Job Description

Job Title : Data Scientist with Longitudinal and Healthcare Experience
Job Type : 6+ month Contract to Hire
Location : Remote



Company Overview:

bout BigRio:
BigRio is a remote-based, technology consulting firm with headquarters in Boston, MA. We deliver software solutions ranging from: custom development, software implementation, data analytics, and machine learning/AI integrations. We are a one-stop shop that attracts clients from a variety of industries because of our proven ability to deliver cutting-edge and cost-conscious software solutions.



Position Overview:
s a Data Scientist specializing in Longitudinal and Healthcare data, you will play a pivotal role in building sophisticated risk models that utilize signals derived from our extensive dataset. The successful candidate will initially be engaged on a contract basis, with the potential to transition into a Full-Time Employment (FTE) role based on performance and business needs.



Responsibilities:

• Develop and implement advanced machine learning models for risk assessment using 30 years of longitudinal data.
• Utilize your expertise in Longitudinal and Healthcare data to uncover valuable insights and patterns.
• Work closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• pply data engineering skills to preprocess and clean large datasets for analysis.
• Utilize Google Cloud Platform (GCP) and data cloud technologies to manage and analyze data at scale.
• Read and interpret longitudinal, multi-module data, and demonstrate proficiency in handling diverse data types, including processing images and X-rays.
• Tune and optimize Longitudinal Latent Modeling (LLM) to enhance model performance.
• Collaborate with stakeholders to integrate machine learning models into the underwriting process.
• Stay abreast of industry trends, emerging technologies, and best practices in data science and healthcare analytics.

Qualifications:

• Proven experience in working with longitudinal data and healthcare analytics.
• Strong background in data engineering, GCP, and data cloud technologies.
• Proficiency in handling diverse data types, including images, X-rays, and multi-module data.
• Extensive experience in machine learning and model tuning, specifically with Longitudinal Latent Modeling (LLM).
• Excellent communication skills and the ability to collaborate with cross-functional teams.
• dept at translating business requirements into actionable insights and data-driven solutions.

Education and Experience:

• Master's or Ph.D. in a relevant field (Computer Science, Statistics, Data Science, etc.).
• Minimum of 10 years of experience in data science, with a focus on longitudinal data and healthcare analytics.

If you are passionate about leveraging data to drive innovation in the underwriting space and possess the required skills and experience, we invite you to apply for this exciting opportunity. Join us in transforming the landscape of risk assessment in healthcare with your expertise in data science and healthcare analytics.

Job Tags

Full time, Contract work, Remote work

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