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Mri Python Jobs in Indiana (NOW HIRING)

Mri Python information

What is an MRI Python developer?

An MRI Python developer is a professional who specializes in using the Python programming language to work with Magnetic Resonance Imaging (MRI) data. They typically develop software tools and scripts for processing, analyzing, and visualizing MRI scans, often for research, medical imaging, or diagnostic purposes. Their work may involve using specialized Python libraries such as NiBabel, Nipype, or PyTorch for image analysis and machine learning applications in neuroimaging or radiology. MRI Python developers often collaborate with researchers, radiologists, and data scientists to facilitate the interpretation of complex imaging data.

How does an MRI Python developer typically collaborate with radiologists and data scientists in a healthcare setting?

MRI Python developers often work closely with radiologists and data scientists to design, implement, and optimize software tools for processing and analyzing MRI images. Collaboration involves translating clinical needs into technical requirements, developing image processing pipelines, and ensuring data integrity and compliance with healthcare standards. Regular meetings and code reviews help align software solutions with research and diagnostic goals, fostering a multidisciplinary environment that advances both technical and clinical outcomes.

What are the key skills and qualifications needed to thrive as an MRI Python developer, and why are they important?

To thrive as an MRI Python developer, you need a strong background in Python programming, image processing, and a solid understanding of MRI physics or medical imaging concepts, typically supported by a degree in computer science, biomedical engineering, or a related field. Familiarity with technical tools such as NumPy, SciPy, NiBabel, and specialized MRI analysis packages like FSL or SPM, as well as experience with data visualization and version control systems, is highly valuable. Attention to detail, problem-solving abilities, and effective communication skills are crucial soft skills for collaborating with multidisciplinary teams and interpreting complex data. These combined skills ensure the development of accurate, efficient software solutions for advanced MRI data analysis and contribute to high-quality research or clinical outcomes.

What is the difference between Mri Python vs Mri Technician?

AspectMri PythonMri Technician
Required CredentialsProgramming skills, certifications in Python, possibly healthcare ITRadiologic technologist certification, ARRT registration
Work EnvironmentSoftware development, healthcare IT settings, research labsHospitals, imaging centers, clinics
Employer & Industry UsageHealthcare IT companies, research institutionsMedical facilities, diagnostic imaging providers

While Mri Python involves programming and software development skills used in healthcare IT and research, Mri Technicians focus on operating MRI machines and patient care in clinical settings. Both roles are essential in the MRI field but serve different functions and require distinct qualifications.

What are popular job titles related to Mri Python jobs in Indiana?

For Mri Python jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Mri Python jobs in Indiana look for?

The top searched job categories for Mri Python jobs in Indiana are:

What cities in Indiana are hiring for Mri Python jobs?

Cities in Indiana with the most Mri Python job openings:

AI PhD Foundation Model for Clinical Imaging Internship

Eli Lilly and Company

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Eli Lilly and Company rating

8.9

Company rating: 8.9 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

9th of 86 rated pharmaceutical


Job description

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work-but it's work worth doing. If you're driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.
Organization Overview
At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work-but it's work worth doing. If you're driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.
Functional Overview
You will join the Clinical and Development area within Lilly's Advanced Intelligence & Research organization, where we build and deliver advanced AI and data science solutions that accelerate clinical development and improve decision-making across the drug development lifecycle. This internship sits within our work on foundation models for clinical imaging. The intern will help develop and evaluate imaging-based AI models that learn rich, generalizable representations from diverse clinical imaging and related data. The project may involve multiple imaging modalities, including MRI, PET, CT, ultrasound, digital pathology, retinal imaging, and other clinical imaging data. Applications may span multiple therapeutic areas, including neuroscience, cardiometabolic health (CMH), immunology, oncology, and other areas aligned with Lilly research priorities.
As an intern, you will be assigned a scoped project with real business impact and will work alongside experienced research scientists. Key areas of work may include developing, adapting, or fine-tuning foundation models for clinical imaging; integrating imaging-derived representations with clinical, biomarker, longitudinal, or other relevant data; applying models to prediction, characterization, stratification, or risk-assessment tasks across therapeutic areas; evaluating model performance, robustness, generalizability, and scientific interpretability; partnering with clinical, imaging, and scientific collaborators; and staying current with advances in foundation models and clinical imaging AI.
Lilly internships run for 12 continuous weeks over the summer. Each intern actively contributes to the organization, builds a comprehensive understanding of the pharmaceutical industry, and takes part in professional development and social events throughout the summer. At the conclusion of the internship, each intern presents their project highlights, findings, recommendations, and accomplishments to senior leaders and stakeholders.
As part of Lilly's commitment to innovation, interns will have the opportunity to build fluency with AI tools used across the business. We expect interns to approach these tools with curiosity, apply critical thinking to AI-assisted work, and always prioritize accuracy, confidentiality, and ethical standards in how they use them.
Basic Qualifications
  • Currently enrolled in and pursuing a PhD in Computer Science, Computational Biology, Operations Research, Statistics, Biostatistics, Mathematics/Applied Math, or similar quantitative field.
  • At least three years of completed graduate work, with foundational knowledge of machine learning, deep learning, medical imaging, or statistical modeling and hands-on experience programming in Python.
  • Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.

Additional Functional Job Skills & Preference
  • Deep knowledge of machine learning and deep learning methods relevant to medical imaging, including representation learning, self-supervised learning, multimodal learning, transfer learning, model evaluation, and uncertainty or risk prediction.
  • Experience developing, fine-tuning, or applying foundation models to clinical imaging data, including modalities such as MRI, PET, CT, ultrasound, digital pathology, retinal imaging, or related imaging domains across therapeutic areas.
  • Familiarity with clinical, imaging, biomarker, or longitudinal healthcare data and the challenges of missingness, data quality, harmonization across studies, and generalization across patient populations.
  • Strong programming skills in Python and/or R, and comfort with modern ML and statistical modeling.
  • Ability to translate methodological choices and insights for clinical and business stakeholders, with strong written and verbal communication.
  • Prior research or internship experience applying foundation models, clinical imaging AI, multimodal learning, or advanced deep learning methods to biomedical, healthcare, or life sciences problems.
  • Prior experience using AI tools (e.g., generative AI platforms, automation tools, or AI-assisted research/analytics tools) in an academic, project, or work setting.

Additional Information
This is a hands-on research and applied machine learning internship focused on foundation models for clinical imaging. Projects may support research across neuroscience, CMH, immunology, oncology, and other therapeutic areas.
  • Lilly arranges various intern activities including sporting events, dinners, lunch and learns, volunteer activities etc. to provide opportunities for socializing, professional development, and learning more about Lilly.
  • Interns will receive 1 week of paid time off during the Lilly summer shut-down (July 5th - July 9th)
  • 1:1 mentoring from an experienced professional in the function
  • Interns will receive a competitive salary and free parking at their work site, as well as access to Lilly's LIFE fitness center, bike garage, and many other discounts
  • If the intern's job position requires a move from another location, Lilly will provide subsidized housing

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 (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women's Initiative for Leading at Lilly (WILL).
Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is
$136,000 (PhD) annually
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

Sourced by ZipRecruiter

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