Novaflow

About Novaflow Novaflow is the AI data analyst for biology labs. Analytics is the bottleneck for scientific discovery. Biologists have to outsource analysis to expensive bioinformaticians or core services and wait weeks or months for results. We're solving this by putting analysis directly back into the hands of researchers, allowing them to go from raw data to publication-ready insights and visualizations in days instead of months. We're well-funded, growing extremely fast, and backed by leading investors including Y Combinator and BioRender. About the Role We're hiring a Computational Biology Intern to help build and improve the bioinformatics pipelines behind our platform. You'll work on real analysis workflows that process raw sequencing data for actual research labs, not toy projects. If the science is wrong, scientists notice. You'll care about getting it right. This is not a sit-in-the-corner internship. We're a small team and you'll work directly with the founders on real problems from day one. We're looking for someone with high agency who takes initiative and doesn't wait to be told what to do. This role can be remote or in-person at our San Francisco office. There is potential to convert to a full-time position based on performance. What You'll Work On Help build and maintain bioinformatics pipelines for genomics, transcriptomics, and other -omics data Write clean, reproducible analysis code in Python and/or R Assist with cloud infrastructure (AWS or GCP) for running 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 Help identify what researchers actually need and translate that into product decisions Requirements Currently pursuing or recently completed a Bachelor's or Master's in Computational Biology, Bioinformatics, Computer Science, or a related field Proficient in Python and/or R Familiarity with common bioinformatics file formats (FASTQ, BAM, VCF, etc.) Comfortable in Linux/Unix command-line environments Understanding of molecular biology fundamentals (genomics, gene expression, variant calling) Good communicator who can work across biology and engineering Nice to Have Experience with cloud platforms (AWS or GCP) Familiarity with workflow managers (Nextflow, Snakemake, or similar) Docker experience Exposure to LLMs or AI/ML tools Previous startup experience (prior experience either working for or founding a startup) Why Join Us? Competitive intern compensation Meals covered when you're in the office (lunch daily, dinner when you're working late) Opportunity to convert to a full-time founding team role Work directly with the founders with full visibility into product strategy, customer conversations, and fundraising Real responsibility from day one at a fast-growing YC company If you're curious about being a founder one day, this is your front-row seat.

About Novaflow Novaflow is the AI data analyst for biology labs. Analytics is the bottleneck for scientific discovery. Biologists have to outsource analysis to expensive bioinformaticians or core services and wait weeks or months for results. We're solving this by putting analysis directly back into the hands of researchers, allowing them to go from raw data to publication-ready insights and visualizations in days instead of months. We're well-funded, growing extremely fast, and backed by leading investors including Y Combinator and BioRender. About the Role We're hiring a Founding Backend Engineer to build the infrastructure and services that make the whole platform work. APIs, cloud infrastructure, databases, data pipelines for moving large genomics datasets through the system. You'll make the architecture decisions that determine how this thing scales. This is a high-agency, high-ownership role. You'll work directly with the founders on system design and have a major say in how we build our engineering team and processes. Biology background is not required. You just need to be a strong engineer who can build reliable systems. This role is in-person at our San Francisco office. The founding team works side by side every day to make fast decisions and ship. What You'll Work On Build and maintain APIs and backend services in Python, Go, or similar Set up and manage cloud infrastructure on AWS or GCP Work with SQL and NoSQL databases, optimize queries, design data models Build data pipelines and integrations with third-party services Manage data infrastructure (storage, compute) for large-scale workloads Set up CI/CD pipelines, monitoring, and observability Help build the engineering team and establish how we work Requirements Bachelor's or Master's in Computer Science, Engineering, or related field (or equivalent experience) 2+ years building and running backend services in production Strong with cloud platforms, Terraform, Docker, and Kubernetes Deep SQL knowledge and data modeling experience Proficient in Python and Node.js for APIs and services Experience with microservices, service-to-service communication, and API design Familiar with CI/CD, monitoring, and keeping production systems healthy Good communicator who can explain technical decisions clearly Nice to Have Experience with computational biology or scientific computing workloads Go experience Experience with event-driven architectures or message queues (Kafka, RabbitMQ, SQS) Startup background Previous startup experience (prior experience either working for or founding a startup) Why Join Us? Competitive salary and meaningful equity as a founding team member 401(k) with company match Unlimited PTO + federal holidays Monthly health and wellness stipend Meals covered when you're in the office (lunch daily, dinner when you're working late) Team offsites and company events If you're curious about being a founder one day, this is your front-row seat. You'll work side by side with the founders and have full visibility into product strategy, customer conversations, and fundraising as we scale.

