Data Engineer

Location: San Diego, CA

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Job Title:

Data Engineer

Job Description:

Ferring Pharmaceuticals is a globally recognized, research-driven, biopharmaceutical company with 70 years of history. Headquartered in Switzerland, Ferring is privately owned with over 6000 employees in nearly 60 countries. Within Ferring, the Global Drug Discovery and External Innovation (GDDEI) organization has an aggressive growth agenda to drive scientific excellence and build an early pipeline. The research focus is to discover transformational medicine and advance most promising science, internal or external, in the fields of reproductive medicine & maternal health, uro-oncology, and GI/microbiome.

People Come First at Ferring. The Ferring Philosophy places people at the heart of what we do. This guides our relations with patients, physicians, employees, and other stakeholders. We invite you to share our passion for people and the power of science.

The Ferring Research Institute was established in San Diego, California in 1996 as the company’s center of excellence in research. More than 80 people work at its state-of-the-art research facility located in the heart of the Southern California biopharmaceutical community.


We are seeking a Data Engineer with broad experience in developing computational solutions to automate the analysis of Big Data, especially next generation sequencing (NGS) data, to join the Computational Biology and Data Sciences team. The data engineer drives the design and implementation of data, and tests novel methods for the integration and analysis of diverse datasets. This position will be part of a multidisciplinary team to develop pipeline and exploratory analyses of Big Data from multiple omics platforms to generate insights for target and biomarker discovery. This position is based on San Diego, and will work across functions (e.g., Computational Chemistry and IT) to provide data engineering solutions to meet the needs of the Global Drug Discovery and External Innovation organization.


  • Develop highly scalable and reliable data engineering solutions for processing, transporting, analyzing, and storing large-scale, high-dimension datasets, including transcriptomic, genomic, genetic, imaging, and unstructured data
  • Design, implement, test, and deploy data processing infrastructure
  • Create and drive standards for data capture, storage, and transformation
  • Design and develop software programs to optimize single cell NGS data (scRNA-seq and snRNAseq) processing pipelines, analysis algorithms, and visualization tools
  • Lead the development of a platform for on-demand target assessments, including pathways, bulk and single cell gene expression, human genetics, tissue profiles, and animal models
  • Provide cloud scientific computing (AWS) infrastructure and connectivity support to Bioinformatics, Computational Chemistry, Structural Biology, and Data Science groups


  • Master's degree in computational field (e.g., Bioinformatics, Computer Science, Biostatistics, Physics, Mathematics) with a minimum of 2 years of experience in analyzing omics data.
  • Proficient with Linux environment, high performance computing clusters, and cloud computing (particularly AWS)
  • Strong hands-on skills in at least two scripting/programming languages and web framework programming (Python, R, JavaScript)
  • Experience in Big Data analysis, code optimization & parallel programming. Proven experience with big data analysis technical and languages such as Spark, MongoDB, and/or Scala
  • In-depth understanding of existing bioinformatics databases and computational methods for bioinformatics data processing and analysis
  • Knowledge of version control systems such as Git
  • Strong organizational, teamwork, and communication, and good problem-solving skills

We are proud to be an Affirmative Action/EEO Employer. EOE Minorities/Females/Protected Veterans/Disabled

We maintain a drug-free workplace and perform pre-employment substance abuse testing.

If you need assistance during the application process due to a disability, please email


San Diego

*** Mention DataYoshi when applying ***

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