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Understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications.
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Oligo Data Science LeaderThe 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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Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, and physics.
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PhD degree in computer and information sciences, bioinformatics, cheminformatics, computational biology/chemistry with a minimum of 3 years' experience, or PhD in Biology, or life science field with minimum of 4 years’ experience in data sciences.
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On the Non-Viral Delivery team, you will be responsible for experimental design and execution, data analysis, and communication of experimental results leveraging binding moieties, such as antibody and peptide carriers, for these cell surface receptors, as well as supporting efforts to bring this science to new therapeutic programs.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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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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Director of Data Science & AI Research Chemistry. An advanced degree (master's or doctoral) in a quantitative fields including but not limited to Computer Science, Applied Mathematics, Astro/Physics, Computational Chemistry, all relevant engineering and science disciplines.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Key Functional Requirements & Qualifications: Advanced degree (PhD) in a field related to AI/ML or Data Analytics such as: Computer Science, Mathematics, Statistics, Physics, Biophysics, Computational Biology or Engineering Sciences.
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B.S. or M.S. in a biomedical data-related discipline, including Computer Science / Electrical Engineering / Biomedical Engineering, or Physical Sciences. In this internship, you will apply your data science / engineering background to develop advanced automation / visualization pipeline to manage and analyze large-scale patient imaging data.
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Proficiency with Python-based open-source data processing, workflow, and analytics tools (Apache Airflow, Apache Spark, Databricks, etc.) Strong Python programming skills for data processing (Pandas, SciPy, NumPy) and data visualization (Matplotlib, ggplot) are required.
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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 client’s facility.
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Programming, FPGA programming, digital design, digital signal processing, image processing, data analysis or artificial intelligence / machine learning. Position Description The group seeks a co-op student to assist our engineering staff with advanced concept demonstrations in the areas of data analysis, algorithm development, software development, and digital signal processing.
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Experience with cloud-based data storage, analytics & data science platforms. Strong Programming skills with good understanding of concepts such as OOPS, design patterns, master data management & Ontology development.
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Bachelor's Degree in Chemistry (or a closely related field) with a focus on inorganic chemistry, analytical chemistry, or materials science. Leverage expertise in chemical reactions, thermodynamics, and mass/heat transfer to analyze process data, identify areas for improvement in yield, efficiency, and waste minimization.
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3+ years experience in clinical informatics, bioinformatics, clinical data science, or clinical data engineering. As a Senior Health Information Scientist at Ontada, you will design information systems that power analytics and data science, guiding the delivery of precise cancer care.
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data science jobs in Lexington, MA
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