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Über
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 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 Sc
ientist
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). Th
is
role
will lead efforts around process improvemen
t to enhance team effectiveness
in
leveraging
advanced analytics tools and techniques in our Google Cloud environment
.
In support of the Data Literacy Program, t
he
Senior Data Scientist
will
be responsible for
developing training
and information
materials on new
techniques/
tool
s
/reports across the enterprise to ensure rapid and effective adoption of
insights derived from
advanced 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 to
collect and
analyze large datasets
and
identify
patterns
by d
evelop
ing
predictive models
,
deep learning algorithms, and frameworks
using tools like TensorFlow and
PyTorch
.
Leverage
model farms and other AI repositories for
development
of innovative data processing pipelines to deliver value to the business.
Model Development:
Design, build, and
validate
predictive models to solve business problems.
Provide team leadership to ensure
provenance and traceability in
MLOps
development 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 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.
S
ummarize 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 d
elegate
responsibilities to the
appropriate people
and levels.
Develop internal and external networks of contacts and ha
ve
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
5
years of experience with large
healthcare
transactional datasets/reporting
5
years of experience in healthcare transaction data
, including QA,
testing
and 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 volume
s
of person
al
data
Ability to translate statistical analysis into a written and verbal presentation for
non
-data science audience.
Experience
in
s
tatistical 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 (HIP
A
A)
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
MLOps
frameworks
such as GCP,
DataBricks
, or
SnowFlake
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
b
e
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.
Sprachkenntnisse
- English
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