Sr. Data manager/ Data architect / Data engineer lead (Medical Imaging Data)

WHO WE ARE Nextphase.ai is a Data Management solution provider focused on Data Operations services for enterprise data in the cloud. We are leading the innovation agenda with our clients by delivering a portfolio of services to help them improve data quality and manage data governance for their cloud data. NextPhase.ai data management services are tailored to achieve our client's business outcomes thus enabling our clients to focus on monetizing their data while we handle data operations. Nextphase.ai provides you with a dynamic and fun work environment and encourages you to use creative thinking to solve client challenges. The Role: Image Curation and Data products team transforms biomedical imaging data from clinical trials and RWD, by applying the tools and workflows to deliver high quality, FAIR imaging data sets enabling imaging data scientists to discover and utilize for exploratory use to algorithm development. This position is for a Sr. Data manager/ Data architect / Data engineer lead, to join this global team of Imaging data managers to realize the product vision and value. Key Responsibilities: Imaging Data Pipeline delivery: Design, implement and maintain automated pipelines for onboarding, verifying, transforming and curating biomedical imaging data from clinical trials and real world data sources, for therapeutic areas, Oncology, Neurology, Ophthalmology covering all image file formats. Data Quality and Integrity: Develop and implement solutions to detect and correct anomalies and inconsistencies, to achieve highest data quality of the imaging data set, per industry standards DICOM, and internal specifications like FFS, RTS, GDSR, etc. Ensure de-identification, PHI/PII controls, and image specific QC checks are implemented at scale. Data Analysis and integration: Integrate ML and AI assisted tools in the pipelines for inline image analysis, classifications, segmentations, to extract and enrich metadata for various analyses, optimize performance etc.. Image Data Management: Build and maintain large scale catalogs of curated imaging data sets enhancing FAIR principles, and providing easy to discover and access imaging data assets.. Compliance and Controls: Ensure applicable compliance and privacy controls are followed as required GXP, CSV validations. Collaboration: Working closely with Image scientists, data scientists, clinops, and biomarker research teams, supporting data needs for various primary and secondary endpoint analyses. External collaboration: Work with external partners e.g. CROs in ensuring the imaging data received conforms to the established agreements and quality standards and complete. Lead to the delivery team to ensure timely delivery of product backlog / features Participate with the team and lead various agile ceremonies throughout the planning and execution. Ideal candidate would have, (multiple competencies from list below); Worked with medical imaging data and platforms , PACS, VNAs etc. Worked with imaging Radiology data e.g. CT, PET, MRI, nifti and Ophtha imaging OCT, FA,CFP etc. Good understanding of DICOM standard, structure, metadata parsing, tags, multi-frame images Worked with Clinical information data standards like, SDTM, ADaM Data integration across diverse data sources, e.g. imaging data with tabular clinical data De-identification methodologies, PHI/PII detection and privacy controls Good understanding of GXP and CSV validation frameworks Proficient in Python, its libraries : pandas, pydicom, SimpleITK, dicom-numpy, dcm2niix Hands on experience with ETL/ELT involving large medical imaging datasets Apache Airflow, Spark, Talend or similar orchestration of complex workflows. Proficiency with SQL and noSql, and image meta data stores. (PostgreSQL, Mongo Etc) Practical experience with AWS infrastructure Data services, e.g. RDS, Athena, Glue, EC2 Lambda, S3 …. Familiar with EKS, Docker, and HPC Experience in data analysis and report generation, e.g Tibco, Tableau, AWS Quicksite etc Good knowledge of Git, Gitlab and DevOps tools like Jenkins, Terraform Familiar with using ML workflows for Computer Vision tasks like segmentation, classification, etc.. Nice to have: implemented solutions on NLP and GenAI Worked with cross functional global teams in a dynamic Agile environment Lead and mentor agile team members. Has 10+ years of experience with data platforms, analysis and insights Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship or employment visas currently. NextPhase.ai is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.