Data Scientist II, Tissue Engineering

About Us

Valo Health is a technology company that is integrating human-centric data and AI-powered technology to accelerate the creation of life-changing drugs for more patients faster. Valo was created with the belief that the drug discovery and development process can and should be faster and less expensive, with a much higher probability of success. We are using models early to fail less often, executing clinical trials to add valuation to the company, and generating fit-for-purpose data to feed back into Valo’s Opal Computational Platform™ as we reinvent drug discovery and development from the ground up. Disease doesn’t wait, so neither can we.

We are a multi-disciplinary team of experts in science, technology, and pharmaceuticals united in our mission to achieve better drugs for patients faster. Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We achieve the widest ranging impact when we leverage our broad backgrounds and perspectives to accelerate a new frontier in health. Valo seeks to become the catalyst for the pharmaceutical industry and drive the digital transformation of the industry. Are you ready to join us?

About the Role

Join a growing in vitro modelling team as a data scientist supporting our efforts in data science, tissue engineering, and drug discovery. As a data scientist you will use your skills and experience to advance the engineering of human tissue models, focusing on cardiac and skeletal muscle models.

You will be part of a team responsible for developing and building computational models, engineered tissue assays, statistical models, and machine learning based tools for use throughout our drug discovery pipeline. A major focus will be on optimizing our in vitro analysis platforms and experimentation.

Successful candidates will work with a diverse set of scientists, engineers, and domain experts in ways that cut across traditional industry boundaries, building powerful computational tools to advance the discovery and development of new medicines.

What you’ll do...

• 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.

What you bring...

• 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.

More on Valo

Valo Health, LLC (“Valo”) is a technology company built to transform the drug discovery and development process using human-centric data and artificial intelligence-driven computation. As a digitally native company, Valo aims to fully integrate human-centric data across the entire drug development life cycle into a single unified architecture, thereby accelerating the discovery and development of life-changing drugs while simultaneously reducing costs, time, and failure rates. The company’s Opal Computational Platform™ is an integrated set of capabilities designed to transform data into valuable insights that may accelerate discoveries and enable Valo to advance a robust pipeline of programs across cardiovascular metabolic renal, oncology, and neurodegenerative diseases. Founded by Flagship Pioneering and headquartered in Lexington, MA, Valo also has offices in New York, NY. To learn more, visit www.valohealth.com.

Originally posted on Himalayas