Location – Waltham, MA (3 days a week, onsite from day 1)

 

 

 

Required:                                                                                                             

 

Bachelor's degree or higher in Computer Science, Software Engineering, Data Science, Biomedical Engineering or related field.

6+ Years of relevant work experience with Bachelor's degree.

3+ Years of relevant work experience with Masters or PhD.

4+ years of consistent coding in Python.

Strong understanding and use of relational databases and clinical data models.

Experience working with medical imaging data (DICOM) computer vision algorithms and tools.

Experience with AWS and cloud technologies and AWS DevOps tools.

Experience with creating and managing CI/CD pipelines in AWS.

Experience with Infrastructure as Code (IaC) using Terraform, CloudFormation or AWS CDK.

Excellent organizational, communication, and collaboration skills.

Foundational knowledge in machine learning (ML) operations and imaging ML pipelines.

 

 

Preferred Qualifications:

 

Experience with software validation in a regulated industry

Experience with Cloud imaging tools (ex. AWS Health Imaging, Azure Health Data Services)

Working knowledge of data de-identification/pseudonymization methods

Manipulating tabular metadata using SQL and Python's Pandas library

Experience with the Atlassian Tool Chain

Data and annotation version control tools and processes

Knowledge of HIPAA, FDA regulations (21 CFR Part 11), GDPR for medical device data governance.

 

 

Job Responsibilities:

 

Design a systems level architecture for clinical, device, and imaging data and pipelines to support machine learning & classical algorithm development throughout the product lifecycle.

Ensure architecture supports high-throughput image ingestion, indexing, and retrieval.

Advance conceptual, logical, and physical data models for structured, semi- structured, and unstructured data.

Help define and document data standards and definitions.

Implement governance frameworks that enforce healthcare and data regulations to data architecture (HIPAA, FDA Part 11, GDPR, etc.).

Performs strategic validation tasks of data management tools and platforms

Collaborate closely with data scientists, cloud data engineers, algorithm engineers, clinical engineers, software engineers and systems engineers locally and globally.

Investigate, research, and recommend appropriate software designs, machine learning operations, tools for dataset organization, controls, and traceability.

In all actions, lead with integrity and demonstrate a primary commitment to patient safety and product quality by maintaining compliance to all documented quality processes and procedures.

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Thanks & Regards
Radha | SR US IT Recruiter

Highbrow LLC