Patient Access Specialist
Job description
About the role
Artera runs a medical AI program that tailors cancer care. A temporary contract guides patient-facing work for a limited period. The role handles patient calls and coordinates with healthcare teams.
Data roles turn raw information into decisions. Analysts query databases and build dashboards. Data scientists build models that predict outcomes. Data engineers build the pipelines that move and store data. All three work closely with business teams and need a mix of statistics, coding, and communication. Nearly every modern company runs on data teams, from startups to banks. A strong portfolio of past analyses matters more than degrees in many hiring decisions.
Key facts
What you'll do
Verify patient eligibility and insurance details using online systems or direct calls with insurers. Educate patients on coverage, estimated costs, and financial aid options in plain language. Administer financial assistance programs and guide patients through required steps. Submit and track prior authorization cases and follow up to ensure timely outcomes. Record every patient interaction and update accurately in the billing system. Support extra tasks, process experiments, and improvement work as requested.
Requirements
Associate's degree is mandatory for this position. Bring 1-3 years of healthcare or patient access experience to this role. Show experience in high-volume call centers or patient-facing healthcare settings. Demonstrate deep knowledge of medical benefits, insurance rules, COB, prior authorization, and payer reimbursement for Medicare, Medicaid, and commercial plans. Stay calm and professional when handling sensitive situations under pressure. Use strong organization, problem-solving, and communication skills daily. Learn new systems, tools, and procedures quickly while following internal standards.
Practical notes
Work is fully remote within the United States under a fixed-term contract of approximately 3-6 months. United States work authorization is required, and equal opportunity applies to all qualified candidates. Typical interview steps
Data interviews commonly include a SQL or coding exercise, a statistics question, and a case study. Candidates may be asked to design a metric, interpret an experiment, or build a small model. Some companies give a take-home analysis. Expect questions about past projects and the business impact of your work. Interviewers often evaluate how you communicate uncertainty and business impact, not only the math. Bringing a clean write-up of a past analysis to the interview is well received.
Good to know
Medical AI roles often combine clinical knowledge with technical data workflows. Teams rely on structured call scripts, compliance rules, and clear documentation. Strong attention to detail reduces billing issues and patient confusion. Spanish language skills can expand the scope of supported patients.
Questions to ask
Useful questions for the interview: what a typical week looks like, how work is assigned, what tools the team uses, and how feedback works. Asking how the role has changed recently and what the team wishes it had known when joining is also reasonable. Questions about the manager's priorities are especially valued.
Career growth
Data careers grow toward senior analyst, staff data scientist, or data engineering lead. Many professionals specialize in machine learning, analytics, or infrastructure. Cross-functional work with product and engineering teams becomes more important at senior levels. The field changes quickly, so continuous learning is part of the job. Professionals who can translate numbers into decisions tend to advance fastest.
About the company
ARTERADIO produces reportages, testimonies, and sound features. ARTERADIO offers podcasts through ARTE Podcasts a gogo. Content includes audio shows, testimonies, and audio documentaries. ARTERADIO provides an audio player for direct listening. Users can search within the service. The platform focuses on podcast discovery. Navigation returns to the main page. ARTERADIO positions itself within digital audio streaming. Connection to ARTE radio ecosystem remains central. Services target French language audiences interested in documentary and narrative audio formats.