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A bit about us:

Building Molecular NGS assays and computational technologies that will revolutionize pathogen identification. Our data-driven solutions play a key role in improving patient outcomes and will help shape future healthcare decisions and ultimately how medicine is practiced. Our Software and Informatics team is responsible for developing, building, and maintaining software to support our current product goals and our longer-term company mission.

Why join us?

We offer the ability to work on cutting-edge technology, excellent benefits, career growth, and equity! In addition, we are open to remote, hybrid, or onsite workers!

Job Details

Being the key contributor of computational/statistical metagenomics and genomics data-mining strategies, analytical execution and data interpretations supporting exploratory and phenotypic discovery stage projects.
Implementing strategies and delivering impactful results on the identification and annotation of nucleic acid sequences important in the field of Infections Disease.
Identifying opportunities to apply the latest advancements in Machine Learning (ML) and Artificial Intelligence (AI) to solve complex computational/statistical genomics. challenges by integrating diverse data types including omics, clinical, imaging, and other real-world evidences.
Participating in, interacting with, and influencing interdisciplinary project teams to drive effective decision-making by mining large-scale data and developing predictive signatures and models.
Integrate other high-dimensional data RNASeq, oncobiome, clinical metadata, metabolomics and proteomics, and Translational genomic data) supporting all stages of R&D, contributing to the construction of databases and web portals for result retrieval and visual/graphic display of internal and external published studies.
Maintain expertise and knowledge of new and emerging technological trends. Assess and identify existing or novel technologies that can further business objectives.
Conduct scientific presentations for internal/external audiences.
Train and supervise internal and external bioinformaticians and analysts, establish best practices among Data Sciences analysts, and help the Data Sciences infrastructure development.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

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