Goldfinch Bio

Job Title: Bioinformatics Developer

Job Number: 21901

Location: Cambridge, MA

Job Description

Goldfinch Bio seeks a talented bioinformatics developer to play a central role in development of the Kidney Genome Atlas (KGA) and the biology platform, two key components of our product engine for discovering novel drug targets, biomarkers for patient stratification, and insights into mechanism of disease.  The KGA encompasses data derived from more than 20,000 multi-omic samples (genome sequences, longitudinal clinical data, transcriptomics, proteomics, metabolomics, epigenetic marks), with plans to grow to >100,000 samples.  The biology platform consists of iPSC-derived human kidney organoids and differentiated cells, podocytes.
This exciting position will play a pivotal role in designing and developing data processing and analysis pipelines, optimizing data storage and retrieval, and enabling analyses by computational biologists, statistical geneticists, biostatisticians, cell biologists, and translational scientists. A successful candidate will have significant experience developing pipelines to derive insights from high-dimensional data.


Job Responsibilities Include:

  • Migration of novel bioinformatic, statistical genetic and network analyses from development into production involving code refactorization and optimization
  • Evaluation and implementation of cutting-edge computing approaches in processing, storage, and analysis of high-dimensional data
  • Developing, testing, and scaling production pipelines in a cloud environment
  • Building the KGA knowledge base through curation of public and proprietary data from multiple sources and incorporating appropriate metadata
  • Other tasks as assigned

Required Skills


  • Bachelors, MS or Ph.D in Computer Science, Bioinformatics, Computational Biology, Physics, Engineering, or related field; or equivalent academic/industry experience.
  • Demonstrated ability to write clear, production-quality code (Python, Linux) in containerized frameworks (e.g. Nextflow, Snakemake, Luigi)
  • Experience with cloud computing services (e.g. AWS, GCP)
  • Experience with distributed data processing environments (e.g. Spark, Hadoop)
  • Knowledge of agile methodologies and devops best-practices
  • Proven ability to work independently and in a team environment
  • Excellent analytical and problem-solving skills
  • Excellent written and verbal communication skills
  • Strong drive with a desire to make an impact on kidney disease

Preferred Experience in addition to the above:

  • Experience processing high-dimensional clinical data and/or next-generation sequencing data a huge plus
  • Experience processing imaging data a plus
  • Knowledge of statistical/scientific languages (R, hail) a plus
  • Familiarity with machine learning a plus


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