Lead Data Architect - Life Sciences & Healthcare (m/fd) Lead Data Architect - Life Sciences & Healthcare  …

Cognizant
in Frankfurt am Main, Hessen, Deutschland
Festanstellung, Vollzeit
Seien Sie der erste Bewerber
Competitive
Cognizant
in Frankfurt am Main, Hessen, Deutschland
Festanstellung, Vollzeit
Seien Sie der erste Bewerber
Competitive
Cognizant
Lead Data Architect - Life Sciences & Healthcare (m/fd)
Come, join our team in Europe as an Lead Data Architect - Health & Life Sciences Intelligence, and be part of our exciting growth. We are a focused Intelligence Practice within Cognizant's Digital Business & Technology organization. We support Cognizant engagements across clients in the Life Sciences and Healthcare industry verticals.

What will you do ?

We are looking for Lead Data Architect in designing, building, and deploying AI and machine learning models within Health & Life Sciences environment, who have an eagerness to learn and deliver large complex data insights and AI transformation programs across Europe. Your work will range from Biomedical Data Science and Discovery projects to designing and delivering AI and Insights solutions in an Agile environment

Your key responsibilities will be :

Create architectural standards, solution guidelines

Analyze and troubleshoot cloud solution performance bottlenecks

Establish IT Application Landscape (infrastructure /cloud /system /security /encryption /accesses)

Create architectural standards, solution guidelines

Interact with the Client to get awareness of existing architecture and processes

Establish IT Application Landscape (infrastructure /cloud /system /security /encryption /accesses)

Assist in defining and creating the data lake and orchestrate

What experience are we looking for ?

• Academic background in Bioinformatics, Biostatistics, Biomedical Engineering,

• Experienced in Technologies: AWS Cloud, AWS ETL GLUE, Informatica Cloud, Postgre SQL

• Hands-on experience with FAIR data principles and standards such as HL7 FHIR or OMOP CDM

• Hands-on experience on various machine learning tools, libraries and development platforms, e.g. Python, R, PyTorch, Tensorflow, Keras, AutoML, Azure ML Studio, Sagemaker, Databricks

• Ability to design, develop, optimize and scale decision-support systems using predictive models

• Exposure to federated learning and working with large data sets on distributed computing tools

• Understanding of ML model life cycle management and automation, e.g. MLOps and AutoML

• Experience in SQL and NoSQL databases
Cognizant logo
Ähnliche Jobangebote
Mehr Jobangebote ansehen
Close
Loading...
Loading...