About Novaflow Novaflow is the AI data analyst for biology labs. Analytics is the bottleneck for scientific discovery. Biologists have to outsource analysis to expensive bioinformaticians or core services and wait weeks or months for results. We're solving this by putting analysis directly back into the hands of researchers, allowing them to go from raw data to publication-ready insights and visualizations in days instead of months. We're well-funded, growing extremely fast, and backed by leading investors including Y Combinator and BioRender. About the Role We're hiring a Founding Bioinformatics Engineer to own the analysis pipelines behind our platform. You'll build the workflows that take raw sequencing data and turn it into something a biologist can actually use, make sure the science is right, and figure out how to do all of it at scale on cloud infrastructure. This is a high-agency, high-ownership role. You'll work directly with the founders, have real input on what we build and how we build it, and be expected to drive things forward on your own. This role is in-person at our San Francisco office. The founding team works side by side every day to make fast decisions and ship. What You'll Work On 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 Requirements 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 Nice to Have 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) Why Join Us? Competitive salary and meaningful equity as a founding team member 401(k) with company match Unlimited PTO + federal holidays Monthly health and wellness stipend Meals covered when you're in the office (lunch daily, dinner when you're working late) Team offsites and company events If you're curious about being a founder one day, this is your front-row seat. You'll work side by side with the founders and have full visibility into product strategy, customer conversations, and fundraising as we scale.

About Novaflow Novaflow is the AI data analyst for biology labs. Analytics is the bottleneck for scientific discovery. Biologists have to outsource analysis to expensive bioinformaticians or core services and wait weeks or months for results. We're solving this by putting analysis directly back into the hands of researchers, allowing them to go from raw data to publication-ready insights and visualizations in days instead of months. We're well-funded, growing extremely fast, and backed by leading investors including Y Combinator and BioRender. About the Role We're hiring a Founding Machine Learning Engineer to build the AI systems that power our platform. The core challenge: take a natural language query from a biologist and turn it into a correct, reliable bioinformatics workflow. That means working with LLMs, building evaluation systems to know when outputs are good (and when they're not), and shipping models that real scientists depend on every day. This is a high-agency, high-ownership role. You'll work directly with the founders and have real say in our AI strategy. Biology background is not required. What matters is that you're a strong ML engineer who ships. This role is in-person at our San Francisco office. The founding team works side by side every day to make fast decisions and ship. What You'll Work On Build and improve the LLM-powered pipelines that turn natural language into bioinformatics workflows Design evaluation pipelines and benchmarks to measure model quality against real scientific expectations Experiment with fine-tuning, RAG, prompt engineering, and different model architectures Deploy and scale models in production on AWS or GCP Make build-vs-buy decisions on AI tooling and infrastructure Work across the team to integrate ML capabilities into the product Requirements Bachelor's or Master's in Computer Science, Machine Learning, AI, or a related field (PhD is a plus) 2+ years building and deploying ML models in production Strong Python skills and hands-on experience with PyTorch, TensorFlow, or similar Real experience with LLMs: fine-tuning, RAG, prompt engineering, evals Experience working with large datasets and building data pipelines Familiar with AWS or GCP for model training and deployment Docker and CI/CD experience for ML workflows Can spot when an LLM is confidently wrong Nice to Have Experience applying ML to scientific or biological data Familiarity with Anthropic, OpenAI, or other LLM APIs and agent frameworks Terraform and Kubernetes experience Startup background or experience in research-oriented engineering Previous startup experience (prior experience either working for or founding a startup) Why Join Us? Competitive salary and meaningful equity as a founding team member 401(k) with company match Unlimited PTO + federal holidays Monthly health and wellness stipend Meals covered when you're in the office (lunch daily, dinner when you're working late) Team offsites and company events If you're curious about being a founder one day, this is your front-row seat. You'll work side by side with the founders and have full visibility into product strategy, customer conversations, and fundraising as we scale.

