Data Science Director

We are a pioneering MedTech startup dedicated to revolutionizing healthcare through our innovative product Healthentia, a Software as Medical Device (SaMD) designed to empower patients and healthcare professionals. We are on a mission to harness the power of data and AI to improve patient outcomes and streamline healthcare delivery.

Job Description

As a Data Science Director at Innovation Sprint, you will play a crucial role in unlocking insights from healthcare data. You'll be at the forefront of analyzing data captured by our platform, leveraging cutting-edge techniques to derive actionable insights and drive informed decision-making. Additionally, you'll contribute to the development and enhancement of AI functionalities within our platform, working closely with cross-functional teams to deliver innovative components that push the boundaries of Digital Therapeutic technologies.

What You’ll Do

· Drive the continuous design and development of the Behavioural Change lifecycle of Healthentia.

· Develop predictive models and machine learning algorithms to improve patient outcomes, optimize healthcare workflows, and enhance the overall performance of Healthentia platform.

· Collaborate with software engineers, clinicians, and product managers to integrate data-driven insights and AI functionalities into our SaMD.

· Analyze complex healthcare data sets to identify trends, patterns, and insights that drive strategic decision-making.

· Stay abreast of the latest advancements in data science, machine learning, and healthcare technology to continuously enhance our analytical capabilities and maintain our competitive edge.

Requirements

· Bachelor’s or Master’s degree in Bio-Engineering, Computer Science, Statistics, Mathematics, or a related field.

· Proven experience in data analysis, statistical modelling, and machine learning techniques.

· Proficiency in programming languages, such as Python, for data manipulation and analysis.

· Excellent problem-solving skills and the ability to translate complex data into actionable insights.

· Effective communication and collaboration skills, with the ability to work cross-functionally in a fast-paced startup environment.

Desired Qualifications

· Strong understanding of healthcare data standards, privacy regulations (e.g., HIPAA), and best practices for handling sensitive medical data.

· Experience working with healthcare data sets, electronic health records (EHR), or medical imaging data.

· Proficiency in Power BI.

· Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark).

· Experience deploying machine learning models into production environments.

· Passion for leveraging technology to drive positive impact in healthcare and improve patient outcomes.

Benefits

· Modern workspace environment

· Continuous training

· Personal Development

· Competitive Salary