Machine Learning Defense Jobs in Streamwood, IL (NOW HIRING)

Anticipated End Date:

Position Title:

Job Description:

Research Scientist Senior

This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Ideal candidates will be able to report to one of our Pulse Point locations in Indianapolis, IN, Atlanta, GA, Grand Prairie, TX, Chicago, IL or New York, NY. Alternate locations may be considered if candidates reside within a commuting distance from an office.

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.

The Research Scientist Senioris responsible for prospective and retrospective health economic research activities. Responsible for leadership in assessing scientific research that contributes to the transformation of health outcomes research to achieve a substantial national/global leadership. This role will focus on the design, development, evaluation, and deployment of advanced machine learning and reinforcement learning systems that optimize healthcare and operational decision-making.

How you will make an impact:

• Leads the assessment of scientific research that contributes to the transformation of health outcomes research to achieve substantial national and global leadership.

• Acts as a technical authority within the organization and nationally/globally.

• Publishes finding and conclusions in recognized scientific publications and presents research at scientific conferences and forums. Leads projects that generate project extensions.

• Leads research project operations activities to include project conceptualization, project planning, leading project teams, and proposal defense presentations.

• Leads the proposal development process, project pricing, and project milestone forecasting.

• Ensures the quality and timeliness of deliverables to research clients.

• Serves as a hands-on individual contributor building scalable AI/ML solutions and production-grade decision intelligence systems in highly regulated healthcare environments.

• Develops scalable machine learning and reinforcement learning systems that improve healthcare outcomes, operational efficiency, and member experience through adaptive learning and advanced analytics.

• Demonstrates deepexpertisein machine learning, reinforcement learning, predictive analytics, and intelligent decision systems.

• Applies strong research discipline and evidence-based methodologies to complex healthcare and operational problems.

• Successfully delivers scalable machine learning solutions from concept through deployment and measurable operational impact.

• Partners effectively across business, research, engineering, analytics, and product teams.

• Evaluates emerging AI technologies and translates innovation into scalable business value.

• Communicates highly technical concepts effectively to both technical and non-technical audiences.

• Leads prospective and retrospective health economic and outcomes research initiatives using healthcare administrative datasets including pharmacy and medical claims.

• Designs and develops machine learning, predictive modeling, and reinforcement learning solutions for healthcare optimization and intelligent decision systems.

• Builds and operationalizes production-grade ML systems.

• Partners closely with engineering, architecture, analytics, product, and business teams to deploy AI-driven recommendations and decision systems into operational workflows.

Minimum Requirements:

Requires a PhD in health service research, biostatistics, epidemiology, health policy, economics or related field, or a clinical degree such as an MD or PharmD with residency or fellowship research training, a minimum of 10 years of experience conducting health outcomes research using health plan administrative databases, including pharmacy and medical claims data, and a demonstrated record of peer-reviewed publications and/or presentations at scientific conferences; or any combination of education and experience which would provide an equivalent background.

Preferred Skills, Capabilities and Experiences:

• Hands-on expertise with Python and modern ML frameworks such as PyTorch, TensorFlow, Scikit-learn, or Ray highly preferred.

• Experience building end-to-end machine learning systems and production AI infrastructure highly preferred.

• Experience with reinforcement learning, predictive modeling, recommendation systems, or adaptive decision systems highly preferred.

• Experience with cloud-native ML environments, distributed computing, and MLOps practices highly preferred.

• Experience with healthcare AI, clinical decision support, or intelligent automation systems in regulated industries highly preferred.

• Experience operationalizing Generative AI or LLM-enabled workflows preferred.

• Managed care, PBM, pharmaceutical, or related experience preferred.

For candidates working in person or virtually in the below location(s), the salary* range for this specific position is $156,464 to $256,032.

Locations: Chicago, IL, New York, NY

In addition to your salary, Elevance Health offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary offered for this specific position is based on a number of legitimate, non-discriminatory factors set by the Company. The Company is fully committed to ensuring equal pay opportunities for equal work regardless of gender, race, or any other category protected by federal, state, and local pay equity laws.

* The salary range is the range Elevance Health in good faith believes is the range of possible compensation for this role at the time of this posting. This range may be modified in the future and actual compensation may vary from posting based on geographic location, work experience, education and/or skill level. Even within the range, the actual compensation will vary depending on the above factors as well as market/business considerations. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Job Level:

Workshift:

Job Family:

Please 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.