Senior Data Scientist

Careaccess; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Paid time off

Medical, dental & vision

HSA and FSA

401(k) with company match

Remote work within the US

Job summary

Careaccess is seeking an experienced data scientist to develop statistical and ML solutions for clinical trial recruitment, enrollment planning, and operations. You will collaborate with engineering and product teams in a regulated healthcare data environment to deliver scalable analytics and production-ready models.

The role emphasizes forecasting, patient matching, and privacy-by-design analytics, with remote work within the United States and a generous benefits package.

Qualifications

• 5+ years hands-on data science or analytics experience, preferably in healthcare or regulated settings.
• Strong statistical modeling and ML skills, including Bayesian methods, regression or time-series forecasting.
• Advanced Python and SQL skills with ML libraries and data transformation workflows.
• Experience with cloud analytics and ML infrastructure (AWS services).
• Ability to assess model performance and bias and communicate across disciplines.
• Experience handling sensitive data under HIPAA or GDPR.

Responsibilities

• Build and improve forecasts for site randomization and enrollment trends to plan trial resources.
• Develop patient matching or ranking approaches to identify suitable trials and support recruitment.
• Create predictive models using Bayesian methods, regression, and time-series forecasting.
• Monitor deployed models for performance changes and bias, ensuring fair, reliable results.
• Build and optimize data pipelines and analytics workflows using cloud analytics and ML services.
• Collaborate with ML engineers, product managers, and other stakeholders to integrate models and share findings.
• Apply privacy requirements throughout data preparation, model development, and analysis.

Skills

Statistical modeling

Machine learning

Bayesian methods

Time-series forecasting

Python

SQL

Tools

Python

SQL

AWS SageMaker

AWS Redshift

AWS Athena

Job description

Role overview

Develop statistical and machine learning solutions that support clinical trial recruitment, enrollment planning, and trial operations. The work spans model development, production monitoring, analytics infrastructure, and close collaboration with engineering and product partners in a regulated healthcare data environment.

Responsibilities

• Build and improve forecasts for site randomization and enrollment trends to help plan trial resources.
• Develop patient matching or ranking approaches that help identify suitable clinical trials and support recruitment.
• Create predictive models using methods such as Bayesian inference, regression, and time-series forecasting.
• Monitor deployed models for performance changes and bias, and help maintain fair, reliable results.
• Build and optimize data pipelines and analytical workflows using cloud analytics and machine learning services.
• Work with machine learning engineers, product managers, and other stakeholders to integrate models and communicate findings.
• Apply privacy requirements throughout data preparation, model development, and analysis.

Requirements

• At least 5 years of hands‑on data science or analytics experience, preferably in healthcare, clinical research, or another regulated setting.
• Strong statistical modeling and machine learning skills, including Bayesian methods, regression, or time-series forecasting.
• Advanced Python and SQL skills, with experience in common machine learning libraries and data transformation workflows.
• Experience with cloud analytics and machine learning infrastructure; the source names AWS services including Athena, Redshift, and SageMaker.
• Ability to assess model performance and bias and to communicate effectively across disciplines.
• Experience handling sensitive data under privacy rules such as HIPAA or GDPR.

Benefits and work setup

• Remote within the United States, with less than 10% travel and occasional planned trips.
• Expected annual pay range: $140,000–$190,000 for full-time team members.
• Benefits include paid time off and holidays, employer‑paid medical, dental, and vision plan options, HSA and FSA accounts, short- and long-term disability coverage, and a 401(k) with company match.