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Life Science Research Assistant Jobs in San Ramon, CA

AccuScan Sciences

Research Associate

Milpitas, CA · On-site

You will assist in experimental design, data collection, and analysis while collaborating with ... Bachelor's degree in a life science or equivalent * One year of experience working in a lab setting

AccuScan Sciences

Research Associate

Milpitas, CA

You will assist in experimental design, data collection, and analysis while collaborating with ... Bachelor's degree in a life science or equivalent * One year of experience working in a lab setting

AccuScan Sciences

Research Associate

Milpitas, CA · On-site

You will assist in experimental design, data collection, and analysis while collaborating with ... Bachelor's degree in a life science or equivalent * One year of experience working in a lab setting

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All JobsLife Science Research JobsLife Science Research Assistant JobsLife Science Research Assistant Jobs in San Ramon, CA

Life Science Research Assistant information

What are the key skills and qualifications needed to thrive as a life science research assistant?

To thrive as a Life Science Research Assistant, you need a solid background in biology or related sciences, laboratory techniques, and often a bachelor's degree in a life science field. Familiarity with laboratory equipment, data analysis software (such as Excel or GraphPad Prism), and sometimes certifications in laboratory safety are commonly required. Attention to detail, strong organizational skills, and effective communication help ensure accuracy and collaboration within research teams. These skills and qualifications are crucial for producing reliable research results and supporting scientific discovery.

What are some common challenges faced by life science research assistants, and how can they be overcome?

Life Science Research Assistants often encounter challenges such as managing multiple experiments simultaneously, learning to use new laboratory technologies, and maintaining accurate records under time constraints. Adapting to rapidly changing project priorities and troubleshooting unexpected results are also common. Building strong organizational skills, staying proactive in learning new techniques, and maintaining open communication with supervising scientists and team members can help overcome these challenges and contribute to the success of research projects.

What is the difference between Life Science Research Assistant vs Laboratory Technician?

AspectLife Science Research AssistantLaboratory Technician
Required CredentialsBachelor's degree in biology, biochemistry, or related fieldAssociate's degree or certification in laboratory techniques
Work EnvironmentResearch labs, academic institutions, biotech companiesClinical, industrial, or research laboratories
Employer & Industry UsageUniversities, research institutes, biotech firmsHospitals, pharmaceutical companies, research facilities
Common Search & ComparisonYesYes

The main difference between a Life Science Research Assistant and a Laboratory Technician lies in their roles and qualifications. Research Assistants typically focus on experimental design, data analysis, and supporting research projects, often requiring a bachelor's degree. Laboratory Technicians usually handle routine lab procedures, maintenance, and sample processing, often with an associate's degree or certification. Both roles work in similar environments and are essential in advancing scientific research, but their responsibilities and educational requirements differ.

What is a life science research assistant?

Life Science Research Assistants are professionals who support scientists and researchers in conducting experiments, collecting data, and maintaining laboratory equipment in fields such as biology, biochemistry, and medicine. Their duties often include preparing samples, recording and analyzing experimental results, and ensuring laboratory compliance with safety standards. They play a vital role in helping research teams advance scientific knowledge and contribute to discoveries in health and life sciences.
What cities near San Ramon, CA are hiring for Life Science Research Assistant jobs? Cities near San Ramon, CA with the most Life Science Research Assistant job openings:
Life Science Research Assistant jobs near you
Infographic showing various Life Science Research Assistant job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Senior / Principal ML Scientist, Foundation Models for Life Sciences

Lila Sciences

San Francisco, CA • On-site

$268K - $384K/yr

Full-time

Medical, Dental, Vision, Life

Re-posted 14 days ago

Job description

Your Impact at LILA
Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Science AI (LSAI), the Foundation Models team researches and develops large-scale generative models and reasoning frameworks that power automated scientific discovery across Lila's life science domains.
We are seeking a Principal or Senior Principal Scientist to join this team as a core contributor. You will define and drive research at the intersection of state-of-the-art machine learning and life science data, spanning biological sequences, molecular structures, and multimodal experimental data. As part of a dynamic team, you will design and implement foundational models end to end, from problem formulation and architecture through training at scale, evaluation, and integration into Lila's closed-loop discovery engine.
This is a high-impact IC role for someone who operates at the frontier of generative AI applied to biology. You will shape the technical agenda for foundation model research, collaborate closely with experimental scientists to close the computational-experimental loop, and represent Lila's work to the broader scientific community.
What You'll Be Building
  • Drive research on foundation models for life science applications, including but not limited to biological sequence design, structure prediction, and multimodal scientific reasoning
  • Design, train, and evaluate large-scale generative models on biological and chemical data, integrating domain-specific constraints and priors
  • Contribute to the end-to-end ML process within Lila's "Lab-in-the-Loop" lifecycle: steer data generation strategy, build pipeline models, and design feedback loops where experimental results improve model performance
  • Translate complex biological questions into well-defined ML problems and interpret model outputs in collaboration with wet-lab scientists and computational biologists
  • Advance research standards and methodology within the foundation models program, contributing insights that influence approaches across adjacent teams
  • Represent Lila's foundation model research externally through publications at premier venues, conference presentations, and community engagement

What You'll Need to Succeed
  • PhD in Computer Science, Machine Learning, Computational Biology, or a related quantitative field
  • Multiple high-impact first-author or senior-author publications at premier venues (NeurIPS, ICML, ICLR, Nature Methods, Nature Biotechnology, or equivalent)
  • Deep expertise in large-scale generative model architectures and training, with hands-on experience training models on distributed infrastructure
  • Demonstrated ability to formulate and drive research programs independently, from problem definition through publication and deployment
  • Fluency across ML and at least one life science domain (molecular biology, genomics, protein engineering, nucleic acid design, or related), with experience designing computational experiments grounded in biological reality
  • Strong track record of cross-functional collaboration with experimental scientists, translating between ML and biology
  • Expertise in ML frameworks (PyTorch, JAX, or TensorFlow) and experience with large-scale distributed training infrastructure (AWS, GCP, or on-prem clusters)

Bonus Points For
  • Experience in computational protein design, particularly antibody and nanobody engineering
  • Experience designing biological sequences or molecular structures with demonstrated wet-lab validation
  • Contributions to open-source ML tools, frameworks, or benchmark datasets for scientific applications
  • Experience with agentic frameworks or active learning loops in scientific contexts
  • High-impact publications or open-source contributions in AI for Science in relevant venues (NeurIPS, ICML, ICLR, AAAAI, Nature Methods, Nature Biotechnology, or equivalent)

Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$268,000-$384,000 USD
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

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