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Acts as central steward of data quality, monitors risks through the holistic review of clinical and operational data, using detailed knowledge of the protocol, considering the specific therapeutic area aspects of the protocol related to the data collected and aligning with cross functional operational plans to drive comprehensive data science modeling tasks.
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3-5 years relevant experience in academic and/or industry (biotech or pharma) settings including experience in neurodegenerative disease mechanisms, disease modeling, drug discovery or assay development.
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As a data scientist for PRS, you will develop predictive modeling / machine learning solutions to complex business problems and create value to the business. Excellent understanding of data mining, predictive modeling, and data visualization.
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Ph. D. or 2+ years of direct experience in cell metabolism modeling and/or numerical simulation of dynamic systems. You will play an integral role on their team, with the development and deployment of fit-for-purpose models for simulation in pertinence to cell culture and fermentation processes.
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Advanced level of proficiency in modeling Equity, Debt, and hybrid instruments as they relate to a transaction or strategic finance related event. Experience building financial analytics models and tools from scratch in MS Excel and experience with one or more of the following: VBA, MS Access, SQL Server, Data Visualization applications (such as Tableau, Power BI, or Spotfire), and Alteryx.
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Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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We are seeking a collaborative bioinformatics and machine learning scientist to join the Computational Design and Predictive Modeling team in Cambridge, MA. You will develop novel bioinformatics and machine learning solutions and apply them to next-generation sequencing (NGS) data to discover and characterize biotherapeutics.
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Qualifications Candidates with a recent PhD or MD/PhD in immunology and experience in murine and/or T-cell immunology, molecular biology and in vivo modeling are encouraged to apply.
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Work with RT Controls Simulation engineer to develop models and complete HIL testing, model based development. Perform technical review of the user requirements in their requests for proposals including system designs and single line drawings for power plant and microgrid controls.
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The data architect will be responsible for setting standards around data modeling, data integration and data engineering best practices and data security design. Experience with data engineering tools such as Informatica PowerCenter / IICS and data modeling tools.
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We invite you to envision a future where your expertise in High Performance Computing catalyzes the evolution of physics simulation, harnessing next-generation technologies such as advanced computational chips, cloud scalability, and AI-enhanced functionalities.
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Lead in the impact modeling of environmental shifts and marketplace dynamics on the Alexion portfolio of medicines. Lead or set up task forces to take on strategic initiatives for Alexion medicines, such as emerging payment models, innovative contracting models, landscape research, biosimilar strategy, and legislation.
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6+ years of industry experience in drug R&D in pharma/biotech or life science-related industries with past experience involving both technical and strategic leadership High proficiency in developing and/or implementing AI/ML models in Python and R, particularly generative protein design, knowledge graphs and semantic modeling and inference, supervised/unsupervised learning, and LLMs. Experience with ML frameworks for deep learning (, tensorflow, keras, MXNet) & cloud platforms.
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Expertise in protein design and bioinformatics, including molecular modeling (homology modeling and molecular dynamics simulations) using in silico tools such as MOE, Maestro, NAMD, Schroedinger or VMD, etc.
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The position aims for candidates with a strong quantitative and computational background with extensive experience in genomics/transcriptomics (analysis of different bulk/single cell/spatial Next Generation sequencing Techniques as well as development of novel methods.
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modeling and simulation jobs Company: Apple in Boston, MA
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