Bioinformatics Scientist, Translational Research

Ferring Pharmaceuticals, Inc.   •  

San Diego, CA

Industry: Pharmaceuticals & Biotech


5 - 7 years

Posted 61 days ago

This job is no longer available.

Job Description:

Ferring Pharmaceuticals is a globally recognized, research-driven, biopharmaceutical company with more than 65 years of history. Headquartered in Switzerland, Ferring is privately owned with over 5,700 employees in nearly 60 countries. In the United States, Ferring identifies, develops and markets innovative products in the fields of reproductive health (infertility), urology, gastroenterology, endocrinology, women’s health (obstetrics/gynecology) and orthopaedics. Ferring’s US operations employ approximately 800 people.

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 for peptide research. More than 70 people work at its state-of-the-art research facility located in the heart of the Southern California biopharmaceutical community.


Ferring Research Institute is seeking a bioinformatics scientist who is interested in applying computational and systems biology methods to characterize disease biology and drug mechanism of action, and identify novel biomarkers relevant to preclinical drug discovery programs relating to Ferring therapeutic areas (Uro-Oncology, Urology, GI/Hepatology and Reproductive Health). The position will report to the Head of Bioinformatics in the Translational Research group, and work collaboratively with cross-functional teams in in the R&D organization to design genomics experiments and analyze data from preclinical and clinical studies.


  • Independently execute bioinformatics analyses that support pre-clinical drug discovery activities including target identification and validation, disease model characterization, and biomarker hypothesis generation and testing
  • Collaborate with project teams to design genomic experiments, develop analysis approaches and independently execute bioinformatics analyses
  • Identify relevant internal and external data and knowledge resources and perform integrated data mining analyses
  • Document hypotheses, experimental design, analysis methods and results in a meticulous and compliant manner
  • Organize and present results concisely at regular team and cross-functional meetings


  • Expertise in the analysis of next-generation sequencing and microarray data
  • Expertise in R and/or Python, Linux shell environment and version control (Github) is required
  • Excellence in data visualization, coding, best practices and documentation
  • Sound knowledge of theoretical and applied statistics
  • Knowledge of current bioinformatics trends, public genomic tools, databases and utilities
  • Experience with open source and commercial pathway analysis software
  • Experience with metabolomics, microbiome and/or proteomics data is a plus
  • Bioinformatics expertise in cancer biology and/or liver disease is highly desirable


  • PhD in bioinformatics, computational biology, biostatistics, cancer genomics or related fields, or M.S. plus 5+ years relevant experience
  • At least 2+ years relevant experience of inter-disciplinary research, applying quantitative approaches to solve biological problems in academic or biotech/pharma preclinical research setting
  • Demonstrated ability to interrogate large biological data sets to address focused biological questions
  • Self-motivated and able to work independently or in a small team with minimal supervision, and to successfully navigate a highly-matrixed work environment.
  • Excellent communication and organizational skills