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Atomwise is revolutionizing how drugs are discovered with AI. The Company invented the use of deep learning for structure-based drug discovery and is developing a pipeline of small-molecule drug candidates advancing into preclinical studies.
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Experience with Machine Learning / AI techniques used for molecular modeling to accelerate molecular simulations and infer structural features using high-performance computing environments.
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Good verbal, interpersonal, and written communication English skills Operate well within fast-paced, small teams 5+ years working with machine learning algorithms, deep learning frameworks, and common data science libraries Powered by JazzHR.
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Doctoral (PhD) degree in bioengineering, cancer biology or an equivalent field, with a combined background of cancer biology and computer science. TCR repertoire analysis from DNA and RNA sequencing data.
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Experience working with cross functional teams (Data Science teams a plus) Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products.
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Design and implement complex data models, modeling metadata, building reports and dashboards and creating reporting tools for data science and ML products users. Be the company’s expert on data administration and master data management.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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This will be a hands-on / applied machine learning role with a focus on Generative AI, RAG, and document understanding (Taxonomy, Digitization, Classification, Extraction, Validation, etc.
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The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day.
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Ph. D. in computer science, machine learning, or related engineering field. You will design experiments for large-scale data collection, investigate & understand deep learning architectures, and invent novel techniques for processing neural signals.
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Knowledge of analytics used to support purification development activities including HPLC, ELISA, SDS-PAGE and spectroscopy and proficiency to interpret data. As a Field Application Scientist at Purolite, an Ecolab Company , you will provide technical leadership by demonstrating application and theoretical knowledge of chromatography and downstream bioprocessing to design-in Purolite chromatography resins.
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Required Skills & Experience 3+ years of Data Engineering experience Software development background SQL NoSQL Database experience Python AWS (EMR, RDS, Redshift, Kinesis) Hadoop or Spark Desired Skills & Experience Masters degree or higher in Computer Science or related field.
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You have a solid foundation in computer science with strong competencies in data structures, algorithms, and software design. We're bringing together the best of computational linguistics, machine learning, and education research, to superpower teachers in their work.
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This person will employ machine learning techniques to develop and test models of neural representations of disease symptom states; contribution to regulatory submissions to IRB and FDA; communication with collaborators (industrial and nonindustrial); assist with patient recruitment, communication, and management throughout the trial; contribute materials to grant submissions; prepare conference presentations and academic publications.
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At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners.
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machine learning computer science data scientist masters jobs Title: data scientist in San Francisco, NY, Minnesota
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