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Principal Scientist, Bioinformatics

Palo Alto, CA - Research
Endpoint Health is growing and we are looking for a Bioinformatician Principal Scientist to join our team. The Principal Scientist Bioinformatician will support research and development teams in biomarker discovery, testing, validation, and product development efforts.

Company Information:

Endpoint Health is an early-stage precision care company backed by top-tier Silicon Valley investors and founded by experienced entrepreneurs who previously founded and successfully exited a venture-backed healthcare company. Our mission is to use data to transform how we care for the sickest and most expensive hospital patients. Our work spans electronic health record-based machine-learned models, biomarkers, in vitro diagnostics, and therapeutics, and is poised to dramatically improve outcomes in a market larger than diabetes and oncology combined. With a quickly growing business, proven leadership team, and strong venture-backing, Endpoint Health is positioned to transform healthcare for patients with the greatest needs.
  • Strong experience in analyzing biomarker data to draw biological and clinical insights.
  • Knowledge of the impact of sample processing on data quality such as biological sample handling, transportation, storage, sample preparation, and instrument parameter considerations.
  • Experience starting with raw genomic and transcriptomic data through primary and secondary analysis.
  • Strong transcriptomics experience with an emphasis on differential expression analysis.
  • Experience with other transcriptomic analyses is a plus, including: Variation analysis (RNA editing detection, variant detection, gene fusion detection), Long and short-read isoform detection, microRNA-based analysis, and lncRNA-based analysis.
  • Experience with newly generated as well as historical transcriptomic data derived from microarray, RNA sequencing, PCR, and related cross-platform considerations.
  • Multi-omic experience is a plus, including genomic, epigenomic, proteomic, metabolomic, lipidomic, and also including electronic health record (e.g. vitals, lab results).
  • Strong experience in machine-learning methodologies and related software tools.
  • Experience developing biomarkers as prognostic and predictive tools relating to therapy response and clinical outcomes including morbidity, mortality, length of hospital stay, and cost of care.
  • Software development experience is a plus.
  • Experience managing individuals as direct reports.
  • Responsibilities:
  • Work with clinicians, biologists, statisticians, data scientists, software developers, assay developers, engineers, product developers, and product managers to:
  • Review internally and externally available data, analyses, and results. 
  • Formulate and evaluate clinical hypothesis.
  • Design related experiments employing historical data.
  • Design prospective experiments for generating necessary data.
  • Process and analyze data.
  • Formulate results and draw conclusions.
  • Develop software to automate data pipelines.
  • Identify candidate biomarkers amenable to in vitro diagnostic test development.
  • Design analytical and clinical studies.
  • Qualifications:
  • Graduate degree (PhD) in a Science/Engineering field with appropriate experience is preferred.
  • Minimum of 5 years industry experience in relevant field.
  • Strong experience with relevant tools and languages including R, Python, Bash, Linux environment, Git, and AWS.
  • Ability to work independently and in a team environment.
  • Excellent oral and written communication skills.

  • You will be working within a fast paced, interdisciplinary team that will demand excellent communication and teamwork skills. This individual will be expected to be comfortable functioning within a small and rapidly growing company where ones success is intimately linked with the success of the company.