This is a hybrid work position with expectations of being onsite several times a week.

Duties:

• Analyze molecular assay data spanning genomics to proteomics to uncover disease-specific signals from liquid biopsies.
• Develop molecular assay data processing pipelines.
• Evaluate, research and develop analysis methods for molecular assay data and apply them to generate insights.
• Contribute reproducible, reusable, and robust code to the internal codebase.
• Document results of analyses and investigations in a reproducible manner.
• Collaborate within cross-disciplinary teams composed of analytical chemists, data scientists, and clinicians.
• Communicate insights to both experts and non-experts via presentations and publications.

Requirements:

• M.S. in computer science, bioinformatics, biostatistics, or related discipline. Ph.D. preferred.
• Prior experience working with genomics sequencing or proteomics mass spectrometry data.
• Proficiency in at least one general purpose coding language such as Python or R.
• Proficiency in general statistical methods as commonly used in the field.
• A record of achievement as evidenced by quality publications.
• Excellent communication and collaboration skills.