Software Engineer

Looking for a talented Data Software Engineer for a fast growing client in the medical industry!

About the client :

They are a fast-growing AI-driven startup revolutionizing early disease detection through advanced medical imaging and data analysis. Our team is dedicated to transforming healthcare with cutting-edge technology, and we are seeking a talented Data Software Engineer to join our mission. If you thrive in dynamic environments and are passionate about data-driven innovation, we’d love to hear from you!

Key Responsibilities :

Data Integration & Curation :

• Integrate data from various sources, including electronic health records (EHRs), medical devices, and external databases.
• Automate data workflows and ETL (Extract, Transform, Load) processes for batch data ingestion to improve efficiency and reduce manual intervention.
• Work autonomously on data projects, leveraging strong organizational and problem-solving skills.

Data Management :

• Ensure data accuracy, completeness, and integrity in collaboration with the Clinical Operations team.
• Identify and resolve data-related issues to maintain seamless operations.
• Monitor data systems and assist in batch data pulls for researchers and stakeholders.

Data Infrastructure :

• Support the development and maintenance of data warehouses and databases optimized for analysis.
• Assist in building data loaders and processing pipelines for AI / ML training on AWS / GCP.
• Create datasets, data filters, and quantifiers to support ML / AI initiatives.

Statistical Analysis :

• Provide statistical insights, including sensitivity / specificity, PPV / NPV, ROC, and AUC.

SaaS & Software Support :

• Collaborate with software engineers to integrate data systems with our SaaS platforms.
• Support the development and maintenance of applications that interact with data systems.
• Adapt to evolving software development needs in a startup environment.

Cross-Functional Collaboration :

• Work closely with data scientists, AI engineers, clinical operations teams, and analysts to provide technical support, data dumps, and analytics.

Qualifications : Required :

• Bachelor’s degree in Mathematics, Computer Science, Data Science, IT, Engineering, or a related field.
• 4+ years of experience in Python and SQL development.
• 3+ years of experience in data analytics, statistical analysis (EHR data, AUROC, Sensitivity / Specificity), and visualization tools (e.g., matplotlib, seaborn).
• 3+ years of experience with relational databases (MySQL, PostgreSQL) including data modeling, query optimization, and production maintenance.
• Strong problem-solving skills, attention to detail, and ability to adapt in a dynamic environment.

Preferred :

• Experience working with medical data and / or medical imaging data.
• Knowledge of cloud platforms (AWS, Azure, GCP) and big data technologies.
• Exposure to SaaS environments, containerization, CI / CD tools, and Git.
• Familiarity with data security and compliance regulations (e.g., HIPAA).
• Understanding of ML / AI data preprocessing and dataset splits.

What We Look For :

• A fast learner eager to thrive in an AI-driven startup transforming the medical field.
• Ability to prioritize tasks and manage multiple projects in a fast-changing environment.
• Strong attention to detail and adherence to coding best practices.
• A problem-solver who thrives on challenges.
• A self-motivated, organized professional who can work independently and collaboratively.
• Excellent communication skills to engage effectively with teams and stakeholders.

Why Join Us?

• Work on meaningful projects that impact healthcare and early disease detection.
• Collaborate with an innovative team in an exciting, fast-paced environment.
• Competitive compensation and growth opportunities in a cutting-edge AI startup.

If you're passionate about leveraging data to drive impactful solutions in the healthcare industry, apply today and be part of our mission to shape the future of medical diagnostics!