Data scientist consultant

chAIron is dynamic HealthTech start-up committed to revolutionizing drug development through technology. Our mission is to harness the power of data to generate actionable healthcare insights that improve decision-making in the biotechnology field.

We are seeking a highly skilled and motivated Data Scientist for a consulting position, focusing on the application of Machine Learning (ML) and Deep Learning (DL) techniques to Electronic Health Records (EHR) datasets. This is a unique opportunity for a doctoral or postdoctoral researcher passionate about healthcare innovation to contribute to meaningful proof of concept projects in a fast-paced, entrepreneurial environment.

Duration: 3-6 months consulting, 10-12 hrs/week

Location: Remote

Key Responsibilities

• Develop and implement advanced machine learning models on EHR datasets to extract insights relevant to patient care and outcomes.
• Apply deep learning techniques to analyse complex healthcare data, identifying patterns and trends that can inform decision-making and policy.
• Work closely with our product development team for proof-of-concept (PoC) integration of AI-driven analytics into our healthtech solutions.
• Ensure the delivery of a high-quality data science pipeline within project timelines, contributing to the overall PoC success.
• Independently identify research opportunities and challenges, proposing innovative solutions to complex problems in healthcare data analysis.

Required Qualifications and Experience

• PhD in Computer Science, Data Science, Biostatistics, or a related field, focusing on healthcare data analysis. Postdoctoral researchers are highly encouraged to apply.
• Demonstrated experience in applying ML and DL methodologies to EHR datasets, with a portfolio of projects that have led to healthcare insights.
• Proficiency in programming languages and tools essential for data science (e.g., Python, R, TensorFlow, PyTorch).
• Strong understanding of the healthcare industry, particularly in the context of RWD, data aggregation, EHR, and data processing.
• Proven ability to work independently, with a delivery-focused attitude and exceptional problem-solving skills.
• Excellent communication and collaboration skills, with the ability to work effectively in a remote team environment.

How to Apply

Please click here to submit your CV, a cover letter explaining your interest and fit for the role, and a portfolio of relevant projects. In your application, highlight your experience with EHR datasets and specific machine learning methodologies you have applied in healthcare contexts.