AI techniques to biological problems, while Entry Level Bioinformatics Technician emphasizes data analysis using bioinformatics tools. The choice depends on your interest in AI development versus data analysis within biological research.

More about Entry Level Ai Biology jobs
What cities are hiring for Entry Level Ai Biology jobs? Cities with the most Entry Level Ai Biology job openings:
What are the most commonly searched types of Ai Biology jobs? The most popular types of Ai Biology jobs are:
Infographic showing various Entry Level Ai Biology job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.
Research Associate, Biology

Research Associate, Biology

Anthropic

San Francisco, CA

Other

Posted 17 days ago


Job description

About the team

Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery.

About the role

We are hiring Research Associates: early-career bench scientists who will join a small team to help establish our biology research program. This is an entry-level role, great for individuals who have done some research during an undergrad or masters program and may be considering pursuing a PhD in Life Sciences in the future.

You'll work directly alongside senior scientists, executing and troubleshooting experiments at the bench while learning advanced techniques in a fast-moving, highly collaborative environment. We value curiosity, careful hands, and the willingness to take ownership of a result. Our scientists are eager to teach; we're hiring for motivation and trajectory as much as for existing skill.

This is a fully hands-on bench role - while familiarity with computational biology and bioinformatics is welcome, the role does not involve AI/ML model development.

Key responsibilities
  • Execute molecular biology and biochemistry experiments at the bench under the direction of senior scientists
  • Maintain meticulous, reproducible records and contribute to shared protocols
  • Troubleshoot experiments, propose adjustments, and present results clearly in group meetings
  • Maintain mammalian and bacterial cell lines, materials stocks, and reagent inventories
  • Learn and adopt new techniques rapidly as projects evolve, with training provided
Minimum qualifications
  • Have hands-on research experience in molecular biology, biochemistry, or a closely related field
  • Are proficient with foundational molecular biology techniques: PCR, gel electrophoresis, molecular cloning, and plasmid preparation
  • Have experience with aseptic technique and bacterial or mammalian cell culture, and with nucleic acid extraction, purification, and quantification
  • Follow, document, and adapt experimental protocols with care and precision
  • Are highly motivated, eager to learn, and energized by hands-on bench work
  • Are practical and resourceful - you'd rather find a way through than a reason it can't be done
  • Listen carefully, take feedback well, ask good questions, and are comfortable when priorities shift quickly
  • Are excited to use AI models as a tool at the bench to plan experiments, interpret data, and decide what to try next
Preferred qualifications
  • A BS or MS in molecular biology, biochemistry, chemical biology, microbiology, bioengineering, or a related discipline
  • Protein expression and purification experience (e.g., affinity, SEC, IEX)
  • Mammalian cell culture experience, including transfection and stable line maintenance
  • Enzyme kinetics or quantitative biochemical assay development (fluorescence, absorbance, FRET)
  • Next-generation sequencing library preparation experience
  • Familiarity with common bioinformatics workflows and molecular biology software (e.g., sequence analysis, alignment, primer and construct design)
  • Experience using AI tools such as Claude in a research setting - for literature review, protocol drafting, data interpretation, or experimental troubleshooting

This is a rare opportunity to help define how a frontier AI company does biology. You'll learn quickly, work closely with people who want to teach, and see your results feed directly into how the most capable AI models are evaluated and improved.