Specialist, Data Science – Remote
Frankfort, Franklin County, Kentucky, 40601, USA
Listed on 2025-12-30
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IT/Tech
Data Analyst, Data Scientist
Job Description
The Specialist, Advanced Analytics will work with our partners across GCTO to help address critical business questions beyond simple descriptive or diagnostics dashboards and/or reports. This individual will work independently and/or with a cross-functional team, consisting of subject‑matter and technical experts, to define and execute data modelling processes to create algorithms, predictive models, and analysis related to clinical trial operations.
Primary responsibilities include:
- Solve complex problems; takes a broad perspective to identify & deliver innovative solutions
- Execute advanced analytics that includes predictive, prescriptive, & machine learning/AI capabilities
- Build prototypes for early user validation
- Identifying and acquiring data based on business needs to enhance or complement current solutions/data sets
- Executing methods of retrieving, blending, and organizing data to develop innovative solutions
- Ensure data science investments are maximized by data‑driven initiatives, data quality and governance, data access, and tools
- Executes identified improvements to products, processes, or services
- Build knowledge of the competitive landscape and identify areas of competitive differentiation
- Build knowledge of state‑of‑the‑art innovations in data science from both academic and industry sources
- Aptitude/skills for “getting things done” in a complex work environment is required.
- Bachelor’s degree in quantitative and/or sciences.
- Experience in clinical development or operations.
- A minimum of two years of data analytics experience.
- Data wrangling, exploration/mining.
- Statistical modelling and machine learning.
- At least one programming language — R/ Python.
- BI tools (i. e. Qlik, Microsoft Power BI, Tableau).
- Software development lifecycle (SDLC).
- Use case development.
- Demonstrated presentation skills.
- Familiarity with applicable data privacy practices and laws.
- Proven abilities to take initiative and be innovative; high “figure‑it‑out” quotient.
- Communication skills including the ability to explain difficult concepts and influence others to adopt a different point of view, when appropriate.
Artificial Intelligence (AI), Business Communications, Business Intelligence (BI), Business Management, Business Model Development, C++ Programming Language, Clinical Development, Communication Management, Computer Science, Data Analysis, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning (ML), Programming Languages, R Programming, Software Development, Stakeholder Relationship Management, Statistical Data Modeling, Statistical Machine Learning, Statistics, Systematic Problem Solving, Waterfall Model
US and Puerto Rico Residents OnlyOur company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please if you need an accommodation during the application or hiring process.
U.S. Hybrid Work ModelEffective September 5, 2023, employees in office‑based positions in the U.S. will be working a Hybrid work consisting of three total days on‑site per week, Monday – Thursday, although the specific days may vary by site or organization, with Friday designated as a remote‑working day, unless business critical tasks require an on‑site presence. This Hybrid work model does not apply to, and daily in‑person attendance is required for, field‑based positions;
facility‑based, manufacturing‑based, or research‑based positions where the work to be performed is located at a Company site; positions covered by a collective‑bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.
Range
$ – $
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this…
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