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Biomolecular Science Jobs in California (NOW HIRING)

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Data Scientist, Bioengineering

San Francisco, CA · On-site

$150 - $210/hr

To support this mission, we are building a cross-functional data-science group which sits at the intersection of computational modeling, neuroscience, and biomolecular engineering. This group ...

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Saint Louis University

$55K - $74K/yr

The successful candidate will lead project(s) focused on biomolecular dynamics within computational ... A doctoral degree in physical sciences, biochemistry, or computer science is required at the start ...

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Biomolecular Science information

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$24.2K

$47.8K

$78K

How much do biomolecular science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for biomolecular science in California is $47,757.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $51,300.00 per year, depending on experience, location, and employer.

What is a biomolecular science?

A Biomolecular Science job involves studying the structure, function, and interactions of biomolecules such as proteins, DNA, and enzymes. Professionals in this field work in biotechnology, pharmaceuticals, healthcare, and academic research to develop new treatments, diagnostics, and biotechnological applications. Roles may include laboratory research, drug development, genetic engineering, or bioinformatics. These jobs require expertise in molecular biology, chemistry, and data analysis to understand and manipulate biological systems for scientific and medical advancements.

What does a biomolecular scientist do?

A typical day in Biomolecular Science involves designing and conducting laboratory experiments, analyzing biological samples, and interpreting complex data related to molecular processes. You’ll often collaborate with other scientists, participate in research meetings, and document your findings in detailed lab notebooks or reports. The work environment is usually fast-paced and research-oriented, requiring adaptability as projects evolve. On many teams, you may also have opportunities to present results, contribute to scientific papers, and brainstorm innovative solutions to scientific challenges.

What are the key skills and qualifications needed to thrive in biomolecular science?

To excel in Biomolecular Science, individuals typically need a strong background in biology, chemistry, and molecular techniques, usually supported by a relevant bachelor's or advanced degree. Familiarity with laboratory instruments such as PCR machines, spectrophotometers, and experience using data analysis software like MATLAB or Python is often required, along with certifications in laboratory safety. Strong analytical thinking, attention to detail, and effective communication skills help differentiate outstanding professionals in this field. These competencies enable accurate experimentation, reliable data interpretation, and successful collaboration on research projects.

How much does a biomolecular scientist make?

The average salary for a biomolecular scientist typically ranges from $50,000 to $90,000 per year, depending on experience, education, and location. Entry-level positions may start lower, while those with advanced degrees or specialized skills can earn higher salaries, especially in research or industry settings.

Is biomolecular science a good degree?

Biomolecular science is a valuable degree for careers in research, healthcare, and biotechnology, often leading to roles such as laboratory technician, research scientist, or biotechnologist. It provides a strong foundation in biology, chemistry, and laboratory skills, which are essential for working in scientific environments and pursuing advanced education or certifications.

What can you do with a biomolecular science degree?

A biomolecular science degree prepares individuals for careers in research, healthcare, pharmaceuticals, biotechnology, and diagnostics. Graduates can work as laboratory technicians, research scientists, quality control analysts, or in regulatory roles, often utilizing skills in laboratory techniques, data analysis, and scientific communication.

What are the most commonly searched types of Biomolecular Science jobs in California?

The most popular types of Biomolecular Science jobs in California are:

What are popular job titles related to Biomolecular Science jobs in California?

For Biomolecular Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Biomolecular Science jobs in California look for?

The top searched job categories for Biomolecular Science jobs in California are:

What cities in California are hiring for Biomolecular Science jobs?

Cities in California with the most Biomolecular Science job openings:

Biomolecular Science jobs near you
Infographic showing various Biomolecular Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $47,757 per year, or $23 per hour.

Machine Learning Scientist, Pretraining

Profluent

Emeryville, CA • On-site, Remote

$200K - $330K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

Profluent is the frontier AI lab for biology. Profluent builds powerful foundation models for all of life's molecules, unlocking solutions that transform medicine, agriculture, and beyond. Founded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures and has raised over $150M to date.
The Role
We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into pretraining large-scale deep learning models for biomolecular design. This position offers an opportunity to work at the forefront of generative modeling research across language processing, representation learning, and protein engineering. You should be a self-directed researcher who has the ability to rapidly prototype and evaluate new models and algorithms in the biomolecular domain.
As an early employee, you will proactively shape the direction of our machine learning efforts and collaborate across diverse teams of computational and experimental scientists.
Responsibilities
  • Design and develop state-of-the-art autoregressive, diffusion and representation learning models for protein design
  • Collaborate across the machine learning and protein design teams to apply, adapt and improve pretraining techniques from other domains to biomolecular deep learning models
  • Architect, implement, and optimize core infrastructure to support the pretraining of protein language models
  • Curate relevant datasets and design tasks for rigorous evaluation of generative models
  • Implement, analyze, and interpret multiple computational approaches and present results to colleagues in regular update meetings
  • Work within a collaborative, fast-paced, interdisciplinary team across biology and machine learning to help shape the scientific and strategic vision of the company

Qualifications
  • PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field
  • Experience with conceiving of, implementing, and evaluating novel machine learning and pretraining large scale LLMs or other models in biomolecular domain
  • Publications at major machine learning conferences (NeurIPS, ICML, ICLR) or scientific journals (Nature, Science, Nature Biotech, Nature Methods, PNAS) or experience pre-training LLMs at frontier AI/ML labs
  • Experience with modern deep learning frameworks such as Pytorch or Jax

Preferences
  • Familiarity with foundational biology of proteins and nucleic acids
  • Experience developing machine learning models for proteins (language models, structure prediction, design)
  • Experience with cloud compute platforms (GCP, AWS, Azure, OCI)
  • Previous experience in data extraction and curation from bioinformatics data sources
  • Familiarity with wet lab experimental assays and associated limitations

What We Offer
  • High-growth opportunity with meaningful impact on the future of protein design
  • Competitive compensation package with equity participation
  • 401(k) with a strong employer match
  • Comprehensive benefits including health/dental/vision insurance
  • Generous PTO policy and commitment to work-life balance
  • Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.
Employment Eligibility Verification
Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.
Hiring Salary Range
$200,000-$330,000 USD

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