AI Machine Learning Scientist AI Machine Learning Scientist Location : Ideal candidates will be ... We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for ...
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AI Machine Learning Scientist Location : Ideal candidates will be able to report to our Pulse Point ... We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for ...
AI Machine Learning Scientist Location : Ideal candidates will be able to report to our Pulse Point ... We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for ...
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Healthcare Machine Learning information
See Indiana salary details
$22K is the 25th percentile. Wages below this are outliers.
$10.5K - $23.4K
28% of jobs
$23.4K - $36.3K
0% of jobs
$36.3K - $49.3K
0% of jobs
$49.3K - $62.2K
0% of jobs
$62.2K - $75.1K
0% of jobs
$75.1K - $88.1K
4% of jobs
The median wage is $97.2K / yr.
$88.1K - $101K
25% of jobs
$110.2K is the 75th percentile. Wages above this are outliers.
$101K - $113.9K
25% of jobs
$113.9K - $126.9K
1% of jobs
$126.9K - $139.8K
0% of jobs
$139.8K - $152.7K
17% of jobs
$10.5K
$93.3K
$152.7K
How much do healthcare machine learning jobs pay per year?
What are some common challenges faced by professionals working in Healthcare Machine Learning?
Professionals in Healthcare Machine Learning often encounter challenges such as navigating complex, unstructured, or incomplete healthcare data while ensuring strict compliance with privacy regulations like HIPAA. They must also bridge the gap between technical requirements and clinical needs, collaborating closely with medical professionals who may not have a technical background. Additionally, validating and interpreting machine learning models for real-world clinical use adds another layer of complexity, as solutions must be both accurate and explainable. Overcoming these challenges requires strong technical skills, effective teamwork, and a commitment to ethical, patient-centered solutions.
What is a Healthcare Machine Learning job?
A Healthcare Machine Learning job involves developing and applying machine learning models to analyze medical data and improve healthcare outcomes. Professionals in this role work with electronic health records, medical imaging, genomics, and other healthcare data to assist in disease prediction, diagnosis, and personalized treatments. They collaborate with clinicians, data scientists, and engineers to ensure models are clinically relevant and ethically sound. Strong knowledge of machine learning, data preprocessing, and regulatory compliance (such as HIPAA) is essential.
What are the key skills and qualifications needed to thrive in the Healthcare Machine Learning position, and why are they important?
To thrive in Healthcare Machine Learning, you need strong expertise in data science, machine learning algorithms, and biomedical informatics, often supported by an advanced degree in computer science, statistics, or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and healthcare data standards (like HL7 or FHIR) is highly beneficial, and certifications in data science or health informatics can provide an edge. Excellent problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to diverse healthcare teams are valuable soft skills. These competencies are vital for developing robust, ethically sound machine learning solutions that improve clinical decision-making and patient outcomes.

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 3 days ago
Elevance Health rating
7.8
Based on 331 frontline employees who took The Breakroom Quiz
165th of 260 rated insurance
Job description
Anticipated End Date:
2026-07-15Position Title:
AI Machine Learning ScientistJob Description:
AI Machine Learning Scientist
Location: Ideal candidates will be able to report to our Pulse Point location at 220 Virginia Avenue, Indianapolis, IN 46204.
This role enables associates to work virtually full-time with the exception of required in-person training sessions, providing maximum flexibility and autonomy. This approach promotes productivity, supports work-life integration, and ensures essential face-to-face onboarding and skill development.
Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.
Work Hours: Monday to Friday, 8:00 am to 5:00 pm
The AI Machine Learning Scientist is responsible for developing experimental and analytic plans for machine learning algorithms and data modeling processes, establish strong baselines, and accurately determine causal relationships.
How You Will Make an Impact:
- Leverage Artificial Intelligence (AI) scientific and statistical methods to assist with product creation, development, and improvement.
- Engage with product teams and business stakeholders to align on project objectives and ensure AI models meet business goals.
- Lead initiatives for developing Machine Learning (ML), Natural Language Processing (NLP), and Large Language Models (LLM) LLM models.
- Play a critical role in steering the strategic direction for ML, NLP, LLM, and algorithm development within the company's AI/ML team, collaborating with distinguished experts in AI/ML modeling, ML engineering, data science, and data engineering.
- Define and articulate roadmaps for AI/ML model development, acting as a key figure in AI-driven transformation to deliver value internally and to customers.
- Design and develop customized ML, GenAI, NLP, and LLM models for both batch and stream processing-based AI/ML pipelines. This includes handling data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), and ensuring that complete solutions meet all technical and business requirements, as well as Service Level Agreement (SLA) specifications.
- Work closely with MLOps, machine learning engineers, and software engineers to ensure seamless integration of machine learning models into production systems.
- Collaborate with the MLOps team to create and maintain strong evaluation solutions and tools that assess model performance, accuracy, consistency, and reliability during development and UAT.
- Mentor junior team members and influence the strategic direction of our ML and data science projects.
Minimum Requirements:
- Bachelor's degree in a highly quantitative field: Computer Science, Machine Learning, Operational Research, Analytics, Statistics, Mathematics, or a related field of study.
- Four (4) years of Information Technology (IT) experience, or related experience.
Experience Requirements:
Four (4) years of required Information Technology (IT), or related experience must include:
- Experience with Machine Learning techniques including supervised learning (linear regression and classification) and unsupervised learning (clustering).
- Experience with Deep Learning techniques including convolutional neural networks, recurrent neural networks, and reinforcement learning.
- Experience using Python programming language.
- Experience with big data technologies including Hadoop, Apache Spark, and AWS.
- Experience with relational database management and SQL.
- Experience with Natural Language Processing (NLP) techniques including sentiment analysis and text classification.
- Experience with statistical analysis and application of statistical methods.
Alternate Education / Experience Requirements:
- Employer will accept a Master's degree in a highly quantitative field: Computer Science, Machine Learning, Operational Research, Analytics, Statistics, Mathematics, or a related field of study and
- Two (2) years of Information Technology (IT) experience, or related. Must have the skills listed above.
Apply: https://careers.elevancehealth.com
Job Level:
Non-Management ExemptWorkshift:
Job Family:
IFT > Artificial IntelligencePlease be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health.
Who We Are
Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve.
How We Work
At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business.
We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.
Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process.
The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws.
Elevance Health is an Equal Employment Opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process should submit the following form: Accessibility Accommodation Request Form and a member of the team will be in contact. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.
Prospective employees required to be screened under Florida law should review the education and awareness resources at HB531 | Florida Agency for Health Care Administration.
NOTE: Workday keeps job postings active through 11:59:59 PM on the day before the listed end date. Example: If the end date is 3/13, the posting will automatically come down on 3/12 at 11:59:59 PM. In other words - the job is posted until 3/13, not through 3/13.
What Elevance Health employees say
Pay
Benefits
Hours and flexibility
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Get the full story on Breakroom
About Elevance Health
Sourced by ZipRecruiter
Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. A Fortune 20 company with a longstanding history in the healthcare industry, we are looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. You will thrive in a complex and collaborative environment where you take action and ownership to solve problems and lead change. Do you want to be part of a larger purpose and an evolving, high-performance culture that empowers you to make an impact?
Industry
Health care and social assistance
Company size
10,000+ Employees
Headquarters location
Indianapolis, IN, US
Year founded
2004