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Physics Informed Machine Learning Jobs in Illinois

Knowledge of coding, machine learning, and artificial intelligence concepts. * Strong communication ... Imaging Physics Support: * Work closely with imaging physicists to optimize and maintain the ...

... machine learning techniques to derive forecasts that will be combined with IMC's best-in-class ... Physics, Computer Science, Financial Engineering, or similar). * Several years (5+ Years) of ...

Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ... immersive, physics-informed simulations to improve operational agility, quality, and speed to ...

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Physics Informed Machine Learning information

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 job?

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 cities in Illinois are hiring for Physics Informed Machine Learning jobs? Cities in Illinois with the most Physics Informed Machine Learning job openings:
Infographic showing various Physics Informed Machine Learning job openings in Illinois as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Lead Data Science Product Mgr

$112K - $202K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted yesterday


Job description

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers.

Join HCSC and be part of a purpose-driven company that will invest in your professional development.

Job SummaryWe are looking to hire a Lead Data Science Product Manager to join our AI Solutions team at HCSC.
At the largest customer-owned and not-for-profit health insurer and fourth largest health insurer overall in the United States, you will have the opportunity to help drive meaningful business impact using advanced AI technologies", improve our operational and member-facing processes, and affect how healthcare is delivered to our 17 million members.
An ideal candidate is someone who has a demonstrated track record of leading or delivering analytical projects and products with measurable value, can see the big picture and effectively communicate with executives, has an ability to explain complex technical concepts to non-technical audiences, and has a laser-focused customer and user-centric mindset. Day-to-day tasks include engaging senior and executive leadership to understand their most significant business challenges, designing new AI products and solutions to automate or enable better decision making to address these challenges, building long-term product roadmaps, scaling and delivering on those products by working within cross-functional data science, IT, and business teams, and providing overall product leadership for one or more of our machine learning and AI initiatives. Successful candidates will also have indirect leadership over data scientists and engineers assigned to these initiatives.

Required Job Qualifications:
* Bachelor degree and 5 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field OR Actuarial credential or Master degree and 4 years of work experience in an advanced mathematical, statistical , engineering, physics or related quantitative field OR Ph.D. and 2 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field OR 8 years of work experience in an advanced mathematical, statistical , engineering, physics or related quantitative field
* Must demonstrate proficiency in at least four of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 6) understanding of healthcare.
* Strong learning and growth mindset
* Customer-focused
* Strong interpersonal, verbal and written communication skills
* A track record of independently delivering or leading the delivery of multiple complex analytics or data science projects
Preferred Job Qualifications:

* Previous product management experience

* Experience with Generative AI and other cutting edge AI technologies (e.g., agentic AI) is strongly preferred.
* Previous experience working with insurance claims systems and/or healthcare experience
* Experience with Iterative / Agile / Scrum development

*Experience successfully implementing at-scale A.I. solutions in cloud environments

Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!

Pay Transparency Statement:

At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting https://careers.hcsc.com/totalrewards.

The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plansubject to the terms and the conditions of the plan.

HCSC Employment Statement:

We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.

Base Pay Range$112,200.00 - $202,600.00

Exact compensation may vary based on skills, experience, and location.