Healthcare Statistical Data Scientist

Overview

SmartLight Analytics is actively seeking a Machine Learning Data Scientist who possesses a profound understanding of healthcare claims data. The primary goal of this position is to design, build, and implement advanced analytics and machine learning modeling solutions that can transform complex healthcare datasets into valuable insights aimed at enhancing cost efficiency, care quality, and operational performance across the healthcare sector.

Key Responsibilities

In this role, you will be responsible for several duties that require a mix of analytical and collaborative skills. Key responsibilities include:

• Machine Learning & Advanced Analytics: Your task will be to develop, train, and deploy machine learning models applicable to various use cases such as claims cost prediction, fraud detection, risk adjustment, and provider performance optimization. You will employ modern machine learning techniques like gradient boosting, deep learning, NLP, and probabilistic modeling to achieve these objectives.

• Healthcare Claims Expertise: Analyzing and interpreting medical, pharmacy, and dental claims is essential for this role. Understanding coding systems such as CPT/HCPCS, ICD-10, DRG, and NDC will help you translate domain knowledge into actionable insights and model strategies.

• Cross-Functional Collaboration: You will partner with clinicians, product managers, and business stakeholders to define problems and measure outcomes effectively. Your role will also require you to communicate complex analytical findings clearly and in actionable terms.

Required Qualifications

To be considered for this position, candidates must meet specific qualifications:

• Strong proficiency in Python and machine learning libraries such as scikit-learn, XGBoost, and TensorFlow/PyTorch.
• Hands-on experience analyzing healthcare claims datasets and coding systems.
• A solid grasp of statistical modeling, machine learning algorithms, and data mining techniques.
• Strong SQL skills for managing and manipulating data effectively.
• Proven ability to translate complex business needs into tailored analytical solutions.
• Demonstrated problem-solving capabilities with minimal direction.

Preferred Qualifications

While the required qualifications are significant, certain preferred qualifications can give candidates an added edge:

• Experience with Natural Language Processing (NLP) focused on clinical notes or unstructured healthcare data.
• Familiarity with actuarial concepts, risk scoring, or value-based care models.
• Experience in deploying models into production settings, including MLOps and CI/CD pipelines.
• A background in health economics, epidemiology, or biostatistics can also be advantageous.
• Prior engagement with interoperability standards such as FHIR and HL7 would be beneficial.

Company Background

SmartLight Analytics is a company formed by individuals with extensive industry experience who are committed to making a significant impact on the rising costs of healthcare. Their mission revolves around combating fraud, waste, and abuse within healthcare systems by employing proprietary data analysis and model development strategies. SmartLight Analytics strives to achieve meaningful cost reductions with minimal employer involvement, promoting schemes that save money while preserving employee benefits and avoiding the necessity for behavior change.

Skills and Experience Summary

The ideal candidate for this position should have a strong foundation in analytics, healthcare knowledge, and machine learning. Familiarity with healthcare datasets combined with coding skills in Python places candidates in an excellent position to be impactful in their role. Additionally, the ability to convey complex data-driven insights in a straightforward manner will set top candidates apart in the selection process. Experience in applying modern analytical techniques will be beneficial to enhance data worth and improve healthcare operations.

Salary and Employment Details

While the specifics regarding salary are not provided in the job listing, candidates can generally expect competitive remuneration in line with their expertise, responsibilities, and the healthcare data science landscape. This is a full-time position restricted to candidates based in the United States. As such, the role promotes a remote working arrangement, allowing for flexibility in terms of scheduling and work location, which can be particularly appealing in today’s evolving job market focused on work-life balance and employee welfare.

Conclusion

In summary, the role of a Healthcare Statistical Data Scientist at SmartLight Analytics offers a robust opportunity for those with the requisite skills in data science applied within the healthcare field. With a focus on machine learning and advanced analytics, candidates with healthcare claims expertise and collaborative skills can drive significant improvements in operational efficiency and cost management in healthcare settings. The position not only demands technical prowess but also emphasizes the need for effective communication among cross-functional teams, making it an exciting opportunity for the right candidate.

This job offer was originally published on himalayas.app