The HiLabs Story

HiLabs was born in the halls of Yale University when a cardiologist and an AI expert teamed up to tackle the data quality issue in the US healthcare system. After seven years of working with some of the best data scientists in the world, HiLabs is on the cutting edge of breakthroughs in data science and AI.

HiLabs Team

• Multidisciplinary industry leaders
• Healthcare domain experts
• AI/ML and data science experts
• Professionals hailing from the worlds best universities, business schools, and engineering institutes including Harvard, Yale, Carnegie Mellon, Duke, Georgia Tech, Indian Institute of Management (IIM), and Indian Institute of Technology (IIT).

Responsibilities:

• Leveraging AI/ML techniques and solutions to identify and mathematically interpret complex healthcare problems.
• Deploy and optimize machine learning solutions on massive datasets using big data technologies.
• Develop and prototype AI algorithms and software tools.
• Implement enhancements to existing algorithmic/Machine Learning solutions.
• Conduct quantitative data analysis using a variety of datasets.
• Increase the efficiency and improve the quality of solutions offered.
• Understand business use cases andpull the necessary data from various sources to provide key insights to stakeholders.
• Build and deploy additional functionalities as per client requirements.
• Should be able to contribute to Applied ML research projects.
• Should be an end-to-end ML problem solver.
• Should have good understanding of the business needs of the project.
• Leverage recent advances in machine learning technologies and oversee the team’s training.
• Lead a team of Data Scientists, developers as well as clinicians to strategize, design and evaluate AI based solutions to healthcare problems.
• Independently own and lead a product segment or area of research in Data Science divisions.
• Take ownership of product completeness and deliveries.
• Takes initiatives in innovation and research areas of product development.

• Bachelor’s Degree/Master’s Degree in Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering or related fields from tier 1 college.
• Have 7-10 years of experience in analyzing large volumes of data and building predictive models.
• Hands-on experience in analytics techniques such as outlier detection, clustering, classification, regression, and hypothesis testing.
• Have an excellent academic background with strong hands-on knowledge of Python or Scala.
• Hands-on Software Development Skills (Scala-Preferred).
• Understands the core concepts of Machine Learning and the math behind it.
• Have good knowledge of existing ML tools and technologies.
• Know all the general best practices of Machine Learning.
• Able to understand the internals of popular ML tools and as per the need able to modify existing popular tools and algorithms as per the need.
• Experience or educational courses/projects in Machine Learning, and/or Text Mining Algorithms.
• Knowledge of statistical techniques, linear algebra, numerical optimization.
• Knowledge of ML theory such as bias variance tradeoff, regularization, loss functions and experienced in A/B testing.
• Ability to work closely with domain experts to develop tools/algorithms needed to answer research questions in their studies.
• Excellent Communication Skills (with the ability to explain developed tools and ML algorithms to a non-technical audience).
• Ability to formulate operational problems in healthcare domain as technical problems that allows for reuse of leading research in the area.
• Proven ability to work independently to learn new technologies, techniques, processes, languages, platforms, systems.
• Strong analytical, inferential, critical thinking, and creative problem-solving skills.
• Self-starter with ability to work both independently and with a team.

HiLabs Total Rewards

Competitive Salary, Accelerated Incentive Policies, H1B sponsorship, Comprehensive benefits package that includes ESOPs, financial contribution for your ongoing professional and personal development, medical coverage for you and your loved ones, 401k, PTOs & a collaborative working environment, Smart mentorship, and highly qualified multidisciplinary, incredibly talented professionals from the world’s top medical schools, business schools, & engineering institutes.

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