Data Engineer - Biological Sequences & Structure

Medium Biosciences

Date listed

1 month ago

Employment Type

Full time



About you:

You have a strong quantitative background and data engineering experience, a growth mindset, and strong work ethic.

  • Strong grasp of mathematics and machine learning fundamental concepts
  • Proficient in database programming, SQL, Python, and frameworks such Pytorch, Tensorflow, Keras, JAX
  • Experience with data pipeline and workflow management tools (e.g. Apache Airflow, Luigi, Flyte, Snakemake, Nextflow, dbt) and data analysis
  • You have a growth mindset, are curious and a fast learner
  • You have good written, oral and visual communications skills in English
  • Fluency with Unix environments, GCP/AWS, and GitHub


  • 3+ years of industry experience
  • Experience with bioinformatics sequence analysis and alignment tools
  • Experience working with next-generation sequencing data and structure data
  • Strong background in Biology, Biochemistry, Bioinformatics, Structural Biology, Organic Chemistry, and/or Physical Chemistry.

About the role:

We are looking for candidates who are excited about the opportunity to join the founding team and play an expanding role in the company. Your responsibilities will include:

  • Curate datasets for from the literature for training and validation new architectures to predict and design protein-protein interactions
  • Build databases for scalable storage and fast retrieval of terabases of genomic data, including genomes, genes, proteins, and structures
  • Create and deploy data pipelines in the cloud for extracting, processing, storing, and serving large-scale datasets.
  • Clearly document code and results and communicate outcomes to colleagues
  • Work closely with software & ML researchers to build systems for efficient training and deployment of deep learning models.
  • In collaboration with our wet-lab, designing antibody structures and sequences for functional measurement in frequent design-build-test cycles

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