Bioinformatician - Biomarker and Assay Development

Omniox Inc.
San Carlos, California
May 01, 2018
Science/R&D, Research
Required Education
Position Type
Full time

Omniox, Inc. is an IND-stage biopharmaceutical company developing a proprietary protein platform to treat diseases where hypoxia and ischemia drive poor clinical outcomes, such as cancer, stroke, and critical care. Omniox has strong financial sponsorship from leading investors.

We are looking for a highly motivated Bioinformatician with relevant experience in biomarker identification and development in the areas of oncology, immunology or hypoxia to join the Biomarker and Assay Development Group. This team works with research and clinical teams to design biomarker and patient characterization strategies, to develop and implement clinical biomarker assays to deliver high quality biomarker, PK, immunogenicity and patient characterization data, and to support programs from research through late stage clinical development.

We seek candidates with extensive data analysis experience, and an ability to analyze data from multiple technology platforms for cell-, protein-, and nucleic acid-based assays, to lead bioinformatics data mining. This person will work with both internal groups and outside contract organizations to ensure timely generation of data, analysis and identification of biomarkers. The preferred candidate will have a strong background in bioinformatics, with experience in cancer biology and/or immunology to enable understanding of disease and drug mechanisms supporting biomarker identification and development. The focus will be analysis of human genetic and genomic data, combined with PCR- and protein-based data, and associated medical and clinical information, to uncover biomarkers for patient enrichment, mechanism of action, and indications for drug development.

Job title will be determined based on the level of experience.

As an Omniox team member, you will support our corporate values of:

  • Scientific and operational excellence
  • Respect
  • Open-mindedness and courage


  • Analyze various -omic-scale data, including RNA-Seq, exome and whole genome sequencing, high throughput PCR and proteomics, and multiplex flow cytometry, in order to nominate novel biomarkers to enable patient enrichment and pharmacodynamic/mechanism of action strategies. 
  • Integrate and mine large-scale internal and external (i.e., GEO, TCGA, 1KG, EXAC, Cosmic) data sets to further our understanding of hypoxia, immunology and cancer pathogenesis. 
  • Evaluate and analyze genomics data from pre-clinical studies and clinical trials to understand drug mechanisms and patient response. Extract insights and generate hypotheses to be evaluated in research studies and future trials. 
  • Collaborate with internal research and clinical groups to design experiments, generate data, and analyze datasets to identify biomarkers for patient selection, mechanism of action, and pharmacodynamics.
  • Interact with contract organizations to outsource generation and analysis of next generation sequencing data.
  • Design, execute and analyze bioinformatic development protocols.
  • Present bioinformatics data internally and externally.
  • Define and implement statistical/computational analysis plans.


  • Ph.D. in Bioinformatics, Computational Biology, Cancer genomics, or related areas.
  • 5+ years of experience, preferably in the biotechnology or pharmaceutical setting.
  • Experience with clinical biomarker candidate identification and track record of contributions to product development.
  • Excellent understanding of bioinformatics and experience with data from multiple technical platforms, including next generation sequencing, immunohistochemistry, flow cytometry, ELISA, PCR, Nanostring, and Luminex. Familiarity with NGS aligners, gene expression analysis, UCSC genome browser or IGV.
  • Working knowledge of commercial and publicly available biological databases. 
  • Deep understanding of statistical concepts, algorithms and data processing and visualization, with large scale data mining and data analysis.
  • Experience with scripting languages (e.g. perl, python, SQL) and mathematics tools (Matlab and/or R). 
  • Experience working with cloud-based computing platforms. 
  • Strong organizational skills, attention to detail, ability to work independently.
  • Excellent written and verbal communication skills and demonstrated ability to build relationships and act as liaison to other groups (such as biology, clinical, etc.).
  • Experience with outsourcing and contract research organization management is highly desirable.
  • Experience working with data from clinical trials is desirable.
  • Solid background in immuno-oncology or immunology is desirable. 

We offer competitive compensation, including base salary + bonus, stock options, health benefits and paid time off.

Please send your resume and cover letter to

Omniox is an equal opportunity employer. We will consider all qualified applicants without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.