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As a key member of the Sail Data Science Team, the Data Scientist (I/II) will work as part of a cross-disciplinary team of experimental, computational, and machine learning scientists and engineers to drive the development and extension of Sail's AI-driven programmable medicine platform, thereby pushing a new class of RNmedicines towards the clinic.
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Provides consultation for specialized biomarker analyses including genomic analysis of RNA expression data and analysis of other biomarker data (single cell RNA, NGS, protein, imaging) in conjunction with pre-clinical and clinical data.
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Enhance Real-Time Synchronization: Ensure real-time data synchronization across multiple warehouses (e.g., Snowflake, MSSQL, MySQL, BigQuery) to improve decision-making. · Technical Skills: Understanding of code repository practices and CI/CD principles (Git, Jenkins) and experience with Python, data quality, and validation techniques.
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You will develop novel bioinformatics and machine learning solutions and apply them to next-generation sequencing (NGS) data to discover and characterize biotherapeutics. + In-depth experience analyzing NGS data including B-cell receptor and antibody repertoire sequencing data.
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Ideally, the candidate will also have some experience with mammalian cell culture, molecular biology techniques, and computational workflows for handling large omics-level data sets. The successful candidate will have a background in biological sample preparation for small molecules/endogenous metabolites, LC-MS/MS operation, and data analysis.
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Master Data Management: Informatica MDM. Top must-have skills: Minimum 8 years of related experience Data Mesh, domain-driven design Data, Object modeling Database/Data warehouse - AWS RDS, Snowflake, AWS Redshift.
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Database/Data Warehouse: AWS RDS, Snowflake, AWS Redshift, Knowledge of SQL. Experience in Data Science/cloud-based machine learning platforms (AWS Bedrock, AWS Sagemaker, Snowflake Cortex etc.
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Conduct traffic studies including speed studies; traffic, pedestrian, and bicycle counts; turning movement counts; manual classification counts; crash studies, and other data collection efforts as required to support traffic engineering studies and roadway design projects.
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Meta data management/Data Catalog: Informatica EDC. Data Security: Experience in working within compliance (e.g.: quality, regulatory – data privacy, GxP, SOX) and cybersecurity requirements is a plus.
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BIG Data: Experience with distributed systems (Spark, Hadoop) is a plus. Data Quality: Informatica CDQ. Experience in all phases of a Data lifecycle: concept & design, development, implementation, change and operation.
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Collaborative Problem Solving: Collaborate with cross-functional teams including data scientists, machine learning engineers, and domain experts to identify business challenges and propose NLP-based solutions that have a tangible impact.
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Utilizes and leverages the college's data systems (e.g., Slate, Anthology Student, Snowflake, Razor’s Edge, etc.) Proficiency with software products used in statistical analysis (e.g., SPSS, SAS), data manipulation (e.g., MS Access, SQL, Excel), and display (e.g., Tableau, Power BI) including the ability to including to create data displays, pivot tables, use functions to create or recode variables, and to normalize, clean, and merge data.
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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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Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.) Define data engineering standards and best practices and drive operational excellence. Proven success in communication with database users, software engineers and senior management to collect requirements, discuss data modeling decisions and define data engineering strategies.
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Active collaboration with relevant stakeholders in function areas such as Targeted Protein Degradation, Discovery Biology, Translational Biology, Computational Chemistry and fellow data science teams & IT.
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data job Company: Focusgroupjobs in Lexington, MA
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