Sciometrix - Senior Software Engineer - Generative AI (4-8 yrs)

At Sciometrix, our goal is to deliver the best-ever personalized care with utmost compassion enabling patients to lead healthier and happier lives. Our commitment to innovation in healthcare technology drives us to lead the way in Care Management, Digital Care Coordination, Value-Based Care, and Population Health.

"We envision a world where advanced technology and human compassion intersect seamlessly to deliver superior patient experiences and outcomes."

Our mission is to enhance the lives of patients by leveraging digital solutions that reduce hospital readmissions, improve health outcomes, and optimize the delivery of healthcare services.

At the heart of our philosophy lies the belief that every patient deserves access to the highest quality of care, tailored to their individual needs. We strive to make this vision a reality by pioneering innovative solutions that prioritize patient well-being and provider efficiency.

With Sciometrix, the future of healthcare is not just about treating illnesses; it's about empowering patients to live their best lives.

Key Responsibilities :

We are seeking a highly skilled and innovative Senior Software Engineer with expertise in Generative AI to join our healthcare technology team. This role will involve developing advanced AI-driven solutions that aim to improve patient care, enhance hospital operations, and optimize healthcare outcomes. As a part of our cutting-edge projects, you will work on areas such as predictive analytics, sentiment analysis, Small Language Models (SLMs) and machine learning, tailored specifically to meet the needs of the healthcare industry.

AI Model Development :

- Design, build, and implement AI models and algorithms tailored to healthcare and clinical data, leveraging both supervised and unsupervised learning methods.

- Your models will aim to enhance clinical decision-making, improve operational efficiency, and predict patient outcomes.

Small Language Models :

- Work with frameworks such as Hugging Face Transformers, TensorFlow Lite, PyTorch Mobile, and ONNX Runtime to build and optimize small, efficient language models suitable for healthcare applications.

- Implement techniques like Quantization, Pruning, and Knowledge Distillation to ensure models are optimized for performance, resource efficiency, and real-time deployment on mobile or edge devices.

Data Integration & Management :

- Integrate structured and unstructured data from multiple sources including EHR systems, patient records, medical imaging, and sensor data.

- Ensure seamless integration with our healthcare platform, Clinicus, for a unified, actionable data repository.

Model Evaluation and Optimization :

- Continuously test, evaluate, and optimize AI models for accuracy, scalability, and real-time performance. This is especially critical in high-stakes healthcare environments where timely and accurate insights are essential.

Predictive Analytics :

- Future Vitals Prediction : Develop AI models to predict future vital signs based on historical patient data, anticipating potential health events to facilitate early interventions.

- Build machine learning models to identify high-risk patients for hospital re-admission

Patient Voice and Sentiment Analysis :

- Design and implement AI models to process audio and textual data for patient sentiment analysis, identifying patient concerns, emotional states, and overall satisfaction. This analysis will aid in improving patient engagement and care outcomes.

Patient Current Status and Reactivation :

- Develop AI systems that assess and report on a patient's current health status by leveraging predictive modeling techniques.

- Use insights from Future Vitals and hospitalization risks to create detailed patient reactivation and visit scheduling reports, improving the timing and effectiveness of follow-ups and care interventions.

Qualifications :

- Proven experience in developing AI/ML models

- Strong expertise in generative AI techniques, NLP, sentiment analysis, and machine learning applications.

- Hands-on experience with small language models using frameworks like Hugging Face Transformers, TensorFlow Lite, PyTorch Mobile, and ONNX Runtime.

- Familiarity with AI model optimization techniques including Quantization, Pruning, and Knowledge Distillation to ensure efficient and scalable deployment.

- Good to have knowledge of patient data privacy laws and healthcare compliance (e.g., HIPAA, GDPR).

- Strong problem-solving skills, with the ability to work collaboratively within cross-functional teams and communicate complex technical concepts to both technical and non-technical stakeholders.

Whats in it for you?

Diverse Startup Culture : Cultivate a security-focused mindset within our agile startup environment, advocating for proactive risk management and continuous improvement as fundamental pillars, enabling us to thrive in the fast-paced world of web development.

Collaborate : Work collaboratively with our cross-functional teams to design and develop intuitive, responsive, and visually appealing digital products.

Commitment to Diversity : We are paving the way to create change in the industry and our leadership is committed to diversity, inclusion and belonging.

Global Network : Expand your global network by developing, learning, and growing with our top talent and connections around the world

Community of Belonging : We're an organization that believes our ability to continually grow and build the right atmosphere where people feel safe and empowered, lets you bring your best self to work

Equal Opportunities :

Sciometrix is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, disability, gender identity, veteran status, and more