Data Scientist
AccessHope Remote

At AccessHope, we’re Fighting cancer with everything we know™ by putting the ever-growing body of cancer knowledge to work for the greater good. Through a revolutionary employer health benefit offering, we remotely connect employees with cancer support services from National Cancer Institute (NCI)–Designated Comprehensive Cancer Centers. Instead of requiring those who have been diagnosed with cancer to come to the centers for renowned cancer expertise, AccessHope brings their support to the patient and their local oncologist—wherever they’re located—to improve care, outcomes, and value.

Hopeful for those we support, rebellious in our approach, and collaborative by breaking down barriers, AccessHope is seeking a Data Scientist to help us uniquely deploy the latest cancer knowledge to the places it’s needed most. As an ideal candidate, you’ll be responsible for collecting, analyzing, and interpreting large volumes of data to help organizations make informed decisions. You will work closely with cross-functional teams to identify business opportunities, develop data-driven solutions, and contribute to the overall data strategy of the organization.

Key Responsibilities

Undertaking data collection, preprocessing and analysis
Building models to address business problems
Construct machine learning models for predictive analytics, classification, and clustering
Optimize algorithms for scalability, efficiency, and real-world applicability
Presenting information using data visualization techniques
Identify valuable data sources and automate collection processes
Analyze large amounts of information to discover trends and patterns
Build and optimize data workflows in Python and PySpark within Databricks notebooks.
Leverage GPT/LLM-based techniques for coding assistance, automation, and intelligent reporting enhancements.

Required Qualifications

Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Health Informatics, or related field.
3+ years of experience as a Data Scientist (or similar role) with end-to-end model ownership.
Strong proficiency in Python, PySpark, and Databricks notebooks.
Advanced SQL skills with experience handling large-scale healthcare or operational data.
Proven ability to create reusable, well-documented notebook workflows for analysis, reporting, and automation.
Demonstrated experience applying GPT/LLM tools to accelerate coding, validation, and AI workflows.

Preferred Qualifications

Graduate degree in Data Science or another quantitative field
Certifications in data science, machine learning, or related fields (e.g., Certified Databricks AI/ML, Analytics, or Engineering).
Strong proficiency in programming languages like Python or R.
Experience with data manipulation and analysis libraries.
Knowledge of machine learning techniques and frameworks.
Familiarity with data visualization tools (e.g., Tableau, Power BI).

Additional Information

As a condition of employment, AccessHope requires staff to comply with all state and federal vaccination mandates.

Virtual within the Continental U.S.; support or collaboration across multiple time zones; may include travel up to 25%

The estimated pay scale represents the typical pay range AccessHope reasonably expects to pay for this position, with offers determined based on several factors which may include, but not be limited to, the candidate’s experience, expertise, skills, education, job scope, training, internal equity, geography/market, etc. This pay scale applies to the current posting only.

AccessHope is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, identity, age, status as a protected veteran, or status as a qualified individual with disability.

AccessHope

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