Bioinformatics Scientist / Engineer

Profluent Berkeley , CA 94705

Posted 3 weeks ago

At Profluent, data is our lifeline. Our generative models learn the blueprint of life by modeling large-scale evolutionary data. We are seeking a Bioinformatics Scientist / Engineer to perform genomic data mining to expand the known universe of biological sequences.

This is an excellent opportunity to shape the future of AI-driven protein design and to work cross-functionally with a diverse team of experts across machine learning, protein engineering, cell biology, and gene editing.

Responsibilities

  • Perform large-scale metagenome assembly across the NCBI Sequence Read Archive

  • Maintain and expand the world's largest database of protein sequences

  • Deploy cloud-based pipelines to process large-scale genomic datasets

  • Build cloud databases for scalable storage and fast retrieval of terabases of genomic data, including genomes, genes, proteins, and structures

  • Clearly document code and communicate outcomes to colleagues

Qualifications

  • BS, MS, or PhD in Bioinformatics, Genomics, Computer Science, or a related quantitative bioscience field

  • 3+ years of industry or postdoc experience

  • Experience working with Google Cloud Platform (GCP) or other cloud-based compute services (e.g. AWS)

  • Experience building cloud pipelines, pipelining tools (snakemake, nextflow), and containerized applications (docker)

  • Experience with highly parallelized cloud-based computing platforms (Batch or Kubernetes)

  • Experience with scalable databases (BigTable, BigQuery, Snowflake) and proficient in database programming (SQL)

  • Fluent in Python data analysis tools (numpy, pandas, Jupyter notebook, biopython)

  • Experience with Linux environments and version control (git)

  • Pays attention to detail, highly organized, and excels in a fast-paced work environment

Preferences (but not required)

  • Experience with bioinformatics sequence analysis and alignment tools

  • Experience working with next-generation sequencing data

  • Familiarity with public repositories like UniProt, EBI, JGI, NCBI, and SRA

  • Familiar with concepts in molecular biology, biochemistry, and structural biology

  • Biological knowledge about prokaryotic gene and genome structure

  • Publications in major scientific journals or conferences

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