Position Details

Type Not Specified

Experience lead

Exp. Years 5+ years

Education Advanced degree (Master's or equivalent) in Computer Science, Engineering, Life Sciences, or other relevant field.

Category Data & Analytics

About this role

Lead data science data engineering initiatives for Oncology R&D, designing and maintaining data pipelines and AI-ready data systems; acts as a people leader while delivering high-quality data products across Clinical, Pre-Clinical, RWD and omics platforms.

Key Responsibilities

Lead data pipelines for Oncology R&D data; translate business requirements into data products; collaborate with Ontology and Knowledge Graph Engineers to design AI-ready data systems; develop Oncology R&D data repositories using enterprise data models on AWS S3; implement data versioning, lineage tracking, and documentation; apply DevOps practices

Technical Overview

Stack includes Python, R, SQL on AWS (S3, Redshift, Glue, Lambda), NoSQL/Graph databases, data modeling and data warehousing; DevOps practices; data versioning and lineage.

Ideal Candidate

The ideal candidate is a data science manager with 5+ years data engineering experience in healthcare/oncology; proficient in Python, R, SQL, and AWS data platforms; capable leader building AI-ready data pipelines and data repositories in Oncology R&D.

Must-Have Skills

Advanced degree (Master's or equivalent) in Computer ScienceEngineeringLife Sciencesor other relevant field is strongly preferred. (Bachelor's Degree with experience equivalency may be considered.)5+ years of experience in data engineeringincluding data modeling and database design2+ years experience managing a technical team aimed at delivering data systemsPythonRSQLAmazon Web ServicesNoSQLGraph databasesData modelingData pipelinesDevOpsCode Versioning

Nice-to-Have Skills

Experience with healthcare data standards (CDISCHL7FHIRSNOMED CTOMOPDICOM)Exposure to high dimensional data technologies and handlingincluding imagingFamiliarity with machine learning operations (MLOps) and model deployment

Required Skills

Advanced degreedata engineeringPythonRSQLAWSRedshiftFSxGlueLambdaNoSQLGraph databasesdata modelingdata pipelinesDevOpsCode VersioningOncology R&DReal-world dataomicsdata workflows

Hard Skills

PythonRSQLAmazon Web ServicesAmazon S3RedshiftFSxGlueLambdaNoSQLGraph databasesData modelingData pipelinesDevOpsCode Versioning

Soft Skills

LeadershipStakeholder managementRequirements gatheringBusiness analysisProject managementCommunicationProblem-solvingOrganizational changeStrategic thinkingTravel willingness

Industry & Role

Industry Healthcare & Medical

Job Function Lead data science data engineering efforts for Oncology R&D, delivering AI-ready data architectures and data pipelines

Role Subtype Data Science Manager

Tech Domains Python, R, SQL, Amazon Web Services, Amazon S3, Redshift, Graph databases, Data modeling, Data pipelines

Keywords for Your Resume

Advanced degree (Master's or equivalent)data engineering5+ yearsPythonRSQLAmazon Web ServicesAmazon S3RedshiftFSxGlueLambdaNoSQLGraph databasesData modelingdata pipelinesDevOpsCode VersioningOncology R&DRWDomicsstakeholder management

Deal Breakers

No 5+ years data engineering, No 2+ years managing a technical team, No AWS/Amazon Web Services experience, No Oncology R&D experience

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