Full-Time

Senior Data Scientist

Confirmed live in the last 24 hours

HiLabs

HiLabs

201-500 employees

Healthcare data analytics for health plans

No salary listed

Senior

H1B Sponsorship Available

Pune, Maharashtra, India

Category
Data Science
Data Engineering
Data & Analytics
Required Skills
Agile
Python
Airflow
MySQL
Data Science
Git
Apache Spark
SQL
Machine Learning
AWS
JIRA
Scala
Jenkins
Maven
Oracle
Requirements
  • Must be well versed with Python
  • Must be well versed with Scala
  • Must be well versed with Spark
  • Must be well versed with SQL
  • Must be well versed with AWS platform
  • Bachelor's or Master’s degrees in computer science, Mathematics, or any other quantitative discipline from Premium/Tier 1 institutions
  • 5 to 7 years of experience in developing robust ETL data pipelines and implementing advanced AI/ML algorithms (GenAI is a plus)
  • Strong experience working with technologies like Python, Scala, Spark, Apache Solr, MySQL, Airflow, AWS etc.
  • Experience working with Relational databases like MySQL, SQLServer, Oracle etc.
  • Good understanding of large system architecture and design
  • Understands the core concepts of Machine Learning and the math behind it
  • Experience working in AWS/Azure cloud environment
  • Experience using Version Control tools such as Bitbucket/GIT code repository
  • Experience using tools like Maven/Jenkins, JIRA
  • Experience working in an Agile software delivery environment, with exposure to continuous integration and continuous delivery tools
  • Great collaboration and interpersonal skills
  • Ability to work with team members and lead by example in code, feature development, and knowledge sharing
Responsibilities
  • Leverage AI/ML techniques and solutions to identify and mathematically interpret complex healthcare problems
  • Full-stack development of data pipelines involving Big Data
  • Design and development of robust application/data pipelines using Python, Scala, Spark, and SQL
  • Lead a team of Data Scientists, developers as well as clinicians to strategize, design and evaluate AI based solutions to healthcare problems
  • Increase efficiency and improve the quality of solutions offered
  • Managing the complete ETL pipeline development process from conception to deployment
  • Collaborating with and guiding the team on writing, building, and deployment of data software
  • Following best design and development practices to ensure high quality code
  • Design, build and maintain efficient, secure, reusable, and reliable code
  • Perform code reviews, testing, and debugging
Desired Qualifications
  • Experience with GenAI is a plus
  • Experience using tools like Maven/Jenkins, JIRA
  • Experience working in an Agile software delivery environment
  • Great collaboration and interpersonal skills
  • Ability to work with team members and lead by example in code, feature development, and knowledge sharing

HiLabs focuses on improving healthcare by turning raw, unstructured data into useful insights for health insurance providers. Their services help health plans enhance member experiences and boost operational efficiency by converting often inaccurate data into reliable information. HiLabs offers data analytics solutions that promise immediate returns, known as Return On Intelligence (ROI). The company operates on a subscription-based model, providing customized data solutions to its clients. By addressing the need for accurate and actionable data, HiLabs stands out in the healthcare data analytics market.

Company Size

201-500

Company Stage

Series B

Total Funding

$39M

Headquarters

Baltimore, Maryland

Founded

2014

Simplify Jobs

Simplify's Take

What believers are saying

  • HiLabs raised $39 million in Series B funding for expansion and product development.
  • Partnership with CAQH enhances HiLabs' market position in provider data solutions.
  • Recognition in Gartner Hype Cycle highlights HiLabs' innovation in healthcare data management.

What critics are saying

  • Emerging AI-driven startups could threaten HiLabs' market share with competitive solutions.
  • Regulatory changes in data privacy may increase compliance costs for HiLabs.
  • Economic downturns could reduce healthcare spending on data analytics solutions.

What makes HiLabs unique

  • HiLabs specializes in AI-powered data cleansing for healthcare provider directories.
  • The company offers subscription-based services for customized data solutions.
  • HiLabs integrates healthcare domain knowledge with data science tools for actionable insights.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Paid Vacation

Employee Stock Purchase Plan

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

-6%

1 year growth

11%

2 year growth

13%
PR Newswire
Nov 12th, 2024
Caqh And Hilabs Partner To Deliver Industry Leading Provider Data Solutions

Revolutionizing healthcare provider data with AI-powered accuracyWASHINGTON, Nov. 12, 2024 /PRNewswire/ -- CAQH, the leader in healthcare data management and HiLabs, a pioneer in cutting edge, AI-powered solutions, announce a transformative new partnership. This collaboration reflects CAQH's ongoing commitment to bringing stakeholders together to solve healthcare's toughest data challenges and HiLabs' mission to transform healthcare by cleaning data to unlock its hidden potential. CAQH and HiLabs have also agreed to exclusively go-to-market with an integrated data cleansing solution for provider data. By offering healthcare organizations clean, high-quality provider data, the partnership will improve consumer-facing provider directories, while enhancing overall healthcare operations and access to care

PR Newswire
Aug 15th, 2024
Hilabs Recognized In Three Categories In The 2024 Gartner® Hype Cycle™ For Us Healthcare Payers