About Novaflow Novaflow is the AI data analyst for biology labs. Analytics is the bottleneck for scientific discovery. Biologists have to outsource analysis to expensive bioinformaticians or core services and wait weeks or months for results. We're solving this by putting analysis directly back into the hands of researchers, allowing them to go from raw data to publication-ready insights and visualizations in days instead of months. We're well-funded, growing extremely fast, and backed by leading investors including Y Combinator and BioRender. About the Role We're hiring growth interns to help build and scale the outbound engine that drives our go-to-market. You'll research target accounts, write outreach campaigns, build signal-driven lead lists, and help engineer a repeatable sales motion from scratch. The pipeline you build will directly translate into revenue. This is not a sit-in-the-corner internship. We're a small team and you'll work directly with the founders on real problems from day one. We're looking for someone with high agency who takes initiative and doesn't wait to be told what to do. Biology background is not required. This role can be remote or in-person at our San Francisco office. There is potential to convert to a full-time position based on performance. What You'll Work On Research target accounts, identify key decision-makers, and build high-quality prospect lists Write and execute multi-channel outbound campaigns across email, LinkedIn, and events Help build and iterate on our repeatable go-to-market playbook Develop sales collateral, one-pagers, and demo materials for different customer segments Track and analyze campaign performance and iterate on messaging weekly Help build and maintain our CRM and outreach infrastructure Support partnership and BD conversations across biotech and pharma Requirements Currently pursuing or recently completed a Bachelor's or Master's in business, marketing, life sciences, or a related field Strong writing skills. You can draft a compelling cold email that doesn't sound like it was written by a chatbot Comfortable with ambiguity and biased toward action; you'd rather send an imperfect email today than a perfect one next week Organized and detail-oriented, especially when managing lists, outreach sequences, and follow-ups Genuine curiosity about science, biotech, or healthcare. You don't need a biology degree, but you should be excited to learn the language Good communicator who can explain their thinking clearly Nice to Have Prior experience in B2B sales, SDR/BDR roles, or startup growth Familiarity with outreach and data tools (Apollo, Clay, Instantly, HubSpot, Phantom, Zapier) or CRM systems Background in life sciences, pre-med, or experience working in a research lab Experience at or connections to top research institutions or academic medical centers Previous startup experience (prior experience either working for or founding a startup) Why Join Us? Competitive intern compensation Meals covered when you're in the office (lunch daily, dinner when you're working late) Opportunity to convert to a full-time founding team role Work directly with the founders with full visibility into product strategy, customer conversations, and fundraising Real responsibility from day one at a fast-growing YC company If you're curious about being a founder one day, this is your front-row seat

