Role Description The HBA Eligibility and Research Associate position is a member of the Post-Pay Eligibility & Research group within the Hospital Bill Audit (HBA) team and supports our auditors and audit process. The primary responsibility of the role is to perform pre-audit and post-audit analysis and research of claims and client contract information to determine eligibility of client claims for HBA audits and overpayment calculations. This position is full time, Monday - Friday. Employees are required to have flexibility to work any of our 8-hour shift schedules during our normal business hours of 8:00 am - 5:00 pm local time. It may be necessary, given the business need, to work occasional overtime. We offer 4 weeks of paid on-the-job training and the hours during training will be 8:00 am - 5:00 pm local time, Monday - Friday. Primary Responsibilities: - Utilize payer claim systems, where applicable, to review and analyze claims to verify eligibility for HBA audit including determination and updating of the payment methodology, exclusions, and non-covered charges in Optum systems. - Utilize payer claim systems to review contracts between clients and providers to identify contractual rates and guidelines to determine payment accuracy. - Determine overpayment calculation and refund due from provider. - Document outcome of payment analysis and research in appropriate Optum and client payer systems; approve or reject claims for audit based on analysis/research. - Complete annual client compliance training and maintain access to client systems. - Research and respond to operational inquiries. - Provide feedback on ineligible claims where needed. - Other duties as assigned. Qualifications - High School Diploma / GED. - Must be 18 years of age OR older. - 1+ years of experience in medical claims processing / billing / collections and / or contract analysis. - Understanding of payment methodology and the ability to calculate correct payment amounts for claims including, but not limited to percent of charge, stop loss, DRG, per diem, case rate. - Understanding of relevant privacy regulations (e.g., HIPAA). - Proficient computer skills including Microsoft Office suite; Microsoft Word, Microsoft Excel, and Microsoft Outlook. - Ability to work full time, Monday - Friday. Employees are required to have flexibility to work any of our 8-hour shift schedules during our normal business hours of 8:00 am - 5:00 pm local time. It may be necessary, given the business need, to work occasional overtime. Requirements - Reside within Mainland USA. - Ability to keep all company sensitive documents secure (if applicable). - Required to have a dedicated work area established that is separated from other living areas and provides information privacy. - Must live in a location that can receive a UnitedHealth Group approved high-speed internet connection or leverage an existing high-speed internet service. Soft Skills - Attention to detail, organizational, problem solving and time management skills with flexibility to adjust to changing priorities. - Math skills; proficiency in the ability to apply proper payment methodologies and calculate payments. - Effective oral and written communication skills plus the ability to develop effective relationships with our internal and external customers. - Must be self-directed and able to prioritize own work; work with Specialists for more complex inquiries. - Confidence in ability to make decisions and support those decisions; work with senior team members on more complex evaluations. - Ability to learn to interpret client-provider contracts and extract necessary information to support the audit process. - Ability to learn and apply applicable federal, state, and local compliance regulations. Benefits - Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. - In addition to your salary, we offer 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 hourly pay for this role will range from $17.98 - $32.12 per hour based on full-time employment. Application Deadline This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

• Ship AI product features that combine engineering and ML. • Build and improve agent workflows (tooling, retries, guardrails, fallbacks). • Improve the latency, cost, and reliability of our systems. • Track what’s new in the AI space (agent teams, methods, tooling) and turn it into shipped products. • Build self-improving loops: systems that run experiments, learn from feedback and evals, and improve the product over time.

Design and execute complex oncology experiments using molecular biology techniques, perform high-throughput drug screening, analyze data to inform research decisions, and develop laboratory protocols while ensuring effective resource management.

Title: Member of Research Staff (USA-remote) Location Remote, United States Employment Type Full time Department Research Job Description: Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. As a Member of Research Staff, you will work at the forefront of modern statistical machine learning. Your research colleagues have collectively published hundreds of academic articles in top-tier venues on machine learning, systems, and theory, and we meet regularly to stay current on the latest academic research and share ideas. Founded in 2007 by two leading scientists (see management bios), Voleon supports a culture of curiosity, collegiality, and creativity. Your work will focus on financial market prediction and portfolio optimization. The behavior of financial markets is noisy and violates a number of classical statistical assumptions, and we’ve spent over a decade pioneering scientific advances in the application of machine learning techniques to this domain. You will work with a complex and diverse array of datasets to implement and iterate on predictive models. Predicting financial markets is an enduringly hard problem, but results are immediate and unambiguous. Years of academic training has prepared you for this moment. You won’t just conduct research, you’ll apply it on a daily basis, working with a team across the entire life cycle of applied research problems. Your work will span from basic research to productizing solutions and validating their efficacy in live trading. This role is a means to make a difference: you will help direct billions of dollars in trades daily while making an enduring impact on our field. *** Relocation and work visa eligibility for qualified candidates*** Responsibilities - Develop a rich understanding of Voleon’s challenges and methodologies and propose research innovations and experiments to build, maintain and optimize the models that govern our investment strategy - Prepare and analyze new datasets to assess their predictive efficacy - Develop, validate, and implement new models into production - Design and conduct experiments to improve simulations and evaluate the success of new models in a live environment - Communicate and collaborate effectively with other Members of Research Staff and Software Engineers at each stage, driving progress towards tangible outcomes - Keep up to date on the latest academic research to identify novel approaches to explore for application to our domain Requirements - Background in modern statistical methods and machine learning with a track record as an applied researcher - Evidence of strong mathematical abilities (e.g., publication record, graduate coursework, or competition placement) - Interest in software development techniques and willingness to write production level code (Python and/or R preferred) - Ability to solve large-scale computing problems - Eagerness to work in collaborative and diverse teams - Interest in financial applications is essential, but prior finance industry experience is not a pre-requisite - Ph.D. level coursework is required, and a Ph.D. degree in a relevant field is preferred “Friends of Voleon” Candidate Referral Program If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program. Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.