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Senior Data Scientist - Healthcare Data

United States

Pay
$157,500–192,500/year · BaseLocation-specific pay — pay source
We’re a midsize company. This means you’re not just another employee ID number. Here, you can build real relationships and feel supported by truly awesome people with diverse backgrounds and talents in an innovative and collaborative work culture. We strive to create an environment where you can be yourself, share your ideas and work your way. We offer opportunities for employee development, as well as competitive compensation packages and extensive benefits. At Surescripts, base pay is one part of our Total Rewards Package (which may also include bonus, benefits etc.) and is determined within a range. The base pay range for this position is $157,500 - $192,500 per year. Your base pay may vary within or outside of this range depending on a number of factors, including (but not limited to) your qualifications, skills, experience, and location. Benefits include, but are not limited to, comprehensive healthcare (including infertility coverage), generous paid time off including paid childbirth and parental leave and mental health days, pet insurance, and 401(k) with company match and immediate vesting. To learn more, review the Keep You and Yours Healthy, Balancing Work and Life, and Where Talent Takes Shape links under the Better Benefits. Better Work. Better Life section of our careers site. Physical and Mental Requirements
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surecripts in the U.S. At this time, we are unable to provide support or provide sponsorship for immigration benefits such as work visas. Additionally, we do not participate in academic training programs or work-study programs through an academic institution that require employer endorsement of F-1/CPT or F-1/STEM.
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Apply at Surescripts

What you’ll work on

Full posting
  • Create visualizations that communicate findings to stakeholders

  • Translate business requirements into analytical solutions with product and engineering teams

  • Review AI-drafted code and queries for correctness, security and performance

  • Define acceptance criteria, test strategy and data validation methods

  • Mentor data scientists, analysts and engineers on analytic skills

From the employer’s posting
Create compelling visualizations to communicate findings and insights to stakeholders.
Work closely with business leaders, product managers, data scientists, and engineers to translate business requirements into analytical solutions.
perform human review for correctness, security, performance, and maintainability
Define acceptance criteria, test strategy, and validation methods (data checks; model metrics and bias/robustness as applicable)
Provide guidance and mentorship to other data scientists, analysts and engineers within the team.

What you’ll bring

All qualifications

Core experience

  • Master’s degree in Mathematics, Computer Science, Statistics, or other related field; or equivalent experience
  • 5+ years of experience in data science, data management and/or applying data analysis and reporting skills in a business context
  • 2+ years of experience with large healthcare transactional datasets / reporting
  • Expertise in programming languages to facilitate analysis (e.g.
  • Expertise with SQL /PLSQL, Relational and NoSQL databases, and Structured and Unstructured data
  • Ability to translate statistical analysis into a written and verbal presentation for non-data science audience.

Preferred experience

  • Expertise in statistical analysis and rigor, statistical software (e.g., R, SPSS, or SAS)
  • Experience with Google Cloud; comparable experience with AWS, Azure, Databricks, or Snowflake will also be considered.
  • Deep experience with large language models and/or natural language processing (e.g., fine-tuning, prompt/program orchestration, retrieval-augmented generation, or LLM evaluation frameworks) beyond baseline AI-assistant usage.
  • Experience with MLOps frameworks such as GCP, DataBricks, or SnowFlake.
Qualification wording
Master’s degree in Mathematics, Computer Science, Statistics, or other related field; or equivalent experience
5+ years of experience in data science, data management and/or applying data analysis and reporting skills in a business context
2+ years of experience with large healthcare transactional datasets / reporting
Expertise in programming languages to facilitate analysis (e.g. R, Python or MATLAB)
Expertise with SQL /PLSQL, Relational and NoSQL databases, and Structured and Unstructured data
Ability to translate statistical analysis into a written and verbal presentation for non-data science audience.
Expertise in statistical analysis and rigor, statistical software (e.g., R, SPSS, or SAS)
Experience with Google Cloud; comparable experience with AWS, Azure, Databricks, or Snowflake will also be considered.
Deep experience with large language models and/or natural language processing (e.g., fine-tuning, prompt/program orchestration, retrieval-augmented generation, or LLM evaluation frameworks) beyond baseline AI-assistant usage.
Experience with MLOps frameworks such as GCP, DataBricks, or SnowFlake.
Education & alternatives
Basic Requirements: - Master’s degree in Mathematics, Computer Science, Statistics, or other related field; or equivalent experience - 5+ years of experience in data science, data management and/or applying data analysis and reporting skills in a business context
Preferred Qualifications: - PhD degree in a quantitative field (e.g., Data Science, Statistics) or MBA - Health IT industry knowledge with a special focus on e-prescribing

