Client's Access Technology and Infrastructure Department (ATI) department is looking for a new Business Systems Analyst to develop, support, and perform ad-hoc analysis using our cloud-based solutions on AWS that utilize our internally developed Master Data Management Solution called C3AE (Channel, Contracting, Customer Access.

A minimum of 10+ years of related Industry experience as with a focus in sales, sales engineering, &/or technical product marketing, enablement, and/or enterprise software in data cloud, data warehouse, data engineering, &/or data science.

Experience building massively scalable data infrastructure using commercial and open-source tools. At least 10+ years of industry experience in software development using modern software development processes, tool chains and infrastructure.

We currently operate multiple gRPC services written in Go and Rust, and many Kafka consumers write in Rust. These services talk to multiple different types of backing data stores such as Redis, PostgreSQL, and Scylla.

Proficiency with Medidata Rave EDC, Clinical Data Repositories and Visualization software. BS degree required (in life science or related field preferred) with minimum of 4 years of hands-on data management/CDM experience in CRO, biotech or pharmaceutical industry.

Help maintain our production infrastructure within Google Cloud, refining our scripts and procedures for testing, monitoring, and deployment automation. 3+ years of experience creating and maintaining infrastructure at scale, on top of AWS or Google Cloud.

Additionally, this role is highly multi-functional, requiring close collaboration with Data Science, Experimentation, and Machine Learning teams to understand customer requirements and analytics applications, as well as with Data Infrastructure and Storage teams to develop integrated solutions.

2+ years of experience in Data Science or a related field, with a focus on building NLP/LLMs or Deep Learning models. As a Data Scientist at Netomi, you will drive NLP and machine learning projects and be responsible for developing methodology and solutions to support technical, analytical, and operational requirements.

Constructing and enhancing data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable. Constructing and enhancing data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable.

Our strong credentials include Global SAP Certified Provider of SAP BTP Operations, Global SAP Certified Provider of SAP Cloud and Infrastructure Operations, Global SAP Certified Provider of DevOps, Global SAP Certified Provider of SAP S/4HANA Solutions Operations, Global SAP Certified Provider of SAP SuccessFactors Solutions Operations, Global SAP Certified Provider of SAP HANA Operations, and Global SAP Certified Provider of SAP Business Suite Solutions Operations.

You are a passionate, detail-oriented, and creative problem solver with a strong background in Data Science and Engineering, excited by the prospect of pursuing hard problems and exploring the unknown.

Collaborates with NPM's staff across Clinical Science, Digital Health, Software Engineering, Data Science, and Informatics to detail AI model functionality and requirements to significantly increase efficiency in the areas of document control, clinical information extraction, information synthesis and clinical note preparation.

Proven at a global web scale in production for modern data services, Alluxio is the developer of open-source data orchestration software for large-scale analytics and AI. Alluxio is in production use today at eight out of the top ten internet companies, and seven of the ten highest-valued companies in the world.

Hands-on experience with cloud-native software development and operations approach; primarily using tools and technologies such as Docker, Kubernetes, and Cloud services to run software services and data analytics jobs.

On the cloud infrastructure team, you’ll be owning near-real-time big data processing. Senior Software Engineer - Cloud Infrastructure. Experience in Cloud/Big Data platforms (e.g., AWS, GCP, Beam, Spark, etc.