Data Scientist - Healthcare (Hybrid / New York Metro) ( 3 days on-site )
AssistRx is a healthcare technology company focused on specialty pharmacy hub services, helping pharmaceutical manufacturers improve therapy initiation, patient access, and reimbursement workflows through its iAssist platform and related support services. Its platform connects patients, providers, payors, and manufacturers across complex specialty therapy programs, supporting a broad portfolio of work across areas including oncology, immunology, rare disease, and obesity.
In this role, you will contribute to a high-performance analytics team focused on turning complex healthcare data into meaningful insight for clients. This position is centered on delivering analytical work that supports program performance evaluation and helps shape the outputs, narratives, and insights that define the team’s value to manufacturer partners.
Responsibilities
- Produce structured, audience-ready analytical outputs that support client engagements and program insight generation.
- Explain quantitative findings in plain language for non-technical audiences.
Requirements
REQUIRED QUALIFICATIONS
- Approximately 5 years of experience in healthcare analytics, with direct experience in one or more of the following: pharmaceutical manufacturer (commercial, market access, or patient services analytics), pharma consulting, health insurer, or pharmacy benefit manager (PBM)
- Strong proficiency in SQL; experience querying and manipulating data in cloud data warehouse environments (Snowflake preferred)
- Python or R required; Python preferred (pandas, numpy, scipy, and scikit-learn)
- Working knowledge of statistical methods applicable to program performance analysis: cohort analysis, survival analysis, funnel decomposition, regression modeling, distribution-based metrics, and experimental design and A/B testing frameworks
- Experience producing structured, audience-ready analytical outputs — not just raw analyses; strong attention to how findings are communicated, not just computed
- Clear, organized written and verbal communication skills; ability to explain quantitative findings in plain language
- Bachelor's degree in a quantitative field (statistics, mathematics, data science, computer science, economics, or related); advanced degree a plus
- Eligible to work in the United States
Benefits
- Supportive, progressive, fast-paced environment
- Matching 401(k) with immediate vesting
- Medical, dental, vision, life, & short-term disability insurance
- Opportunity to impact patient outcomes through data-driven healthcare technology.
- Collaborative and mission-driven culture that values innovation and continuous learning.
- Access to cutting-edge cloud technologies and modern data engineering tools.
AssistRx, Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors, or any other protected categories protected by federal, state, or local laws.
As published by workable
First name, Last name, Email, Headline, Phone, Address, Education, Experience, Summary, Resume, Cover letter, Did an AssistRx employee refer you to this position?, If yes, who was the AssistRx employee that referred you?, Will you now or in the future require sponsorship for employment visa status, for instance, H1-B visa status?
- Will you now or in the future require sponsorship for employment visa status, for instance, H1-B visa status? yes / no
- Can you tell us about your experience in healthcare analytics, including the types of projects you've worked on and the settings (such as pharmaceutical manufacturers, consulting, health insurers, or PBMs) where you've applied your skills? written answer
- Could you share an example of a time when you created analytical outputs or presentations for a non-technical audience? What approach did you take to ensure your findings were clear and impactful? written answer
- I hereby certify that the facts set forth in the above employment application are true and complete to the best of my knowledge and authorize AssistRx to verify their accuracy and to obtain reference information from contacts I have provided and/or anyone else familiar with my job performance at any of the companies listed in my work history. I hereby release AssistRx from any/all liability of whatever kind and nature which, at any time, could result from obtaining and having an employment decision based on such information. I understand that, if employed, falsified statements of any kind or omissions of facts shall be considered sufficient basis for dismissal. I understand that should an employment offer be extended to me and accepted that I will fully adhere to the policies, rules and regulations of the Employer. However, I further understand that neither the policies, rules, regulations of employment or anything said during the interview process shall be deemed to constitute the terms of an implied employment contract. I understand that any employment offered is for an indefinite duration and at will and that either I or the Employer may terminate my employment at any time with or without notice or cause. choose one
- Please explain your experience in healthcare analytics, with direct and substantive experience in one or more of the following: pharmaceutical manufacturer (commercial, market access, or patient services analytics), pharma consulting, health insurer, or pharmacy benefit manager (PBM) written answer
- Please explain your • Strong working knowledge of statistical methods applicable to program analytics: cohort analysis, survival analysis, funnel decomposition, regression modeling, distribution-based performance metrics, and experimental design and A/B testing frameworks written answer
- Please explain your experience with • Advanced proficiency in SQL; hands-on experience querying and manipulating data in cloud data warehouse environments (Snowflake strongly preferred) written answer
- Are you in the Metro New York Area? yes / no
- Can you meet the required 3 days a week on-site near Grand Central Station? yes / no