About Novaflow Novaflow is the AI data analyst for biology labs. Analytics is the bottleneck for scientific discovery. Biologists have to outsource analysis to expensive bioinformaticians or core services and wait weeks or months for results. We're solving this by putting analysis directly back into the hands of researchers, allowing them to go from raw data to publication-ready insights and visualizations in days instead of months. We're well-funded, growing extremely fast, and backed by leading investors including Y Combinator and BioRender. About the Role We're hiring a Machine Learning Engineer Intern to help build the AI systems that power our platform. The core challenge: take a natural language query from a biologist and turn it into a correct, reliable bioinformatics workflow. You'll work with LLMs, experiment with prompt engineering and fine-tuning, and help build evaluation systems to measure when the outputs are actually good. This is not a sit-in-the-corner internship. We're a small team and you'll work directly with the founders on real problems from day one. We're looking for someone with high agency who takes initiative and doesn't wait to be told what to do. Biology background is not required. This role can be remote or in-person at our San Francisco office. There is potential to convert to a full-time position based on performance. What You'll Work On Help build and improve LLM-powered pipelines that turn natural language into bioinformatics workflows Assist with evaluation pipelines and benchmarks to measure model quality Experiment with fine-tuning, RAG, prompt engineering, and different model architectures Help deploy and scale models in production on AWS or GCP Contribute to AI tooling and infrastructure decisions Work across the team to integrate ML capabilities into the product Requirements Currently pursuing or recently completed a Bachelor's or Master's in Computer Science, Machine Learning, AI, or a related field Strong Python skills Familiarity with ML frameworks (PyTorch, TensorFlow, or similar) Basic understanding of LLMs and modern AI techniques (fine-tuning, RAG, prompt engineering) Some experience working with datasets and building data pipelines Can think critically about when an LLM output is actually correct Nice to Have Hands-on experience building LLM-powered applications Familiarity with Anthropic, OpenAI, or other LLM APIs Experience with Docker and cloud platforms (AWS or GCP) Exposure to scientific or biological data Previous startup experience (prior experience either working for or founding a startup) Why Join Us? Competitive intern compensation Meals covered when you're in the office (lunch daily, dinner when you're working late) Opportunity to convert to a full-time founding team role Work directly with the founders with full visibility into product strategy, customer conversations, and fundraising Real responsibility from day one at a fast-growing YC company If you're curious about being a founder one day, this is your front-row seat.

About Novaflow Novaflow is the AI data analyst for biology labs. Analytics is the bottleneck for scientific discovery. Biologists have to outsource analysis to expensive bioinformaticians or core services and wait weeks or months for results. We're solving this by putting analysis directly back into the hands of researchers, allowing them to go from raw data to publication-ready insights and visualizations in days instead of months. We're well-funded, growing extremely fast, and backed by leading investors including Y Combinator and BioRender. About the Role We're hiring a Software Engineer Intern to help build the backend infrastructure and services that power our platform. You'll work on APIs, cloud infrastructure, databases, and data pipelines that move real genomics data through the system. The code you write will ship to production and be used by scientists. This is not a sit-in-the-corner internship. We're a small team and you'll work directly with the founders on real problems from day one. We're looking for someone with high agency who takes initiative and doesn't wait to be told what to do. Biology background is not required. This role can be remote or in-person at our San Francisco office. There is potential to convert to a full-time position based on performance. What You'll Work On Help build and maintain APIs and backend services in Python, Go, or similar Assist with cloud infrastructure setup and management on AWS or GCP Work with SQL and NoSQL databases, optimize queries, and help design data models Build data pipelines and integrations with third-party services Contribute to CI/CD pipelines, monitoring, and observability Help improve engineering processes and tooling Requirements Currently pursuing or recently completed a Bachelor's or Master's in Computer Science, Engineering, or a related field Proficient in Python; familiarity with Node.js is a plus Comfortable with SQL databases Some experience with cloud platforms (AWS or GCP) or willingness to learn quickly Familiar with Git and basic software development practices Good communicator who can explain technical decisions clearly Nice to Have Experience with Docker and containerization Familiarity with Terraform or infrastructure-as-code Experience with microservices or API design Exposure to Kubernetes Previous startup experience (prior experience either working for or founding a startup) Why Join Us? Competitive intern compensation Meals covered when you're in the office (lunch daily, dinner when you're working late) Opportunity to convert to a full-time founding team role Work directly with the founders with full visibility into product strategy, customer conversations, and fundraising Real responsibility from day one at a fast-growing YC company If you're curious about being a founder one day, this is your front-row seat.