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Valo Health, LLC ("Valo") is a technology company built to transform the drug discovery and development process using human-centric data and artificial intelligence-driven computation.
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Competitive applicants will have research programs leveraging Computational Biology, Artificial Intelligence (AI) and Machine Learning (ML) to advance drug discovery. The CDD seeks to hire faculty members with research programs at the medicinal chemistry, preclinical, behavioral, and/or translational levels that address addiction and mental health with a focus on AI/computational approaches to drug discovery and drug development.
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Experience in migrating data from on-prem Hadoop to Databricks/AWS Understanding of core AWS services, uses, and AWS architecture best practices Hands-on experience in different domains, like database architecture, business intelligence, machine learning, advanced analytics, big data, etc.
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Now, our Business Intelligence team is looking for a Salesforce Business Data Lead who, via managing and supporting the operations of Salesforce CRM and related products, as well as partnering with multiple collaborators within BU’s Development & Alumni Relations (DAR), will improve the effectiveness and efficiency of evidence-based decision making so that DAR’s various advancement objectives in philanthropy and in engagement can be achieved.
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We’re helping patients get the best care possible by working on digital health experience, analyzing big data to streamline the delivery of care, and reaching out to medically complex patients to better understand their needs.
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In addition to providing assistance on clinical research studies which includes being responsible for the following activities: recruiting and evaluating patients for studies; performing cognitive testing, scheduling appointments, assuring completion of visits and accurate data collection and entry, assisting/managing IRB submissions, and administering transcranial magnetic stimulation.
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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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A Masters’ Degree or Ph. D. in Computer Science, Artificial Intelligence, Applied Mathematics, Econometrics, Statistics, Physics, Market Research or related field. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today’s urgent challenges in education, racial equity, social justice, economic development, and the environment.
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The Project Director will also lead and assist with the conception and design of public information translating research results into action, designing and managing public health research studies, development of grant proposals, and preparation of manuscripts for submission to peer-reviewed journals.
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The Data Scientist will also interact with lab members emulating clinical trials in electronic health records using federated learning of target trial emulation with collaborators conducting molecular dynamic simulation for drug discovery, and with medicinal chemists conducting in silico screening.
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Since 1811, McLean Hospital has been a world leader in the treatment of mental illness and chemical dependency, research into the cause of mental illness and the training of generations of mental health care providers.
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The Manager, Patient Experience Data & Strategy role within the Patient-Centered Outcomes Research (PCOR) team works independently while under the supervision of a Director to design and execute patient experience data (PED) evidence research to support optimization of product registration, access & reimbursement, and clinical practice in collaboration with HEOR Strategy and other functions (e.g., Clinical Development & Operations, Regulatory, Commercial.
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For behavioral roles, Predocs will manage and manipulate data using qualitative research tools, such as Qualtrics and MTurk. Division of Research and Faculty Development.
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A PhD in machine learning, statistics, computer science, mathematics, physics, biology, or a related technical discipline and relevant experience in the research and development of artificial intelligence and machine learning based solutions OR MSc with a few years of relevant experience in the research and development of artificial intelligence and machine learning approaches to life sciences applications.
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The candidate should also be familiar with multivariate statistical methods, big data workflows using computing clusters, able to construct ETL pipelines with data from a variety of sources, and be well versed in model diagnostics and techniques to guard against overfitting.
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artificial intelligence research and development big data jobs in Cambridge, MA
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