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The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning.
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Catchlight is seeking a dynamic Director of Engineering to lead our team in developing products using machine learning, large language models (LLMs), modern web applications, APIs, microservices, and cloud-native architecture.
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Strong demonstrable proficiency in UNIX, R, Python, and Perl; facility with Java, Matlab, C, C. Construction, implementation, and sensitivity analyses of biostatistical models in classical epidemiology, genetic epidemiology, and machine learning.
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Must have 2 years of experience developing, frameworks, reusable components, workflows; reviewing requirements and defects; preparing HLD, LLD; performing coding, scripting, automation; working with source data; scheduling jobs; using Ab Initio, Python, Teradata, Hive, Unix, ETL, Hadoop, Jenkins, Cloud, Oracle, SQL Server.
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The successful candidate will be responsible for developing and implementing computational strategies to support cutting-edge research and development in the fields of protein science, antibody discovery, proteomics, systems biology, scientific databases, machine learning, and others.
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Software Experience: Knowledge of SQL, SAS, R, Python, Tableau, GCP, and/or other programming/data query/reporting knowledge, also, intermediate to advanced skills in Microsoft Excel is required.
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Strong analytical capabilities with expertise in data analysis tools (e.g., Excel, SQL, SAS, Alteryx, PowerBI), with a working knowledge of analytical tools/software such as R, Python and data warehouse platforms (Snowflake.
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Experience working with digital educational content or designing learning experiences as an instructional designer, a learning experience designer, a creative role in ed tech, in educational publishing, or with experimental pedagogical approaches in the classroom.
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Preferred Qualifications Prior research experience in the biotech industry with a focus on next-generation sequencing Prior experience with amplicon sequencing, LNP/mRNA production Expertise in Python, R, Java, or other scripting languages Experience with Benchling workflows Competencies Collaborative – Openness, One Team Undaunted – Fearless, Can-do attitude Results Orientation – Delivering progress toward our mission.
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You will play a pivotal role in combating high-risk fraud and scams across our platform, utilizing advanced machine learning and analytical solutions. Collaborate with ML engineers to develop and leverage machine learning models.
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Subject matter expert in cyber security practices that include the configuration and architecture of security tools and products, service-oriented architecture, machine learning and artificial intelligence, Domain-Driven Design, etc.
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Collaborate with other researchers and experts to develop machine-learning methods for problems in computational biology. Software engineering experience demonstrated via previous work, and contributions to open source or coding competitions.
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Technical proficiency in Python, SQL, and Intex API is preferred. Proficient in Intex and proven ability to independently create cash flow models for complex RMBS transactions. Investment experience in Agency MBS and Non-Agency RMBS markets with a demonstrated history of investing across the capital structure in a variety of collateral types and structures.
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Working experience with analytics solutions such as Power BI, Tableau, R, Python, and/or Salesforce Einstein Analytics preferred. Now, our Business Intelligence team is looking for a Salesforce Dashboard Author who will transform complex data into meaningful visualizations and reports that effectively communicate insights and trends to Boston University's Development & Alumni Relations (DAR) leadership and its stakeholders.
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