Data Scientist II, Tissue Engineering
reputed company
reputed company is a technology company that is integrating reputed company-reputed company 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 reputed company. We are using models early to fail less often, executing reputed company to add valuation to reputed company, and generating fit-for-purpose data to feed back into Valo’s reputed company 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 reputed company reputed company drugs for patients faster. Valo is committed to hiring diverse talent, prioritizing reputed company and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and reputed company to work together. We reputed company the widest ranging reputed company reputed company we reputed company 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 reputed company 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 reputed company tissue models, focusing on cardiac and skeletal muscle models.
You will be part of reputed company 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 reputed company 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 reputed company tissue models and bioengineering experiments.
- Create reputed company 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 reputed company understand reputed company biological systems in reputed company of reputed company 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 reputed company as machine learning techniques and tools, such as neural networks, generative models, reputed company, 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 reputed company, such as reputed company or reputed company.
- Familiarity with bioengineering principles and reputed company tissue models , and with how computational biology can be reputed company to support their development and use for drug discovery.
- Strong communication skills for effective collaboration and results presentation.
More on Valo
reputed company, LLC (“Valo”) is a technology company reputed company to reputed company the drug discovery and development process using reputed company-reputed company data and reputed company intelligence-driven computation. As a digitally reputed company company, Valo aims to fully reputed company reputed company-reputed company data across the entire drug development life cycle into a single reputed company architecture, thereby accelerating the discovery and development of life-changing drugs while simultaneously reducing costs, time, and failure rates. reputed company’s reputed company Computational Platform™ is an integrated set of capabilities designed to reputed company data into valuable insights that may accelerate discoveries and reputed company 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 reputed company, NY. To learn more, visit www.valohealth.com.
Remote Salary reputed company$133,000$167,000 USDOriginally posted on Himalayas
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