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The oligotherapy data science leader role is embedded in and directly supports the Oligo Sciences team whose broad remit is the design, characterization, and early development of oligonucleotide therapies.
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Proficiency in Python for data science and image processing (e.g., TensorFlow, PyTorch, scikit-image, OpenCV, pandas). A bachelor's degree in a quantitative field (e.g., computer science, biostatistics, electrical engineering, bioengineering, computational biology, or related area) or equivalent experience.
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A Ph. D. in Bioinformatics, Computational Biology, Data Science or a related field Experience in scientific publications and proposal writing Biostatistics experience, experience using biostatistics tools in MATLAB or R Active U.S clearance What We Offer Benefits (focus on unique benefits vs.
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Proven experience in large-scale data science and/or computational biology. They will have a deep background and track record in data science and programming, with exceptional organization and communication skills.
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Develop the enterprise’s capacity to develop insights with advanced analytics such as data science, natural language processing, AI/ML, network science etc. At least five (5) years of professional experience in institutional research leadership and conducting outcomes assessment and/or applied social science research (quantitative, qualitative, mixed- and multi-method) preferably in a higher education setting and including three (3) years of team supervision.
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These component technologies are used in synergy with quantum information science demonstrations, as well as in standalone applications that include beyond-CMOS circuit technologies, energy-starved sensors, compact optical communication and laser radar transceivers, and microwave photonic signal processing.
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This involves the development of a control system architecture, selecting the components to be used, detailing schematic diagrams and system documentation, programming controllers (PLC, DCS, RTU), programming the process visualization (HMI/SCADA), developing databases for archiving/displaying historical system data and implementing/commissioning the control system at the clients facility.
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A degree in Bioinformatics, Computational Biology, Data Science or a related field plus 8 years of progressive technical experience. A Ph. D. in Bioinformatics, Computational Biology, Data Science or a related field.
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5 years of related experience in cyber security, computer science or engineering, data science, applied mathematics/statistics, operation research, or other physical science/engineering fields.
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The Scientist I, Bioinformatics is part of the Genomics and Data Sciences team and plays a critical role in supporting Discovery Biology to advance our portfolio of RNA, gene therapy, and CRISPR-based gene editing therapies to treat neuromuscular and CNS-related disease.
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Using advanced neuroimaging techniques, you will lead the development and implementation of fMRI protocols, data analysis, and interpretation to provide valuable insights into the impact of mindfulness, compassion and IFS on brain function.
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Governance Tools: Understanding of data governance and metadata management tools that may be used in DoD projects, such as Collibra or Informatica Axon. Tools of the Trade: Proficiency in data modeling tools such as Erwin Data Modeler, IBM Data Architect, or Oracle SQL Developer Data Modeler for creating and maintaining data models.
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Experience with Statistical analysis tools in Python and R as well as data science app development (R shiny/Streamlit). Knowledge of best practices in software engineering for reproducibility and data management skillsAbility to work in and adapt to a fast-paced environment Preferred Qualifications: Experience with protein co-evolution analysisExperience with NGS and bioinformatics toolsExperience with agile methodologies.
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Work closely with scientists within the in-vivo pharmacology group to verify in-vivo and Pharmacodynamic (qPCR) data. Work closely with scientists within the ADME group to verify bioanalytical data generated using HPLC-FD and LC-MS/MS.
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The Davies Lab have used unoccupied aerial vehicles to collect a large amount of LiDAR data spanning natural and experimental gradients of climate, wildlife abundance, fire frequency, and other factors at multiple sites across Africa, which will be available for use by the postdoctoral researcher to answer questions related to animal and landscape ecology.
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data science jobs Company: Iqvia Holdings Inc in Lexington, MA
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