1

Biologist Graduate Jobs in Berkeley, CA (NOW HIRING)

Biologist

Sausalito, CA ยท On-site

$93K/yr

You will serve as a Biologist, GS- 0401-11 working in San Francisco, California for the Department ... To calculate your qualifications, divide your total qualifying graduate semester hours in excess of ...

Our office is executing cutting-edge projects for Cell & Gene Therapy, Biologics, and Pharma ... The Graduate Electrical Engineer will be mentored by the senior level Electrical Engineering team ...

Our office is executing cutting-edge projects for Cell & Gene Therapy, Biologics, and Pharma ... The Graduate Electrical Engineer will be mentored by the senior level Electrical Engineering team ...

next page

Showing results 1-20

Biologist Graduate information

See Berkeley, CA salary details

$45.3K

$109.5K

$169K

How much do biologist graduate jobs pay per year?

As of Aug 27, 2026, the average yearly pay for biologist graduate in Berkeley, CA is $109,469.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,900.00 and $148,200.00 per year, depending on experience, location, and employer.

What is a biologist graduate?

A Biologist Graduate job is an entry-level position for individuals with a degree in biology or a related field. It typically involves assisting in research, conducting experiments, analyzing data, and preparing reports. Graduates may work in laboratories, environmental agencies, healthcare, or biotechnology firms. The role helps develop practical skills and experience needed for specialized careers or further education. Responsibilities vary depending on the industry and employer.

What skills and qualifications are needed to thrive as a biologist graduate?

To thrive as a Biologist Graduate, you need a solid grounding in biological sciences, research methodologies, and data analysis, typically backed by a degree in biology or a related field. Familiarity with laboratory equipment, statistical software (such as SPSS or R), and fieldwork techniques is often expected. Attention to detail, strong problem-solving skills, and effective teamwork are valuable soft skills in this position. These competencies are essential for accurate research, successful collaboration, and growth in scientific or applied biology careers.

What kinds of projects or research tasks do biologist graduates commonly work on during their early career?

Biologist Graduates typically assist with data collection, laboratory experiments, and field studies under the supervision of more experienced researchers. They may be involved in tasks such as analyzing samples, maintaining lab equipment, documenting results, and contributing to research reports or presentations. Most positions also offer the chance to participate in collaborative projects with multidisciplinary teams, giving graduates exposure to various scientific methods and real-world applications. This hands-on experience helps build a strong foundation for career advancement in research, environmental monitoring, healthcare, or biotechnology.

What are 20 careers in biology?

Biology graduates can pursue careers such as research scientist, wildlife biologist, microbiologist, environmental consultant, laboratory technician, conservation officer, science educator, pharmaceutical sales representative, biotechnologist, forensic scientist, marine biologist, genetic counselor, healthcare scientist, plant scientist, zoologist, epidemiologist, science writer, quality control analyst, bioinformatics specialist, and regulatory affairs associate. These roles often require strong analytical skills, laboratory work, and knowledge of biological concepts, with some positions needing advanced degrees or certifications.

What can you do with a biologist graduate degree?

A biologist graduate degree qualifies individuals for roles such as research scientist, laboratory technician, environmental consultant, or wildlife biologist. These positions often require skills in data analysis, laboratory techniques, and knowledge of biological systems, and may involve working in labs, fieldwork, or environmental assessment settings.

What jobs can you get after a biology degree?

A biology graduate can pursue careers such as research scientist, laboratory technician, environmental consultant, or biological technician. These roles often require knowledge of lab techniques, data analysis, and sometimes additional certifications or advanced degrees.

What jobs do biology graduates get?

Biology graduates can pursue careers such as research scientists, laboratory technicians, environmental consultants, wildlife biologists, and healthcare professionals. These roles often require knowledge of scientific methods, laboratory skills, and sometimes additional certifications or advanced degrees.

What are popular job titles related to Biologist Graduate jobs in Berkeley, CA?

For Biologist Graduate jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Biologist Graduate jobs in Berkeley, CA look for?

The top searched job categories for Biologist Graduate jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Biologist Graduate jobs?

Cities near Berkeley, CA with the most Biologist Graduate job openings:

Infographic showing various Biologist Graduate job openings in Berkeley, CA as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $109,469 per year, or $52.6 per hour.

Junior Computational Biologist (Remote)

Astrix Inc

South San Francisco, CA โ€ข On-site, Remote

$30 - $34/hr

Full-time

Re-posted 15 days ago


Job description

Pay Rate Low: 30 | Pay Rate High: 34
A leading biotechnology research organization is seeking a Junior Computational Biologist to support efforts in refining how cellular states are quantified and validated!
Title: Jr. Computational Biologist (Remote Contract)
Location: Remote (Must be available during PST business hours)
Compensation: $30-34/hour + benefits
Contract Duration: 6-12+ months
Job Duties:
This project will focus on benchmarking functional scoring methodologies and improving interpretability of high-dimensional transcriptomic datasets.
The selected candidate will contribute to distinguishing true biological signal from technical variation in large-scale single-cell atlases, directly enhancing the reliability of automated cell-state classification frameworks.
Start Date: July 1, 2026
  • Duration: Through December 18, 2026
  • Commitment: Full-time (100%)
  • Ideal Candidate: Upcoming June 2026 PhD graduate or recent PhD graduate
  • Location: Onsite in South San Francisco, CA preferred; remote within the U.S. considered (must work PST hours)
  • Visa Sponsorship: Not availabl

Key Responsibilities
  • Systematically evaluate and benchmark computational approaches for quantifying phenotype activation across single-cell transcriptomic datasets.
  • Establish rigorous statistical baselines and negative-control frameworks to improve the robustness of automated cell-state classification methods.
  • Develop or refine computational methods to address limitations in current approaches.
  • Design strategies to distinguish genuine biological signatures from stochastic or technical noise.
  • Present findings in internal scientific reviews and contribute to potential conference abstracts or peer-reviewed publications.

Required Qualifications
  • Extensive hands-on experience in single-cell data analysis using Scanpy, AnnData, and Pandas.
  • Strong proficiency implementing statistical and machine learning models using scikit-learn and SciPy.
  • Demonstrated commitment to reproducible research practices and well-organized code.
  • Ability to clearly communicate complex computational concepts to interdisciplinary scientific teams.
  • Master's degree with ongoing PhD pursuit, or recent PhD graduate, in Computational Biology, Computer Science, Machine Learning, or related quantitative discipline.
  • Interest in drug discovery and comfort working in dynamic, research-driven environments.

Preferred Qualifications
  • Background knowledge in cell biology and/or immunology.
  • Experience with hypothesis testing, noise modeling, and benchmarking computational tools.
  • Familiarity with Explainable AI (XAI) approaches or large-scale biological datasets.
  • Demonstrated ability to build or extend novel bioinformatics pipelines.
    INDBH
    #LI-MG1