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Physics Informed Machine Learning Jobs in Indiana

Science Teacher

Morocco, IN

$43K - $56K/yr

... physics; develops students skills and abilities in scientific methods and problem-solving, as well ... student learning. - Develops lesson plans and instructional materials for subject area, and ...

High School Science Teacher

Merrillville, IN · On-site

$47K - $61K/yr

... physics; develops students skills and abilities in scientific methods and problem-solving, as well ... student learning. - Develops lesson plans and instructional materials for subject area, and ...

High School Science Teacher

Merrillville, IN · On-site

$47K - $61K/yr

... physics; develops students skills and abilities in scientific methods and problem-solving, as well ... student learning. - Develops lesson plans and instructional materials for subject area, and ...

... machine learning, or artificial intelligence techniques. This position is also responsible for ... Education Bachelor's Degree Undergraduate degree in a field related to physics, mathematics ...

Science Teacher

Morocco, IN · On-site

$43K - $56K/yr

... physics; develops students skills and abilities in scientific methods and problem-solving, as well ... student learning. - Develops lesson plans and instructional materials for subject area, and ...

Science Teacher

Morocco, IN · On-site

$43K - $56K/yr

... physics; develops students skills and abilities in scientific methods and problem-solving, as well ... student learning. - Develops lesson plans and instructional materials for subject area, and ...

Copy Of Science Teacher

Rushville, IN · On-site

$46K - $59K/yr

... physics; develops students skills and abilities in scientific methods and problem-solving, as well ... student learning. - Develops lesson plans and instructional materials for subject area, and ...

New

Copy Of Science Teacher

Rushville, IN · On-site

$46K - $59K/yr

... physics; develops students skills and abilities in scientific methods and problem-solving, as well ... student learning. - Develops lesson plans and instructional materials for subject area, and ...

New

Science Teacher

Morocco, IN · On-site

$43K - $56K/yr

... physics; develops students skills and abilities in scientific methods and problem-solving, as well ... student learning. - Develops lesson plans and instructional materials for subject area, and ...

Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines and 3 or more years experience in ...

... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines and 3 or more years experience in ...

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Showing results 1-20

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 Indiana are hiring for Physics Informed Machine Learning jobs? Cities in Indiana with the most Physics Informed Machine Learning job openings:
Infographic showing various Physics Informed Machine Learning job openings in Indiana as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Director/Senior Director/ Executive Director: Digital Innovation & Technology Strategy - Global PK/P

Director/Senior Director/ Executive Director: Digital Innovation & Technology Strategy - Global PK/P

Eli Lilly and Company

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago


Eli Lilly and Company rating

8.8

Company rating: 8.8 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

10th of 73 rated pharmaceutical


Job description

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world.
Eli Lilly and Company is committed to using its innovation-based strategy to discover, develop and deliver innovative medicines that help improve the lives of people.
The PK/PD & Pharmacometrics organization is at a pivotal moment: we're redefining how we harness decades of clinical data and model-informed drug development approaches through strategic AI and automation adoption.
We are seeking a Digital Innovation & Technology Strategy Lead who will define and implement our multi-year roadmap for integrating artificial intelligence, machine learning, and automation technologies into our quantitative pharmacology and pharmacometric workflows. This role will help position us as an industry leader in AI-enabled drug development while ensuring scientific rigor, regulatory defensibility, and meaningful value creation.
Key responsibilities
  • Develop and implement a comprehensive digital strategy for PK/PD & Pharmacometrics, identifying and prioritizing high-impact use cases that accelerate drug development and position PK/PD as an industry leader in AI-enabled quantitative pharmacology
  • Lead PK/PD's digital strategy as the primary work with internal and external partners, managing collaborator relationships to accelerate value delivery from AI and automation investments
  • Evaluate emerging AI technologies for clinical pharmacology and pharmacometrics applications, leading proof-of-concept pilots and scaling validated solutions
  • Partner with IT, data science, and data engineering teams to implement AI solutions and establish data governance standards that ensure PK/PD data is AI-ready, accessible, compliant, and coordinated with existing systems and workflows
  • Collaborate with project leaders, pharmacometrician's, and cross-functional partners (e.g. Clinical Operations, Statistics, Regulatory Affairs) to ensure seamless AI integration across R&D and serve as the primary voice for AI strategy within PK/PD leadership and governance forums
  • Grow and implement organisational change strategies to drive AI adoption, including training programs, champion networks, and upskilling resources that address resistance and build organizational capability in AI/ML methodologies
  • Define success metrics and track value creation for digital/technology initiatives, maintaining a portfolio of use cases with clear ROI documentation and preparing executive-level cases and communications
  • Establish relationships with external partners (e.g. academic institutions, technology vendors, industry consortia, regulatory agencies) and contribute to thought leadership through publications and conference presentations, representing Lilly's vision for responsible AI adoption

MINIMUM REQUIREMENTS:
  • Master's degree in a relevant field
  • Minimum 8 years of experience in pharmaceutical R&D, with at least 2 years focused on AI/ML/digital technology applications in drug development
  • Experience in PK/PD modeling, pharmacometric workflows (e.g. population PK, exposure-response, dose optimization), and model-informed drug development principles
  • Experience implementing digital solutions in a regulated industry environment

Additional Skills/Preferences:
  • Familiarity with data architecture, cloud computing, and innovative analytics platforms
  • experience crafting compelling cases and executive-level presentations
  • Track record of external thought leadership through publications, conference presentations, or industry working groups
  • Hands-on experience with specific AI tools (e.g. Python/R/Matlab for ML, TensorFlow/PyTorch, cloud-based ML platforms)
  • Track record of successful pilot-to-production digital scaling
  • Hands on experience with PK/PD modelling and simulation and model-informed drug development

Other Considerations:
  • Location: Indianapolis, IN or Boston, MA (hybrid work model available)
  • Travel: Domestic and international travel up to 20% (conferences, vendor meetings, cross-site collaboration)
  • Work Environment: Highly collaborative, matrixed organization requiring cross-functional relationships

Innovation Culture: We encourage calculated risk-taking, rapid prototyping, and learning from failures
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is
$177,000 - $308,000
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
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About Eli Lilly

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Eli Lilly, based in Indianapolis, IN, US, is one of the pioneers in the pharmaceutical industry with a rich history dating back to 1876. This global pharmaceutical company focuses on discovering, developing, manufacturing and selling pharmaceutical products in approximately 120 countries. The company's product categories include endocrinology, oncology, cardiovascular, neuroscience, and immunology. Having invested over $9 billion in research and development in the past decade, Eli Lilly is also committed to creating high-quality medicines that meet real needs. As a recipient of several awards and recognitions, Eli Lilly is known for its focus on life-saving research and drug development. Their mission is to make medicines that help people live longer, healthier, and more active lives.

Industry

Pharmaceutical product wholesalers

Company size

10,000+ Employees

Headquarters location

Indianapolis, IN, US

Year founded

1876