Senior Data Scientist

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.

JobSummary:

The Senior Data Scientist 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, andoptimizepowerful 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 Scientistis expected topossessexpert business, data, and analyticsexpertiseto handle complex advanced analytics initiatives. TheSenior Data Scientistis self-motivated and able to work under limited supervision from management, can manage multiple complex and significant projects simultaneously, andis responsible formaking connections and integrating work across teams and departments. Working closely with data solutions architects and other leaders, theSenior Data Scientistensures alignment of prioritization of work andappropriate allocationof resources, while applying responsible, secure, and privacy-aware AI-assisted workflows (human-in-the-loop review, traceability, and validation of AI-generated outputs).

Thisrolewill lead efforts around process improvement to enhance team effectivenessinleveragingadvanced analytics tools and techniques in our Google Cloud environment.In support of the Data Literacy Program, theSenior Data Scientistwillbe responsible fordeveloping trainingand informationmaterials on newtechniques/tools/reports across the enterprise to ensure rapid and effective adoption ofinsights derived fromadvanced analytics techniques.

Responsibilities:

• Data Exploration: Explore and preprocess data from various sources, measuring and ensuring data quality and integrity.Enrich data with external,auxiliary, or commercial data sets to enhance suitability for monetization or AI/ML.

• Advanced Analytics: Apply statistical and machine learning techniques tocollect andanalyze large datasetsandidentifypatternsby developingpredictive models,deep learning algorithms, and frameworksusing tools like TensorFlow andPyTorch.Leveragemodel farms and other AI repositories fordevelopmentof innovative data processing pipelines to deliver value to the business.

• Model Development: Design, build, andvalidatepredictive models to solve business problems.Provide team leadership to ensureprovenance and traceability inMLOpsdevelopment cycles.

• 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 acceleraterequirementsclarification, 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, andevaluationrubrics; document prompts, assumptions, and decisions for repeatability.

• Mentorship: Provide guidance and mentorship toother datascientists,analystsand engineerswithin 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 withincompanythe 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 supportongoing data quality assessment and improvementinitiatives.

• Understandall applicable data privacyand security laws, rules,regulations, and contractual restrictions, and follow all Surescripts data governance and data usage rights policies and procedures.

• Documentaccess and userequirements foradvanced analyticsdata/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 delegateresponsibilities to theappropriate peopleand levels.

• Develop internal and external networks of contacts and havea positive influence on those networks.

• Play a key role in supporting corporate initiatives andsupportsenior leadership initiatives to realize Surescripts' goals.

Qualifications:

Basic Requirements:

• Master’sdegreein Mathematics, Computer Science, Statistics, or other related field;or equivalent experience

• 5+ yearsof experience indata science,datamanagement and/or applying data analysis and reporting skills in a business context

• 5years of experience with largehealthcaretransactional datasets/reporting

• 5years of experience in healthcare transaction data, including QA,testingand reporting

• Expertisein programming languages tofacilitateanalysis (e.g.R, Python or MATLAB)

• Expertisewith SQL /PLSQL, Relational and NoSQL databases, and Structured and Unstructured data

• Analytical background and research experience with large volumesof personaldata

• Ability to translate statistical analysis into a written and verbal presentation fornon-data science audience.

• Experienceinstatistical modeling using healthcare data

• Experience developing training material and delivering training to user groups of10or more

• Knowledge of privacy laws and regulations around health data (HIPAA)

• Demonstratedproficiencyusing 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), includingidentifyingand mitigating common failure modes (e.g., hallucinations, data leakage, insecure code).

Preferred Qualifications:

• PhDdegree in a quantitative field (e.g.,Data Science, Statistics)or MBA

• Health IT industry knowledgewith a special focus on e-prescribing

• Expertiseinstatistical 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 Cloudenvironmentexpertise

• Experience withMLOpsframeworkssuch as GCP,DataBricks, orSnowFlake

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 youcanbe yourself, share your ideas and work your way. We offer opportunities for employee development, as well as competitive compensation packages and extensive benefits.

Benefits include, but are not limited to, comprehensive healthcare (including infertility coverage), generous paid time off including paid childbirth and parental leave andmental 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.