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Knowledge of statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence techniques. Communicates complex subjects in a simple and engaging manner to non-technical and technical business partners using software such as Power Point, Word, Excel, and Tableau.
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PhD or MSc in computational biophysics, computational chemistry, chemical engineering, computer science, machine learning or related field. Development and implementation of advanced data analytics and state-of-the-art machine learning models to generate insights from proteomics (ABPP) data, protein structure, and protein dynamics to enhance target prioritization and structure-based drug design efforts.
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Independently design and execute in vivo experiments, analyze data and interpret results and present data to relevant stakeholders: Knowledge of data analysis programs such as GraphPad PRISM, MicroSoft Excel Fit, FlowJo FACS analysis, Nanostring transcriptome analysis and Softmax Pro and/or other equivalent software.
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We are looking for a rock star to join our team as a Machine Learning Engineer focused on protein design. To be effective in this role, you will need to be exceptional in structural biology, biophysics, and machine learning engineering.
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Helps grow and mentors team members on the fine art of data engineering and software abstractions. Work hands on with emerging technologies during software evaluations, PoCs and pilots.
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Work at the intersection of experimental and groundbreaking digital technologies, with a particular emphasis on expertise in machine learning and artificial intelligence (AI) as applied to small molecule drug discovery.
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Advanced degree in medicinal chemistry, computational chemistry, computational biology, computational chemical biology, or a related field. We are a driving force behind drug discovery, and we are now eagerly searching for an exceptional computational scientist like you to join our ranks.
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At least 8 years of experience in software engineering (Internship experience does not apply) As a Capital One Sr. Manager Software Engineer , you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Communication, Curiosity, Data, Data Analysis, Design of Experiments (DOE), Detail-Oriented, Drug Development, Drug Discovery Process, Ethics, Gene Therapy, Group Problem Solving, Immunology, Inventory Management, Laboratory, Large Group Presentations, Leading Project Teams, Life Science, Machine Learning (Ml), Medical Research {+ 9 more.
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Able to move portable x-ray machine to examination site. Comprised of Tufts Medical Center, Lowell General Hospital, MelroseWakefield Hospital, Lawrence Memorial Hospital of Medford, Care at Home - an expansive home care network, and large integrated physician network.
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Strong computer and systems skills, including office software, access management, CCTV, alarm systems, and incident reporting. Inter-Con Security Systems, Inc. is an affirmative action employer who provides equal employment opportunities to minorities, females, veterans, and disabled individuals, as well as other protected groups.
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Stem’s leading AI-driven enterprise software platform, Athena®, enables organizations to deploy and unlock value from clean energy assets at scale. The EMS is responsible for control, monitoring, diagnostics, and alerting of technical and performance issues, and harnesses significant operational experience from Stem’s deployment and Network Operations Center (NOC) teams as well as bridges both cloud software and edge capabilities.
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Work with supervisor and colleagues to obtain exclusive training for Microscoop system hardware, software, kits, peptide purification, and initiation of proteomics analysis, focusing on microscopy-guided proteomics applications, sample preparation techniques, and image analysis methodologies.
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We use a variety of technologies, but our Software teams primarily operate using Python, React, and Typescript with Google Cloud Platform (GCP) as our cloud provider. As a Machine Learning Engineer at Gecko, you will be working with Gecko’s unique dataset to develop and deploy machine learning models to solve critical business problems.
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Salary Range: $86,200.00-$113,100.00 Software Data Engineer, Java. Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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machine software jobs Company: Facebook in Boston, MA
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