BETHESDA, Md., Aug. 15, 2024 /PRNewswire/ -- HiLabs announced today that it was recognized in the 2024 Gartner® Hype Cycle™ for US Healthcare Payers. HiLabs was mentioned in three categories:Provider/Partner Network Management Platforms Provider Data Management LLMs for Healthcare PayersHiLabs believes that recognition in these three categories showcases how the universe of provider data management is evolving."AI is creating efficiencies for payers that were previously unattainable," says Amit Garg, HiLabs CEO and Co-founder. "When rosters become fully automated, and directory accuracy improves, it opens up a world of possibilities."In addition to cost savings, Garg also credits new advancements in AI technology, such as specialized large language models (LLMS), for increased innovation in the field.These advancements in provider data management capabilities come at a time when ghost networks created by provider directory inaccuracies are under increased public scrutiny. Given their impact on patient access to care, payers, providers, and regulators are actively working to fix them.Garg believes that HiLabs' inclusion in the 2024 Gartner® Hype Cycle™ for US Healthcare Payers highlights the new possibilities of AI technology in solving the provider data problem."The need for new solutions to help providers, payers, and regulators address the ghost network problem has existed for years. What changed is that we now have the ability to create these solutions," says Garg.Download the 2024 Gartner® Hype Cycle™ for US Healthcare Payers here.Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation

Hit Consultant
Jul 18th, 2024
Inaccurate Provider Directories: A Major Headache For Patients And Policymakers, Hilabs’ Ai Study Reveals

What You Should Know:– Incorrect data in health plan physician directories is a pervasive problem, according to new research conducted by researchers at University of Colorado and HiLabs.– The study, published in BMC Health Services Research, leverages HiLabs AI algorithms to compare data for >40% of US physicians across five large health plan directories.Key Findings:Limited variation in data quality between insurers suggests the issue goes beyond individual insurer practices.Physician practices, burdened with updating information across multiple platforms, contribute to the problem.Specialties like primary care and dermatology have higher data accuracy, potentially due to greater patient interaction.Considerable variation exists between states, with reasons unclear and requiring further investigation.The Impact:Patients can face delays in care due to incorrect contact information.Surprise billing can occur if a network-listed provider is out-of-network.Consumers struggle to compare health plans based on inaccurate provider listings.Proposed Solutions:Centralized Directory: The Centers for Medicare and Medicaid Services’ proposal for a unified national directory is an option, but challenges exist, including ensuring accuracy and requiring a major shift in data exchange practices.The Centers for Medicare and Medicaid Services’ proposal for a unified national directory is an option, but challenges exist, including ensuring accuracy and requiring a major shift in data exchange practices. National Standards: Establishing national standards for how provider information is exchanged could be a less disruptive solution.Establishing national standards for how provider information is exchanged could be a less disruptive solution. Engaging Physician Groups: Future policy solutions should involve both insurers and physician groups to improve data accuracy.International Comparisons:Many countries have centralized directories, but inaccuracies have been documented even in government-run systems.Australia’s recent launch of Provider Connect Australia (PCA) is a model to watch for its potential to improve data quality and access.The Takeaway:Inaccurate provider directories are a major problem in the US healthcare system. Novel policy solutions are needed to address this issue and ensure patients have reliable information to access the care they need.“We are proud to collaborate with University of Colorado researchers to use our AI for this important study,” said Amit Garg, CEO of HiLabs. “At HiLabs, we have seen tremendous interest from health plans in using AI algorithms to uncover provider directory inaccuracies in recent years and have seen substantial improvements in directory accuracy as a result.”For further information and to access the full study, please visit https://doi.org/10.1186/s12913-024-11269-5

PR Newswire
Jun 27th, 2024
Hilabs Study Featured In Medpac June 2024 Report To Congress Highlights Alarming Inconsistencies In Provider Directories

BETHESDA, Md., June 27, 2024 /PRNewswire/ -- HiLabs, a leader in AI-powered solutions for healthcare data management, is proud to announce that a study utilizing HiLabs technology and conducted by its Chief Medical Officer, Dr. Neel Butala, has been prominently featured in the Medicare Payment Advisory Commission's June report to Congress in its discussion of Medicare Advantage Provider Networks. The Medicare Payment Advisory Commission (MedPAC) is an independent congressional agency that advises the U.S. Congress on the Medicare program.The HiLabs study, initially published in the Journal of the American Medical Association (JAMA), highlights significant discrepancies in provider directories, raising concerns about the impact on patients' access to timely care. The study examined data from 449,282 U.S. physicians and found that 81% of provider entries had inconsistencies across five major health plans

Intelligence360
Apr 12th, 2024
Hilabs Has Raised $39,000,000.00 In Series B Funding.

HiLabs has raised $39,000,000.00 in Series B Funding. HiLabs has raised $39,000,000.00 in Series B Funding.HiLabs has raised $39,000,000.00 in new funding. Sources indicate that as part of senior management Chief Executive Officer, Amit Garg played a key role in securing the recent investment and it will aid in aggressively expanding the company, as well as broaden and accelerate product development.About HiLabsThe HiLabs leadership team is a group of multidisciplinary visionary industry leaders and professionals with extensive healthcare domain knowledge, experience, and acumen. They come from some of the world’s best universities, business schools, and engineering institutes including Harvard, Yale, Duke, Carnegie Mellon, Georgia Tech, Indian Institute of Management (IIM), and Indian Institute of Technology (IIT).To learn more about HiLabs, visit http://www.hilabs.com/Contact:Amit Garg, Chief Executive Officer301-841-8080https://www.linkedin.com/in/connectamitgarg/SOURCE: http://www.intelligence360.ioCopyright (c) 2024 SI360 Inc. All rights reserved