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Showing 8 jobs
Skills:
Hplc, GxP requirements, UV spectrometer, Documentation, Dissolution, LC-MS, Troubleshooting, KF auto titrator, Method Development, MS-office tools, Calibration, Gc, GC-MS
Skills:
graph databases , AWS, Sql, Sparql, Machine Learning, Deep Learning, Python, Azure, Gcp, knowledge graphs, RAG pipelines, Cypher, semantic data systems, SAP HANA Cloud, GQL, vector databases, embeddings
Skills:
plasmid vector construction, BLI, Molecular Biology, immunogen designs, IHC, antibody development, Western Blotting, Glp, extension assays, Spr, protein-protein interaction, Protein Expression, IF, conjugation chemistries, Elisa, standard operating procedures, next generation sequencing, Protein Purification, biophysical characterization, high-throughput cloning, sds-page, affinity measurements, protein biology, epitope binning, proximity ligation
Skills:
sample management , quality assurance, ligand binding assays, vendor oversight and management, project management, bioanalytical and biomarker strategies, Immunohistochemistry, QPCR, Flow Cytometry, lc ms, ICH GCP regulations, clinical laboratory specimen handling
Skills:
snowflake , prophet , Machine Learning, Pyspark, Neural Networks, Sql, Numpy, Git, Pandas, Gcp, Databricks, Azure, Python, AWS, Airflow, FB-Meta, Google DenseNet, Random Forests, TiDE, Exponential Smoothing Models, Dagster, S ARIMA, Gradient Boosting Methods
Skills:
Predictive Modeling, Machine Learning, Algorithm Design, Sql, Deep Learning, Tensorflow, Nlp, Pytorch, MLops, Spark, Python, a/b testing, AWS Bedrock, Data Pipelines, Scikit-learn, Statistical Methods, Recommendation Systems, GCP AI Platform, AWS SageMaker, Google Vertex AI, Uplift Modeling
Skills:
graph databases , Deep Learning, Databricks, Sql, Workday, SAP, Machine Learning, AWS, Python, Servicenow, Azure, Gcp, RAG pipelines, SAP HANA Cloud, vector databases, embeddings, Knowledge Representation, SAP Datasphere, Salesforce, semantic retrieval, Statistical Modeling
Skills:
graph databases , Tensorflow, Nlp, Pytorch, Gcp, Neo4j, Azure, Python, AWS, GenAI, LLMs, knowledge graphs, Scikit-learn, DGL, cloud AI ML services, vector stores, MLOps practices
