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Bs In Biology information

What can I do with a BS in Biology?

A Bachelor of Science (BS) in Biology opens doors to various career paths in healthcare, research, education, and biotechnology. Graduates can work as lab technicians, research assistants, or in environmental conservation, and may also pursue advanced degrees for careers in medicine, dentistry, or veterinary science. Additionally, some biology graduates find roles in pharmaceutical sales, quality control, or science communication. The degree provides a solid foundation in biological principles, laboratory skills, and scientific thinking, which are valuable in many science-related industries.

What types of entry-level positions are commonly available to candidates with a BS in Biology, and how can I stand out when applying?

With a BS in Biology, candidates often find entry-level roles such as laboratory technician, research assistant, quality control analyst, or environmental technician. To stand out, highlight any hands-on lab experience, internships, or coursework involving data analysis and scientific writing. Tailoring your resume to emphasize relevant technical skills and showcasing your ability to work both independently and within a team can make a strong impression. Networking with professionals in your desired field and seeking out informational interviews can also improve your chances of landing your first role.

What are the key skills and qualifications needed to thrive as a biologist, and why are they important?

To thrive as a Biologist, you need a solid background in biological sciences, research methods, and data analysis, typically supported by a BS in Biology or a related field. Familiarity with laboratory equipment, statistical software (such as SPSS or R), and possibly certifications in specialized techniques are often required. Strong observational skills, critical thinking, and effective communication help biologists excel in research and collaboration. These skills are crucial for producing accurate scientific findings, contributing to innovation, and working effectively within multidisciplinary teams.

What is the difference between Bs In Biology vs Biological Technician?

AspectBs In BiologyBiological Technician
Required CredentialsBachelor's degree in Biology or related fieldAssociate's or Bachelor's degree in Biology or related field
Work EnvironmentResearch labs, educational institutions, healthcareLaboratories, research facilities, field sites
Industry UsageAcademic, research, healthcare, environmentalResearch, biotech, environmental agencies

Bs In Biology provides a broad foundation in biological sciences, preparing graduates for diverse roles in research, education, and healthcare. Biological Technicians typically support research projects in labs or field settings, often requiring specific technical skills. While both roles involve biological knowledge, Bs In Biology offers more theoretical training, whereas Biological Technicians focus on practical, technical tasks.

Is a BS in biology worth it?

A BS in biology provides foundational knowledge for careers in research, healthcare, education, and environmental fields. It can lead to entry-level positions or serve as a stepping stone to advanced degrees and certifications, increasing job opportunities and earning potential.

What are popular job titles related to Bs In Biology jobs in Santa Rosa, CA?

For Bs In Biology jobs in Santa Rosa, CA, the most frequently searched job titles are:

What job categories do people searching Bs In Biology jobs in Santa Rosa, CA look for?

The top searched job categories for Bs In Biology jobs in Santa Rosa, CA are:

What cities near Santa Rosa, CA are hiring for Bs In Biology jobs?

Cities near Santa Rosa, CA with the most Bs In Biology job openings:

Bs In Biology jobs near you
Infographic showing various Bs In Biology job openings in Santa Rosa, CA as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 6% Hybrid, and 8% Remote job distribution.

Data Scientist / AI Scientist - AI for Aging Research - Zhou lab

Buck Institute

Novato, CA • On-site

$80K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description

Position Summary
The Buck Institute for Research on Aging is seeking a Data Scientist / AI Scientist to support a research program focused on the fundamental biology of aging through the development and application of advanced artificial intelligence approaches. This role will contribute to efforts that use imaging, quantitative analysis, foundation models, and modern AI to better understand the biological mechanisms of aging and identify new ways to measure, predict, and potentially intervene in those processes.
The successful candidate will join a highly collaborative, multidisciplinary team that brings together expertise in biology, biophysics, computer science, artificial intelligence, and other quantitative disciplines. This individual will help develop new computational methods, analyze complex imaging datasets, and work closely with experimental and computational researchers to generate insights from large-scale biological data.
This position is 100% on site.
About the Zhou Lab
Our team is intentionally multidisciplinary, bringing together researchers from biology, biophysics, computer science, AI, and other quantitative fields. We see this cross-disciplinary environment as a significant strength, creating opportunities for shared learning, creative problem-solving, and innovation that would be less likely to emerge within a single field alone.
Candidates from pure computational science backgrounds (with or without prior experience in bioinformatics) are encouraged to apply. Our lab has the experience of training CS background students to work on biological questions, as our dataset is either images or texts. Prior experience in biological or biomedical imaging is helpful but not required for candidates with strong technical expertise and a genuine interest in applying frontier AI methods to major biological questions.
Recent example of our work:
The Spatiotemporal Proteome Landscape of Aging: Structural determinants of Age-Sensitive Proteome Remodeling (bioRxiv, 2026).
Responsibilities
  • Develop and apply advanced AI and machine learning methods to research questions in aging biology.
  • Design, build, and optimize computational approaches for large-scale image and biological data analysis.
  • Build and apply models in areas such as computer vision, image recognition, segmentation, deep learning, generative AI, diffusion models, and multimodal or foundation-model approaches.
  • Analyze complex imaging datasets and extract biologically meaningful patterns and insights.
  • Collaborate closely with experimental and computational researchers to integrate AI methods with biological research.
  • Contribute to the design of new research directions at the intersection of AI, imaging, and aging biology.
  • Contribute to a collaborative and intellectually engaged research environment.
Required Qualifications
  • BS, MS, or PhD in computer science, data science, artificial intelligence, computational biology, bioengineering, applied mathematics, physics, or a related quantitative field
  • Strong experience in one or more of the following areas:
    • Computer vision
    • Image recognition and segmentation
    • Deep learning
    • Generative AI
    • Diffusion models
    • Multimodal or foundation-model approaches
  • Demonstrated experience developing computational methods and analyzing complex datasets
  • Strong quantitative, analytical, and programming skills
  • Ability to work independently and collaboratively in a multidisciplinary research setting
  • Strong verbal and written communication skills
Preferred Qualifications
  • Experience with biological, biomedical, or microscopy imaging data
  • Experience working in interdisciplinary research environments
  • Interest in applying cutting-edge AI approaches to fundamental questions in biology and aging.
  • Publication record, open-source contributions, relevant research, project, or code portfolio
Compensation & Benefits  
  • $80,000 to $130,000 depending on skills and experience
  • Comprehensive benefits including medical/dental/vision coverage, paid time off, paid parental leave, 401(k) employer contribution, and a student debt repayment option.
About the Buck
The Buck Institute for Research on Aging is the first independent biomedical research institute in the United States devoted solely to research on aging. Located in Novato, California, the Buck brings together scientists across multiple disciplines to study the mechanisms of aging and age-related disease, to help people live better, longer.
The Buck Institute is an equal opportunity employer. We strongly encourage applications from candidates whose experiences and perspectives will contribute to the diversity and excellence of our community.
To Apply
Please submit:
  • a curriculum vitae or resume,
  • a brief statement of interest, and
  • any relevant publications, projects, or code.

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