Principal Machine Learning Engineer
Mission Lane210,000 - 256,000 USD/year
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Pharmaceuticals, Biotechnology, AI & Data ScienceIndustries
Requirements
Candidates should possess a Bachelor’s degree in a quantitative field, with a minimum of 12 years of experience (BS), 10 years of experience (MS), or 8 years of experience (PhD), and a demonstrated history of developing and delivering software products. They must have a strong work ethic, a bias for execution, and the ability to manage multiple priorities, ambiguity, and tight timelines, along with the capacity to work effectively in teams or independently.
Responsibilities
As a Principal Machine Learning Engineer, you will be responsible for productionizing prototype code, owning Valo’s clinical machine learning platform strategy and roadmap, leading the development and application of patient subgroup discovery capabilities to support target identification, deeply understanding user needs and stakeholder pain points, and leading a growing team of machine learning engineers and data scientists.
Skills
Machine Learning
Deep Learning
Data Analysis
Software Development
Team Leadership
Stakeholder Management
Prototype Production
Roadmap Development
Valo Health
Drug discovery using machine learning technology
About Valo Health
Valo Health focuses on drug discovery and development in the biopharmaceutical sector, utilizing advanced technology to create new drugs and therapies. The company employs its proprietary Opal Computational platform, which integrates machine learning, tissue biology, and patient data to streamline the drug discovery process. This platform allows Valo Health to identify potential drug candidates more quickly and accurately than traditional methods. Valo Health differentiates itself from competitors by combining technology with life sciences, fostering a collaborative culture that addresses significant challenges in drug development. The company's goal is to improve health outcomes for patients worldwide by delivering effective solutions through partnerships with pharmaceutical companies and research institutions.
Key Metrics
Boston, MassachusettsHeadquarters
2019Year Founded
$474.2MTotal Funding
LATE_VCCompany Stage
AI & Machine Learning, BiotechnologyIndustries
51-200Employees