Tools in this posting

  • MATLAB
  • Python
  • R
  • SAS
  • SQL
  • AWS
  • Azure
  • Databricks
  • GCP
  • NoSQL
  • Snowflake
Source — Tool mentions in context
- 2+ years of experience with large healthcare transactional datasets / reporting - Expertise in programming languages to facilitate analysis (e.g. R, Python or MATLAB) - Expertise with SQL /PLSQL, Relational and NoSQL databases, and Structured and Unstructured data
- Health IT industry knowledge with a special focus on e-prescribing - Expertise in statistical analysis and rigor, statistical software (e.g., R, SPSS, or SAS) - Deep experience with large language models and/or natural language processing (e.g., fine-tuning, prompt/program orchestration, retrieval-augmented generation, or LLM evaluation frameworks) beyond baseline AI-assistant usage.
- Expertise in programming languages to facilitate analysis (e.g. R, Python or MATLAB) - Expertise with SQL /PLSQL, Relational and NoSQL databases, and Structured and Unstructured data - Analytical background and research experience with large volumes of personal data
- Google Cloud environment expertise - Experience with Google Cloud; comparable experience with AWS, Azure, Databricks, or Snowflake will also be considered. - Experience with MLOps frameworks such as GCP, DataBricks, or SnowFlake.
- Experience with Google Cloud; comparable experience with AWS, Azure, Databricks, or Snowflake will also be considered. - Experience with MLOps frameworks such as GCP, DataBricks, or SnowFlake. Keywords: data scientist, predictive analytics, machine learning AI, healthcare data
The Senior Data Scientist is expected to possess expert business, data, and analytics expertise to handle complex advanced analytics initiatives. The Senior Data Scientist is self-motivated and able to work under limited supervision from management, can manage multiple complex and significant projects simultaneously, and is responsible for making connections and integrating work across teams and departments. Working closely with data solutions architects and other leaders, the Senior Data Scientist ensures alignment of prioritization of work and appropriate allocation of resources, while applying responsible, secure, and privacy-aware AI-assisted workflows (human-in-the-loop review, traceability, and validation of AI-generated outputs). This role will lead efforts around process improvement to enhance team effectiveness in leveraging advanced analytics tools and techniques in our Google Cloud environment. In support of the Data Literacy Program, the Senior Data Scientist will be responsible for developing training and information materials on new techniques/tools/reports across the enterprise to ensure rapid and effective adoption of insights derived from advanced analytics techniques. Responsibilities:
- Project management experience - Google Cloud environment expertise - Experience with Google Cloud; comparable experience with AWS, Azure, Databricks, or Snowflake will also be considered.

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First seen by us
Oct 2, 2026 · 19 days ago
Recorded sightings
11
Last seen by us
Oct 21, 2026
Employer says posted
Sep 30, 2026

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Job description

View original posting ↗

Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care. We deliver insights at critical points of care for better decisions — from streamlining prior authorizations to delivering comprehensive medication histories to facilitating messages between providers.
 

Job Summary:

The Senior Data Scientist - Healthcare Data will play a pivotal role in developing and implementing data-driven solutions across various business functions, collaborating with cross-functional teams to analyze complex data sets, derive actionable insights, and drive strategic decision-making. The Senior Data Scientist will design, deliver, and optimize powerful insights and visuals with advanced analytics and AI, including effective use of AI assistants within development tools to accelerate planning, solution design, implementation, and documentation.


The Senior Data Scientist is expected to possess expert business, data, and analytics expertise to handle complex advanced analytics initiatives. The Senior Data Scientist is self-motivated and able to work under limited supervision from management, can manage multiple complex and significant projects simultaneously, and is responsible for making connections and integrating work across teams and departments. Working closely with data solutions architects and other leaders, the Senior Data Scientist ensures alignment of prioritization of work and appropriate allocation of resources, while applying responsible, secure, and privacy-aware AI-assisted workflows (human-in-the-loop review, traceability, and validation of AI-generated outputs).


