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Physics Informed Machine Learning Jobs in Johnstown, PA

Assists the radiation physicist/dosimetrist with non-complicated procedures. Why join us ... Ongoing learning and career advancement opportunities. What we're looking for * Applicants should ...

Assists the radiation physicist/dosimetrist with non-complicated procedures. Why join us We believe ... Ongoing learning and career advancement opportunities. What we're looking for Applicants should ...

Assists the radiation physicist/dosimetrist with non-complicated procedures. Why join us We believe ... Ongoing learning and career advancement opportunities. What we're looking for Applicants should ...

Physics Informed Machine Learning information

See Johnstown, PA salary details

$5

$19

$25

How much do physics informed machine learning jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for physics informed machine learning in Johnstown, PA is $19.81, according to ZipRecruiter salary data. Most workers in this role earn between $12.36 and $25.14 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the physics informed machine learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in physics informed machine learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What is a physics informed machine learning?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What job categories do people searching Physics Informed Machine Learning jobs in Johnstown, PA look for?

The top searched job categories for Physics Informed Machine Learning jobs in Johnstown, PA are:

What cities near Johnstown, PA are hiring for Physics Informed Machine Learning jobs?

Cities near Johnstown, PA with the most Physics Informed Machine Learning job openings:

Lead Director, Medicare Advantage and Group ACA Risk Adjustment Informatics

Hispanic Alliance for Career Enhancement

Indiana, PA • On-site

$100 - $232/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary

Revenue Integrity Informatics is seeking a Lead Director, Informatics to lead Medicare Advantage and ACA risk adjustment analytics, predictive modeling, intervention strategy, and financial valuations. This role is responsible for driving risk score accuracy and completeness, ensuring regulatory compliance, and delivering actionable data-informed opportunities. The role is highly visible within the enterprise and will be a key contributor to strategic decision-making with senior management.

This role may sit anywhere in the US.

Key ResponsibilitiesRisk Adjustment & Business Performance
  • Lead enterprise risk adjustment analytics supporting risk score completeness, accuracy, engagement, recapture, and algorithms.
  • Leverage claims and clinical data for deep learning into drivers of performance and model impacts.
  • Proactively engage with stakeholders on emerging trends, rising risk, and data-driven opportunities
  • Oversee the analytics that drive risk adjustment intervention activities, including prospective and retrospective programs.
  • Directs the prioritization and performance evaluation of outreach, engagement, and clinical documentation initiatives.
Predictive Analytics, AI & Innovation
  • Lead the development and implementation of advanced predictive analytics and AI solutions to support risk adjustment, population health, and business performance initiatives.
  • Drive innovation through automation, advanced analytics, and emerging technologies that improve efficiency and scalability
  • Measure and evaluate intervention effectiveness and overall business impact
  • Translate complex analytical findings into practical recommendations that improve operational, clinical, and financial outcomes.
  • Partner with technology and data engineering teams to enhance data architecture, automation, and analytics capabilities.
Strategic Leadership & Partnerships
  • Partner with executive leadership, market leaders, finance, actuarial, service operations, and clinical teams to support strategic planning and performance improvement efforts.
  • Provide executive-level presentations and recommendations that influence organizational strategy and investment decisions.
  • Manage data relationships with external vendors and business partners
Compliance & Regulatory Support
  • Ensure adherence to CMS regulations, data governance policies, and organizational compliance expectations.
  • Lead analytical support for compliance reviews and risk adjustment governance activities
  • Establish and maintain controls that promote data integrity, auditability, transparency, and accuracy.
  • Monitor regulatory and industry changes, assess business impact, and ensure timely implementation of required analytic and reporting enhancements.
People Leadership
  • Lead, mentor, and develop a high-performing team of leaders and individual contributors across analytics, informatics, data science, and related disciplines.
  • Foster a culture of collaboration, innovation, continuous improvement, and results-oriented execution.
  • Champion technical excellence and continuous learning in areas including risk adjustment analytics, AI modeling, SQL, SAS, Python, BigQuery, and similar
Required Qualifications
  • 10+ years of experience in healthcare analytics, informatics, risk adjustment, actuarial, finance, data science, or related disciplines.
  • 2+ years of leadership experience (direct reports, team lead).
  • Advanced technical proficiency in SQL, SAS, Python, BigQuery, or similar
  • Experience with predictive analytics, machine learning, financial modeling, or data science concepts
  • Demonstrated ability to influence leadership and deliver measurable business results.
Preferred Qualifications
  • Demonstrated knowledge of Medicare, Medicaid, or ACA risk adjustment methodologies, HCC models, healthcare claims and clinical data, and CMS regulatory requirements.
  • Experience at a health plan or provider system
Education:
  • Bachelor's degree or equivalent professional work experience
  • Master's degree in Business, Informatics, Analytics, Finance, Statistics, Computer Science, Public Health, Healthcare analytics, Actuarial, Mathematics, Economics, or equivalent combination of advanced education, professional certification, or demonstrated subject matter expertise preferred
Pay Range

The typical pay range for this role is:

$100,000.00 - $231,540.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 09/06/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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