Company OverviewBiotech companyCreated a platform that uses computational approaches to identify proteinsDiscovering and developing therapeutics for rare and chronic diseasesPartner with Pharma companies to develop therapeuticsTheir technology is allowing clinical trials to be developed more efficiently and analyzed fasterEmbrace diversity of backgrounds, experience and approachesTeamThis role is part of the Data Science groupThis is currently a group of 5 that will double this yearThey provide support for anything Data relatedHelp with Machine Learning and Analytical approachesProvide support on Data Analysis & Bioinformatics projectsHelp to advance the companies platformJob OverviewApply computational biology approaches that includes machine learning/AI techniques, data integration, and biological knowledgePartner with Scientists, Engineers, R&D, Software team, Operations teamAnalysis of multi-omics, RNA Seq Data, Single Cell researchComputational protein/drug discovery modelingDevelop and apply machine learning methodsEnhance the efficiency of candidate biologics discovery/screening for increased stem cell activityWork with coworkers who work in the labHelp develop experiments using data-led approachesAnswer interesting questions in cancer therapeuticsAnalyze data to gather biological and clinical insightsBe able to shape the data science and product developmentLead multiple bioinformatics projectsMake use of both public and internal dataHelp identify new targets, biomarkers, and patient segments, andArticulate findings and observations to internal stakeholdersBuild and/or implement new computational biology capabilities to translate biological data into insightsJob RequirementsPh.D. in Bioinformatics, Computational Biology, Data Science, or related field2+ years of Biotech or Pharma industry experienceSeveral years of experience in independently leading computational biology-related projects using omics dataExperience with epigenomics, genomics, transcriptomics, proteomicsDemonstrated mastery of bioinformatics/proteomics/multi-omics analysisBiostatistical methodologies experiencePython, R and Linux shell environmentExperience with NGS data, RNA seq, Single Cell seqExperience collaborating with scientists on Design of Experiment (DOE)Benefits include but are not limited toHealthcareVisionDentalRetirementPTOUpward mobility Hybrid Potential for remote optionEligibility Requirements:Must be legally authorized to work in the United States without restriction.