This role will lead efforts around process improvement to enhance team effectiveness in leveraging advanced analytics tools and techniques in our Google Cloud environment. In support of the Data Literacy Program, the Senior Data Scientist will be responsible for developing training and information materials on new techniques/tools/reports across the enterprise to ensure rapid and effective adoption of insights derived from advanced analytics techniques.


Responsibilities:
  • Data Visualization: Create compelling visualizations to communicate findings and insights to stakeholders.
  • Collaboration: Work closely with business leaders, product managers, data scientists, and engineers to translate business requirements into analytical solutions.
  • AI-Assisted Planning & Design: Use AI assistants to accelerate requirements clarification, solution options, and technical design; convert outputs into reviewed artifacts (design docs, user stories, test plans).
  • AI-Assisted Implementation: Use AI coding assistants to draft code/queries/notebooks/pipelines; perform human review for correctness, security, performance, and maintainability; follow IP/licensing and data-use policies.
  • QA Oversight: Define acceptance criteria, test strategy, and validation methods (data checks; model metrics and bias/robustness as applicable); partner with engineering/QA on regression coverage and release readiness.
  • AI-Teaming & Refinement: Iteratively refine solutions using prompt engineering, grounding/source practices, and evaluation rubrics; document prompts, assumptions, and decisions for repeatability.
  • Mentorship: Provide guidance and mentorship to other data scientists, analysts and engineers within the team.  Serves as a mentor/role model, imparting analytic knowledge, experience, and skills to other staff at all levels, either individually or as a member of project teams.
  • Continuous Learning: Stay abreast of industry trends, emerging technologies, and best practices in data science.
  • Evangelism: Evangelize within company the capabilities and opportunities that data science and advanced analytics empower towards corporate goals.
  • Question, validate, and perform quality assurance of the data for integrity and consistency to support ongoing data quality assessment and improvement initiatives.
  • Understand all applicable data privacy and security laws, rules, regulations, and contractual restrictions, and follow all Surescripts data governance and data usage rights policies and procedures.
  • Document access and use requirements for advanced analytics data/reporting products and support the definition of report template and specifications.
  • Demonstrate ability to communicate complex analytic results in a clear and concise fashion to sponsors/clients at all levels, and to audiences of all sizes.
  • Summarize and synthesize large bodies of work down to the essential elements and convey those results effectively and efficiently, in both written and oral form, to the most senior leaders in client organizations.
  • Effectively communicate with & engage colleagues at all levels of the organization.
  • Effectively delegate responsibilities to the appropriate people and levels.
  • Develop internal and external networks of contacts and have a positive influence on those networks.
  • Play a key role in supporting corporate initiatives and support senior leadership initiatives to realize Surescripts' goals.

Qualifications:

Basic Requirements:

  • Master’s degree in Mathematics, Computer Science, Statistics, or other related field; or equivalent experience
  • 5+ years of experience in data science, data management and/or applying data analysis and reporting skills in a business context
  • 2+ years of experience with large healthcare transactional datasets / reporting
  • Expertise in programming languages to facilitate analysis (e.g. R, Python or MATLAB)
  • Expertise with SQL /PLSQL, Relational and NoSQL databases, and Structured and Unstructured data
  • Analytical background and research experience with large volumes of personal data
  • Ability to translate statistical analysis into a written and verbal presentation for non-data science audience.
  • Experience in statistical modeling using healthcare data
  • Experience developing training material and delivering training to user groups of 10 or more
  • Knowledge of privacy laws and regulations around health data (HIPAA)
  • Demonstrated proficiency using AI assistants across planning, design, implementation, and documentation (e.g., IDE/code assistants such as GitHub Copilot or Claude Code; chat-based assistants such as Microsoft Copilot; notebook/workbench assistants), with human review, traceability, and validation of AI-generated outputs.
  • Demonstrated experience providing QA oversight for analytics/ML deliverables (defining acceptance criteria, designing validation approaches, partnering with engineering/QA on test automation and release readiness).
  • Experience with AI-teaming techniques for refining technical solutions (prompt engineering, grounding/citation practices, evaluation rubrics and benchmarking, and documentation of AI-assisted decisions), including identifying and mitigating common failure modes (e.g., hallucinations, data leakage, insecure code).


