Job Description

About Ascendion

Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.

Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

• Build the coolest tech for the world’s leading brands
• Solve complex problems – and learn new skills
• Experience the power of transforming digital engineering for Fortune 500 clients
• Master your craft with leading training programs and hands-on experience

Experience a community of change-makers!

Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

About the Role:

Job Title: User Experience Researcher

Job Description :

We are looking for an UX Researcher with strong technical and quantitative skills to support large-scale text analysis efforts for clinical decision-support products. This role is more data-driven than traditional UX research and requires hands-on experience with analyzing unstructured written text . You will work closely with Product, Design, Engineering, and Data Science teams to run research in sprint cycles and deliver insights that directly shape product outcomes.

Key Responsibilities :

• Lead and execute large-scale text analysis , including categorizing and clustering unstructured text datasets.
• Apply methods such as text mining, sentiment analysis, clustering, and NLP to extract actionable insights.
• Set up processes and workflows for text analysis and data manipulation.
• Partner with Product Managers to define research plans aligned with business goals.
• Conduct usage/pattern analysis (including some non-text data).
• Present clear, actionable research insights that influence product strategy.
• Work in 2 week sprints , delivering quick iterations and measurable impact.

Required Skills :

• Proven UX research experience with large datasets of unstructured text .

1. Hands-on expertise in: Text mining, Sentiment analysis, Clustering, NLP (Natural Language Processing)

• Strong quantitative + qualitative research capabilities.
• Proficiency in Python or R (any language suitable for text analysis is acceptable).
• Experience collaborating with cross-functional product teams and demonstrating direct product impact.
• Ability to communicate complex data findings clearly and tell a compelling story with insights.
• Experience in healthcare, clinical workflows, or clinical decision-support tools is a nice to have.

Location: Philadelphia, PA

Salary Range: The salary for this position is between $100K – $120K annually. Factors that may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertain to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [Ascendion Learning Management System]

Want to change the world? Let us know.

• Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let’s talk!

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