Data Scientist II

Summary

Join a growing in vitro modelling team at Valo Health as a data scientist, contributing to data science, tissue engineering, and drug discovery. You will advance the engineering of human tissue models, focusing on cardiac and skeletal muscle models. Responsibilities include developing computational and statistical models, machine learning tools, and optimizing in vitro analysis platforms. Collaboration with scientists and engineers is key to optimizing experiments and understanding complex biological systems. The role involves building models using large datasets to explain experimental variability and inform optimal experimental design. This position offers a chance to work in a multidisciplinary team and contribute to the development of new medicines.

Requirements

• A Ph.D. + 1-2 years of experience or Master’s degree + 3-4 years of experience, or comparable experience in a relevant computational science field (e.g., computational biology, bioengineering, biostatistics)
• Strong background in data processing and analysis
• Familiarity with statistics as well as machine learning techniques and tools, such as neural networks, generative models, ensemble learning, regression, classification, and regularization
• Proficient in Python and experience using data analysis libraries, such as Pandas, NumPy, SciPy, Scikit-learn, and TensorFlow/PyTorch
• Familiarity with version control for code, such as Gitlab or Github
• Familiarity with bioengineering principles and human tissue models , and with how computational biology can be applied to support their development and use for drug discovery
• Strong communication skills for effective collaboration and results presentation

Responsibilities

• Collaborate with biologists and computational scientists to visualize, preprocess, and analyze datasets generated from human tissue models and bioengineering experiments
• Create clear and informative data visualizations and statistical summaries to communicate findings to technical and non-technical colleagues, including collaboratively designing and building out user interfaces
• Development of predictive models and algorithms to identify factors impacting the development, manufacturing, and use of tissue models
• Work with scientists and engineers to optimize experimental conditions and model in-vitro phenotypic responses to chemical and genetic perturbations to better understand complex biological systems in pursuit of optimal drug candidates
• Build models utilizing large & diverse datasets to explain experimental variability and inform scientists how to optimize experiments and engineered tissue production using multivariate analyses, time series data processing, and other statistical and machine learning modelling

Benefits

$133,000 — $167,000 USD