Data Scientist II, Tissue Engineering

Related keywords: data scientist remote jobremote job massachusettsdata science remote job

This page contains product affiliate links.

Company Overview

Valo Health is a technology company dedicated to integrating human-centric data and AI-powered technology to accelerate the development of life-changing drugs. Founded by Flagship Pioneering, the company is headquartered in Lexington, Massachusetts, with additional offices in New York City. Valo’s mission focuses on transforming the drug discovery and development process, making it faster, less expensive, and improving the probability of success through advanced technologies and methodologies. They are known for their Opal Computational Platform™, designed to streamline the data lifecycle in drug development, significantly reducing time, costs, and failure rates.

Job Role

The position available is for a Data Scientist II, specifically tailored for candidates with an interest in tissue engineering and drug discovery. This role is vital as it connects efforts across various teams, including data science, tissue engineering, and drug discovery. A successful applicant will play a crucial part in engineering human tissue models, particularly focused on cardiac and skeletal muscle models. The role involves developing computational models, engineered tissue assays, statistical models, computer vision software, and machine learning-based tools used throughout the drug discovery pipeline.

Key Responsibilities

Applicants should expect a variety of responsibilities, including:

• Data capture and processing:

  • Managing data pipelines, metadata capture, and provenance.
  • Processing imaging and time series data.

• Data exploration and analysis:

  • Collaborating with biologists and computational scientists to visualize and analyze large datasets related to human tissue models.
  • Creating informative data visualizations to summarize findings.
  • Implementing rigorous validation procedures to ensure data reliability.

• Experimental design:

  • Assisting in experiment planning to optimize data collection for analyses.

• Machine Learning and Modeling:

  • Developing predictive models to identify influential factors in tissue development.
  • Optimizing experimental conditions and modeling responses to chemical and genetic changes.

Required Skills and Qualifications

To be eligible for this role, candidates should possess:

• A Ph.D., or a Master’s degree with 2-3 years of experience, or a Bachelor's degree with 3-4 years of relevant experience in computational science (preferably in areas like computational biology, bioengineering, or biostatistics).
• Strong programming skills in Python, with proficiency in data analysis libraries and SQL for database management.
• Expertise in data analysis and statistics, along with a good understanding of computer vision and machine learning techniques.
• Familiarity with bioengineering principles and human tissue models, particularly in the cardiovascular, metabolic, renal, and immune systems, is advantageous.
• Excellent critical thinking and problem-solving skills are essential, along with strong communication abilities.
• Candidates should be familiar with cloud environments (AWS, GCP) and best practices related to data and data science.

Salary Information

Valo Health offers a competitive salary range for this position. The expected salary is between $133,000 and $167,000 USD per year, reflecting the significance of this role in their overall mission.

Work Environment and Culture

Valo Health promotes a diverse and inclusive work environment, believing that a broad range of experiences, backgrounds, and perspectives ultimately leads to impactful outcomes in their mission to improve healthcare. The company actively prioritizes growth and development, ensuring that employees have opportunities to develop their skills, collaborate across disciplines, and contribute to advancements in drug discovery. The culture is anchored in teamwork, innovation, and the shared objective of creating better healthcare solutions for patients worldwide.

Conclusion

For job seekers aspiring to make meaningful contributions in the field of data science and drug development, this role offers an exciting opportunity to work within a cutting-edge organization like Valo Health. With a strong foundation in technology and a commitment to improving patient outcomes, Valo represents a promising environment for career development and professional growth.

This job offer was originally published on himalayas.app