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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Additional experience with Pyspark, AWS S3, Lambda, EC2/AZ, Data bricks, Machine learning (ML), GenAI/ Computer Vision, Theory of Probability, GitLab, R Programming, GCP & Airflow will be preferred.
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Ideal candidates will possess: Familiarity with analyzing oncology clinical dataFamiliarity with DBT workflowsFamiliarity with creating and maintaining BI dashboards; Looker experience nice to haveFamiliarity with machine learning techniques, with an understanding of the strengths and limitations of various approachesProficiency in navigating large, complex problems within a fast-paced environment.
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I'm working with a pre-clinical biotechnology company revolutionizing the field of antibody discovery through the integration of cutting-edge machine learning (ML) platforms. Strong expertise in antibody engineering, including experience with display technologies (e.g., phage, yeast.
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The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
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For methods builders we also welcome links to github/bitbucket pages, and relevant bioinformatics/computational biology/machine learning community contributions. Extensive experience in handling and analyzing Next Generation Sequencing data.
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Proficiency in programming languages such as Python and R, with experience in data analysis and machine learning libraries. PHD candidates in Engineering/ IT/Computer Engineering/Computer Science/Bioinformatics or related discipline with relevant with a minimum of 1 years of experience in software development and pipeline automation in the pharmaceutical and/or biotech industry.
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PHD candidates in Engineering/ IT/Computer Engineering/Computer Science/Bioinformatics or related discipline with relevant with a minimum of 3 years of experience in software development and pipeline automation in the pharmaceutical and/or biotech industry.
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As a member of our Machine Learning Research team, you will design new approaches to derive insights from Pfizer's proprietary data and external datasets to generate testable hypotheses across the drug discovery continuum with a focus on extracting biological knowledge.
$99,900 - $166,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with analyzing and interpreting preclinical and clinical biomarker datasets and mining publicly available data. The successful candidate will be responsible for analyzing early-stage biomarker and multi-omics data, mining publicly available data sources, and designing experiments to validate model predictions.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations.
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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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Job Description: We're seeking a proactive and highly skilled Data Analyst with a background in Computer Science, Data Engineering, or a related field, coupled with expertise in Google Cloud Platform (GCP) and Amazon Web Services (AWS.
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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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machine learning data mining software engineering visualization jobs Company: Sheetz in Boston, MA
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