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Life Science Startup Jobs in California (NOW HIRING)

Pluses: IaC (Terraform/Pulumi), React, knowledge of life sciences regulatory requirements ... Very comfortable working in a fast-paced and intense startup environment Willing to work in-person ...

... and life science research markets. Your work won't sit on a shelf; it'll ship to labs that depend ... You'll have the freedom to lead projects and make technical decisions in a startup-speed ...

Director, Market Development

San Jose, CA · On-site

$151K - $251K/yr

We know what it takes to be a key partner in the life science and medical device industries. Since ... startup incubators, and engineering social events * Commercial Leadership: Manage and drive the ...

... growth startup or as an early engineer. Company : 10x Science develops frontier AI models with deep memory to redefine how scientists understand and engineer biology across the life sciences ...

Showing results 41-60

Life Science Startup information

What are the key skills and qualifications needed to thrive in a life science startup?

To thrive at a Life Science Startup, you need a strong background in biological sciences, biotechnology, or a related field, often supported by an advanced degree or relevant experience. Technical expertise in laboratory techniques, data analysis software, and regulatory compliance systems is commonly required. Initiative, adaptability, strong problem-solving skills, and the ability to communicate ideas clearly are key soft skills in this setting. These competencies are crucial for navigating the fast-paced, multidisciplinary nature of startups, driving innovation, and translating scientific discoveries into viable products.

What is a life science startup?

A Life Science Startup job involves working at an early-stage company focused on biotechnology, pharmaceuticals, medical devices, or healthcare innovations. Employees in these roles may work in research, product development, regulatory affairs, or business operations. Startups often require a mix of scientific expertise and entrepreneurial mindset, with employees taking on diverse responsibilities. These jobs can be fast-paced and dynamic, offering opportunities for innovation and rapid career growth.

What are some typical challenges of working at a life science startup, and how can I prepare for them?

Working at a life science startup often involves navigating rapid changes, limited resources, and shifting priorities as the company grows and pivots. Team members are usually expected to wear multiple hats, balancing scientific research with project management, regulatory tasks, or business development activities. To succeed, it's important to be comfortable with uncertainty, proactive in problem-solving, and open to learning new skills outside your core area of expertise. Bringing a collaborative mindset and willingness to adapt will help you thrive and contribute meaningfully to the startup’s mission and success.

What are popular job titles related to Life Science Startup jobs in California? For Life Science Startup jobs in California, the most frequently searched job titles are:
What job categories do people searching Life Science Startup jobs in California look for? The top searched job categories for Life Science Startup jobs in California are:
What cities in California are hiring for Life Science Startup jobs? Cities in California with the most Life Science Startup job openings:
Infographic showing various Life Science Startup job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution.

Founding Bioinformatics Engineer

Novaflow (YC S25)

San Francisco, CA • On-site

Full-time

Re-posted 20 days ago


Job description

Job Summary:
Novaflow is an AI data analyst for biology labs, aiming to streamline the analysis process for researchers. They are seeking a Founding Bioinformatics Engineer to build and maintain bioinformatics pipelines, ensuring the analysis is accurate and scalable on cloud infrastructure.
Responsibilities:
• Build and maintain bioinformatics pipelines for genomics, transcriptomics, and other -omics data
• Write clean, reproducible analysis code in Python and/or R
• Set up and manage cloud infrastructure (AWS or GCP) for large-scale compute workloads
• Integrate existing bioinformatics tools, databases, and data sources into the platform
• Validate pipeline outputs against published methodologies and real scientific standards
• Work with academic labs, tool providers, and data partners to expand what the platform can do
• Help decide what we build next based on what researchers actually need
Qualifications:
Required:
• Bachelor's or Master's in Computational Biology, Bioinformatics, Biomedical Engineering, or a related field (PhD is a plus)
• 2+ years building bioinformatics pipelines or computational biology workflows
• Strong in Python and/or R
• Know your way around bioinformatics file formats (FASTQ, BAM, VCF, HDF5, etc.)
• Experience running workloads on AWS or GCP
• Comfortable in Linux/Unix command-line environments
• Solid understanding of molecular biology (genomics, gene expression, variant calling)
• Good communicator who can work across biology and engineering
Preferred:
• Experience with Nextflow, Snakemake, or similar workflow managers
• Docker experience
• Familiarity with LLMs or AI/ML tools
• Experience across multiple biomedical domains
• Startup or biotech/pharma background
• Previous startup experience (prior experience either working for or founding a startup)
Company:
Creating tools to automate data analysis for life science researchers. Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 2-10 employees. The company is currently Early Stage.