Summary
Novaflow is an AI data analyst for biology labs, aiming to streamline data analysis for researchers. The Computational Biology Intern will assist in building and improving bioinformatics pipelines, working directly with the founders on impactful projects.
Responsibilities
- 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
Skills
- 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
- 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)
Qualifications
Must Haves
- 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 Haves
- 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)
Benefits
- Meals covered when you're in the office (lunch daily, dinner when you're working late)