Mango Sciences

Database Programmer / Developer (SQL, Python, Healthcare)

Job Summary

We are seeking a skilled and experienced Database Programmer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining our database systems, with a strong focus on data integrity, performance, and security. The role requires expertise in SQL, strong programming skills in Python, and prior experience working within the healthcare domain to handle sensitive data and complex regulatory requirements.

Key Responsibilities

• Design, implement, and maintain scalable and efficient database schemas and systems.
• Develop and optimize complex SQL queries, stored procedures, and triggers for data manipulation and reporting.
• Write and maintain Python scripts to automate data pipelines, ETL processes, and database tasks.
• Collaborate with data analysts, software developers, and other stakeholders to understand data requirements and deliver robust solutions.
• Ensure data quality, integrity, and security, adhering to industry standards and regulations such as HIPAA.
• Troubleshoot and resolve database performance issues, including query tuning and indexing.
• Create and maintain technical documentation for database architecture, processes, and applications.

Required Qualifications

• Experience:
• Proven experience as a Database Programmer, SQL Developer, or a similar role.
• Demonstrable experience working with database systems, including data modeling and design.
• Strong background in developing and maintaining applications and scripts using Python.
• Direct experience within the healthcare domain is mandatory, including familiarity with medical data (e.g., patient records, claims data) and related regulatory compliance (e.g., HIPAA).
• Technical Skills:
• Expert-level proficiency in Structured Query Language (SQL) and relational databases (e.g., SQL Server, PostgreSQL, MySQL).
• Solid programming skills in Python, including experience with relevant libraries for data handling (e.g., Pandas, SQLAlchemy).
• Experience with data warehousing concepts and ETL (Extract, Transform, Load) processes.
• Familiarity with version control systems, such as Git.

Preferred Qualifications

• Experience with NoSQL databases (e.g., MongoDB, Cassandra).
• Knowledge of cloud-based data platforms (e.g., AWS, GCP, Azure).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Familiarity with other programming languages relevant to data science or application development.

Education

• Bachelor’s degree in computer science, Information Technology, or a related field.

To process your resume for the next process, please fill out the Google form with your updated resume.

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Technical Project Manager

Reports to: Chief Technology Officer (CTO)

Role Overview

We are looking for a visionary Technical Project Manager to spearhead the development of our next-generation healthcare data and AI platforms. In this role, you will bridge the gap between complex technical execution and high-level business strategy. You will be responsible for driving Agile workflows, optimizing resource allocation, and ensuring the seamless delivery of AI-powered solutions.

As a key member of our Health Tech team, you will articulate how our technology unlocks data interoperability and generates actionable insights. Your work will directly impact healthcare operations, patient outcomes, and revenue growth for our payer and biopharma partners.

Key Responsibilities

Technology Project Management

• End-to-End Execution: Lead cross-functional teams and stakeholders through the full project lifecycle—planning, execution, tracking, and performance evaluation—for healthcare data and AI products.
• Agile Leadership: Design and refine Agile processes and workflows using Jira and other development tools to ensure the timely and efficient delivery of technical milestones.
• Resource Optimization: Collaborate with team leads and executive management to intake new projects, allocate resources effectively, and track deliverables against key performance indicators (KPIs).

Portfolio Strategy & Roadmap

• Strategic Alignment: Translate technical and operational capabilities into clear, value-driven business outcomes for executive decision-makers.
• Risk Mitigation: Proactively monitor the health of the project portfolio, identifying potential bottlenecks and implementing mitigation strategies to keep development on track.

Product Advocacy & Demonstrations

• Technical Storytelling: Deliver tailored product demonstrations that showcase how our AI solutions transform healthcare workflows and executive decision-making.
• Use Case Excellence: Highlight the impact of AI-driven features, including predictive analytics, automated reporting, and intelligent data integration.
• Sales Support: Partner with the commercial team to provide technical expertise and compelling, executive-ready presentations during the sales cycle.

Qualifications

• Education: Bachelor’s degree in Engineering, Computer Science, or a related technical field.
• Experience: 5+ years of proven experience in technical project management, specifically delivering complex software products or data services.
• Communication: Exceptional stakeholder management skills with a track record of coordinating delivery across multiple technical and non-technical teams.
• Domain Knowledge: Previous experience in Health Tech, AI/ML, or large-scale data platforms is highly preferred.

Generative AI Engineer (Remote)

Experience: 8+ Years

Location: Remote

Industry: HealthTech / Precision Medicine / Data Science

The Opportunity

We are seeking a seasoned Senior Generative AI Engineer to join our mission of unlocking the value of clinical data to improve patient outcomes in emerging markets. Our platform bridges the gap between complex health data and life-saving precision medicine. In this role, you will build the intelligent layer that transforms unstructured, multi-modal clinical data into actionable insights for healthcare providers, pharmaceutical partners, and financial stakeholders.

Core Responsibilities

• Architect GenAI Solutions: Design and deploy scalable Generative AI systems, specifically focusing on RAG (Retrieval-Augmented Generation) architectures to query complex clinical datasets.
• Clinical NLP & Data Structuring: Develop LLM-based pipelines to extract, normalize, and structure data from messy, unstructured medical records and electronic health records (EHR).
• Model Optimization: Fine-tune open-source and proprietary LLMs for medical domain specificity, ensuring high precision, reduced hallucination, and clinical relevance.
• Agentic Workflows: Build AI agents capable of navigating complex healthcare workflows, from patient eligibility screening to longitudinal data analysis.
• Production-Grade Deployment: Collaborate with data engineers to integrate AI models into a robust production environment, ensuring security, data privacy (HIPAA/GDPR compliance), and low-latency performance.
• Leadership & Innovation: Act as a technical subject matter expert, staying ahead of the curve in LLM research and applying "state-of-the-art" techniques to real-world healthcare challenges.

Required Qualifications

• 8+ years of total experience in Software Engineering, Machine Learning, or Data Science.
• Deep GenAI Expertise: Proven track record of building and deploying LLM-powered applications (using frameworks like LangChain, LlamaIndex, or Haystack).
• Strong NLP Background: Significant experience with Natural Language Processing, especially in entity extraction and semantic search.
• Technical Stack: * Proficiency in Python and ML frameworks (PyTorch or TensorFlow).
• Experience with Vector Databases (e.g., Pinecone, Weaviate, Milvus).
• Familiarity with cloud infrastructure (AWS/Azure/GCP) and MLOps practices.
• Data Savvy: Experience working with complex, high-dimensional datasets.
• Education: Master’s or PhD in Computer Science, AI, Mathematics, or a related field (or equivalent deep industry experience).

Preferred Attributes

• Healthcare Experience: Prior experience with clinical data, medical coding (ICD-10, SNOMED), or HealthTech platforms.
• Mission-Driven: A passion for using technology to solve healthcare disparities and improve access to precision medicine.
• Adaptability: Comfortable in a fast-paced, remote-first environment where cross-functional collaboration is key.

To process your resume for the next process, please fill out the Google form with your updated resume.

https://forms.gle/aAwSkRfd2xpNBAYV6