Preferred Qualifications:

  • PhD degree in a quantitative field (e.g., Data Science, Statistics) or MBA
  • Health IT industry knowledge with a special focus on e-prescribing
  • Expertise in statistical analysis and rigor, statistical software (e.g., R, SPSS, or SAS)
  • Deep experience with large language models and/or natural language processing (e.g., fine-tuning, prompt/program orchestration, retrieval-augmented generation, or LLM evaluation frameworks) beyond baseline AI-assistant usage.
  • Familiarity with responsible AI practices (privacy, security, data handling, model risk considerations, and controls for AI-generated code/content) in regulated environments.
  • Project management experience
  • Google Cloud environment expertise
  • Experience with Google Cloud; comparable experience with AWS, Azure, Databricks, or Snowflake will also be considered.
  • Experience with MLOps frameworks such as GCP, DataBricks, or SnowFlake.

Keywords: data scientist, predictive analytics, machine learning AI, healthcare data

Surescripts embraces flexibility through its Flexible Hybrid Work model for most positions. This model allows employees to work virtually while still utilizing our offices as collaboration centers. With alignment and agreement from your leadership, you can come and go from the office as needed.
 

To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surecripts in the U.S. At this time, we are unable to provide support or provide sponsorship for immigration benefits such as work visas. Additionally, we do not participate in academic training programs or work-study programs through an academic institution that require employer endorsement of F-1/CPT or F-1/STEM.

Why Wait? Apply Now 

 
We’re a midsize company. This means you’re not just another employee ID number. Here, you can build real relationships and feel supported by truly awesome people with diverse backgrounds and talents in an innovative and collaborative work culture. We strive to create an environment where you can be yourself, share your ideas and work your way. We offer opportunities for employee development, as well as competitive compensation packages and extensive benefits.
 

At Surescripts, base pay is one part of our Total Rewards Package (which may also include bonus, benefits etc.) and is determined within a range. The base pay range for this position is $157,500 - $192,500 per year. Your base pay may vary within or outside of this range depending on a number of factors, including (but not limited to) your qualifications, skills, experience, and location.


Benefits include, but are not limited to, comprehensive healthcare (including infertility coverage), generous paid time off including paid childbirth and parental leave and mental health days, pet insurance, and 401(k) with company match and immediate vesting. To learn more, review the Keep You and Yours Healthy, Balancing Work and Life, and Where Talent Takes Shape links under the Better Benefits. Better Work. Better Life section of our careers site.
 

Physical and Mental Requirements

While performing duties of this job, an employee may be required to perform any, or all of the following: attend meetings in and out of the office, travel, communicate effectively (both orally and in writing), and be able to effectively use computers and other electronic and standard office equipment with, or without, a reasonable accommodation. Additionally, this job requires certain mental demands, including the ability to use judgement, withstand moderate amounts of stress and maintain attention to detail with, or without, a reasonable accommodation.

Surescripts is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate on the basis of race, color, religion, age, national origin, ancestry, disability, medical​​​ condition, marital status, pregnancy, genetic information, gender, sexual orientation, parental status, gender identity, gender expression, veteran status, or any other status protected under federal, state, or local law.


 

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Location & working pattern

United States

Keywords: data scientist, predictive analytics, machine learning AI, healthcare data Surescripts embraces flexibility through its Flexible Hybrid Work model for most positions. This model allows employees to work virtually while still utilizing our offices as collaboration centers. With alignment and agreement from your leadership, you can come and go from the office as needed. To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surecripts in the U.S. At this time, we are unable to provide support or provide sponsorship for immigration benefits such as work visas. Additionally, we do not participate in academic training programs or work-study programs through an academic institution that require employer endorsement of F-1/CPT or F-1/STEM.
Work authorization
Surescripts embraces flexibility through its Flexible Hybrid Work model for most positions. This model allows employees to work virtually while still utilizing our offices as collaboration centers. With alignment and agreement from your leadership, you can come and go from the office as needed. To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surecripts in the U.S. At this time, we are unable to provide support or provide sponsorship for immigration benefits such as work visas. Additionally, we do not participate in academic training programs or work-study programs through an academic institution that require employer endorsement of F-1/CPT or F-1/STEM. Why Wait? Apply Now

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