Machine Learning Data Scientist

H1 H1 is creating a healthier future by delivering a platform that connects stakeholders across the healthcare ecosystem for greater collaboration and discovery. We are ranked as yCombinators Top companies in 2021 and recently received $57M Series B funding (Crunchbase: H1 Closes On $58M Series B). As you could imagine our H1 team is growing quickly! 
About the Data Science & Machine Learning OrganizationThe H1 Platform features the world’s largest healthcare database with more than 10M HCPs and 16K Healthcare Organizations, 160 million peer-reviewed publications,350,000 clinical trials, 2 billion procedures, 3 billion diagnoses, and 700 medical societies, covering over 67 countries and 35 languages, all updated frequently.
Our AI (including machine learning and natural language processing) teams sit at the epicenter of our H1’s data platform and products. While H1 has teams collecting, curating, and normalizing data from hundreds of disparate sources from around the globe, it is the AI teams that are responsible for developing a comprehensive information organization and insights discovery process to power our products. Our organization is also responsible for building processes and infrastructure to both do ML at scale and leverage it to speed up the turn-around time for ML algorithms that automate knowledge discovery.
The RoleAs an ML scientist, you will work on utilizing and/or developing advanced ML techniques to solve challenging business problems in various areas including entity matching, natural language understanding, knowledge graphs, and information systems. Research scientists and engineers will also design novel experiments and create implementations to enable model integration into the production stack. Seniority will be commensurate with experience and accomplishments.

Responsibilities

• Develop AI/machine learning solutions to address both immediate needs and long-term strategic opportunities
• Build novel machine learning/AI algorithms to develop differentiating IP Build quick Proof of Concepts (POC) and take ownership around projects to demonstrate utilization, value and lead to scalable solutions
• Stay up to date on developments in the field and propose long-term capability buildup
• Collaborate with other groups within H1 while maintaining clear differentiation and value in our specific offerings and leading the path of innovative value-driven AI solutions
• Leverage experience with systems and application development to realize ML capabilities to help build scalable, robust, resilient, automated processes

Requirements

• PhD in Computer Science, Electrical Engineering, statistics or related quantitative discipline with a focus on Machine Learning/AI/data mining or related areas with 3+ years of experience
• Strong background in two or more of the following areas: machine learning/AI algorithms, data mining, computational/statistical learning theory, scalable systems (e.g. Spark), large-scale data analysis, optimization, functional analysis, and deep learning.
• Strong publication record in top conferences and journals preferred
• Experience in applying ML to one or more of the following areas: entity matching, knowledge graphs, text analytics/NLP, information architecture (taxonomies, ontologies)
• A demonstrable track record of developing novel algorithms, solutions, and delivered/deployed projects in the area preferred.
• Experience in ML and deep learning frameworks (e.g., MLLib, sklearn, Tensorflow, MxNet), and large-scale optimization preferred.
• Hands on coding with Python, C/C++, Scala, or any proficient ML language of choice
• A collaborative team player with a passion to transform healthcare for the better using AI and Machine Learning.

Benefits & Perks

• Health Insurance (Medical and Dental)
• Unlimited Vacation/Paid Time Off
• Flexible Work Hours 
• Computer Setup
• Commuter Benefits  
• Stock Options

Founded in 2017, H1 is a global healthcare technology company that brings data to the pharmaceutical industry. We use technology and design to bring our clients action-driven content, which provides comprehensive and strategic insights to drive decision-making. We believe in taking risks and challenging the status quo by continuously innovating and improving. Our team is made up of passionate engineers, scientists, designers, and more that work together to make the impossible, possible.
Headquartered in New York City, with offices in India (and post-pandemic - Singapore, Europe (location TBD), Boston, and San Francisco), H1 is changing the way Healthcare professionals connect. We’ve been named one of Forbes Best Startup Employers -2021. Visit h1insights.com to learn more about us.