Data Scientist

Description

We are seeking an innovative Data Scientist with a strong background in deep learning to join our multidisciplinary team of bioinformaticians, biologists,

statisticians, and machine learning engineers.

In this role, you will lead efforts to develop cutting-edge algorithms and tools that unlock insights from complex biological and clinical datasets, contributing to advancements in understanding disease mechanisms and improving healthcare outcomes.

This role combines a focus on research, algorithm development, and real-world applications to address challenges across a wide range of diseases.

Responsibilities

• Develop and implement deep learning algorithms to analyze high-dimensional molecular and clinical datasets.
• Collaborate with biologists and bioinformaticians to uncover insights into disease mechanisms and progression.
• Drive innovation by exploring data-driven approaches to solve diverse challenges across various diseases.
• Contribute to building predictive models and tools that support evidence-based decision-making in biomedical research.
• Lead or contribute to the integration of deep learning techniques into the team's analytical pipeline.

Requirements

• Ph.D. or Master’s degree in Computer Science, Data Science, Computational Biology, Bioinformatics, or a related field.
• 3+ years of experience applying deep learning to real-world problems, preferably in life sciences or healthcare.
• Proven experience in deep learning algorithms and techniques 
• Strong programming skills in Python and R: Python: Pandas, Numpy, SciPy, PyTorch, etc; R: dplyr, caret, xgboost, Bioconductor, etc 
• Experience working with biological or clinical datasets is a plus.
• Experience in model development, validation, and deployment. 
• Experience with version control systems (Git) 
• Ability to work effectively in a multidisciplinary setting, communicating and collaborating with biology, statistics, and ML engineering experts.
• Passion for leveraging data science to advance our understanding of human health and disease.
• Excellent problem-solving and communication skills. 
• Team player and ability to work in a multi-disciplinary work environment.  

Advantages