H3 Biomedicine is a leading company in cancer genomics driven drug discovery, delivering on the promise of precision medicine. The company was launched in 2011 with an unprecedented $200 million in initial funding from Eisai, plus a continued ongoing commitment to fund H3's robust discovery pipeline and clinical programs. Now with three clinical stage anti-cancer molecules in active development, H3 is able to uniquely leverage distinct insights from cancer genomics and real-life patient data to advance its projects to clinical proof of concept and beyond. H3 embraces a novel business model in which it collaborates with Eisai, a leading global pharmaceutical company, to create a prolific drug discovery engine and partnership platform.H3 Biomedicine has built a strong data science team with varied scientific background, skillset and responsibilities, spanning data analytics, cancer genomics, bioinformatics, scientific data management and integration to high performance computing. The team has been fully integrated in our research and development organization as a core strength.We are seeking a highly motivated computational biologist / bioinformatician with diverse backgrounds to join our data science and bioinformatics team. The ideal candidate should have solid scientific, computational and statistic training, and is delivery oriented with a focus on real world impact. The candidate should also be a quick learner, extremely flexible and able to adapt to needs and new scientific advancements. Principal Duties and ResponsibilitiesContribute to the identification and validation of novel cancer targets leveraging public and proprietary cancer genomics and genetics data and work closely with target validation team.Represent bioinformatics discipline in drug discovery project team to provide broad range of support and ensure best use of all relevant data impacting project decisions:Proactively identify opportunities and propose informatics solutions.Independently carry out informatics analysis.Summarize and present scientific results with clear conclusions and recommendations.Contribute to the development of innovative data management/integration and information intelligence solutions:Act as bridge between end users and developers to clarify and define system requirement.Provide bioinformatics support to ensure data quality and usability.Conduct data mining to extract maximal value out of information system.Maintain expertise in state-of-the-art bioinformatics and cancer genomics methods.Communication:Proactively communicate to supervisor and key stakeholders of activities and status.Generate patent, technical documents, external publications and presentation.Must be able to multi-task. QualificationsPhD in bioinformatics, computational biology, computer science, or related field, post-doc experience in the area of oncology or oncogenomics preferredProficiency in data analysis including but not limited to:Next generation sequencing data, especially exome and genome sequencingDiverse types of omics data such as genomic alterations, transcriptome profiling, copy number profiling, as well as data from various proteomics platformsData from large scale loss / gain of function screening experimentsBackground in deep learning and AI a plusSolid understanding of statistical analysis principles and expert user of one of the statistical data analysis tools/packages, such as R/bioconductor, python, matlab, or equivalentStrong computer skills including basic database and software development training/experience, ability to independently manipulate large datasets in Unix/Linux environment; experience with AWS preferredProficiency in common cancer genomics / bioinformatics databases and toolsAbility to understand real world problems thoroughly and propose fit-for-purpose solutions to the right question; ability to independently design and perform diverse bioinformatics tasks to answer questions impactful for projectsExperience with data visualization as an effective way of presenting and communicating resultsExperience and training in the area of machine learningMust be a team player and willing to help and ask for help; excellent written and verbal communication skills; excellent interpersonal skills with a proven record of interacting with biologists effectively. Associated topics: data center, data engineer, data integration, data integrity, data management, data scientist, database, etl, hbase, teradata
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