Mercy BioAnalytics, Inc. is a biotechnology company committed to reducing suffering and saving lives through the early detection of cancer. We are looking for a passionate individual to join our mission leading Computational Biology for Mercy’s R&D organization.
This individual will play a critical role in the development of our Mercy Halo blood test portfolio through biomarker discovery and biological interpretation. We are working to solve one of the hardest problems in modern oncology: Can we detect cancer in the blood at its earliest stages, and can we do so in a way that’s accessible to all those that need it? Your responsibilities will include end-to-end support of cancer diagnostic development programs – from identification of biomarker targets, through biomarker screening and into validation studies in large clinical cohorts. You will lead the data analysis, visualization, and interpretation for the company and contribute to our strategy as we develop and commercialize new diagnostic assays.
Candidates for this position must enjoy working for a fast-paced, cutting-edge company and demonstrate exemplary situational leadership capabilities and a passion for contributing to our life-saving mission.
Responsibilities
- Lead analysis and interpretation of molecular and clinical data in the context of early cancer detection, serving as a key thought-leader on the computational biology team
- Work collaboratively with computational and experimental teams on continuous development of high throughput assays and computational models supporting diagnostic discovery and development
- Remain at the forefront of research developments in cancer biology, particular with regard to early cancer development and diagnostic modalities
- Actively participate in growing and developing a technology team (computational sciences, automation, machine learning, enabling technology)
- Improve discovery capabilities by continually expanding our knowledge engine with relevant datasets from public repositories, literature, and novel partnerships
- Analyze, visualize, and present Mercy Halo data to cross-functional teams internally and externally
- Deliver data packages to support conference abstracts, posters, and peer-reviewed manuscripts
Requirements
- PhD in Biological or Computational Sciences with a quantitative biology focus.
- Fluency in R and/or Python and familiarity with working in shared high performance compute environments
- 5+ years of applying computational techniques for biomarker discovery and product development, preferably in an industry setting
- Depth in oncology-focused bioinformatics, including familiarity with the current data landscape
- Demonstrated experience mining and integrating publicly available oncology datasets (genomics, transcriptomics, proteomics, etc.) to identify targets and pathways relevant to early-stage cancer biology
- Experience applying computational methods (including statistical modeling and machine learning approaches) to analyze complex human clinical data
- Excellent written, oral, and presentation skills; comfortable building data literacy in a small organization
- Passion for precision health, and an authentic appreciation for the Mercy mission with a desire to bring a collaborative spirit and strong relationship building, both internally and externally
- Ability to work effectively and efficiently in a fast-paced and dynamic innovation-oriented work environment and prioritize among multiple projects and program teams
- Position is flexible, with periodic travel required to visit company headquarters and participation in scientific meetings
Hiring Manager: Director, Computational Biology, and Infrastructure
Location: Flexible (on-site, remote or hybrid)