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Data Scientist II

Spectraforce Technologies
United States, Illinois, North Chicago
Feb 03, 2026
Position Title: Data Scientist II

Work Location: North Chicago, IL (Hybrid)

Assignment Duration: 6 months (possibility of extension)


Position Summary:

Connects with cross-functional teams to design work product and as an analytics consultant. Anticipates and identifies issues that could affect timelines or quality and develops options and solutions.

Key Responsibilities:

* Connects with cross-functional teams to design work product and as an analytics consultant. Anticipates and identifies issues that could affect timelines or quality and develops options and solutions.

* Leads and helps establish the design principles and standards to ensure analytical work product is consistent across projects where appropriate and that user experience is optimized.

* In addition to standard statistical methods, develops prototypes, test methods and algorithms. Leverages emerging statistical methodologies, ML and AI to drive innovative analytical solutions to create insights.

* Enables data-driven insights to support of clinical development continuum, including precision medicine.

* Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development.

* Identify business needs and support the creation of standard KPIs, reports, and statistical analyses.

* Responsible for coaching and mentoring junior team members.

* Work side by side with cross-functional teams as an analytics consultant to strategize on how analytics can help evaluate the progress of clinical trials, as well as facilitate discussions around emerging risks; Applies machine learning techniques to validate assumptions and predict future behavior.

Qualification & Experience:

* Masters or PhD with 3-5 years experience.

* 3-5 years of analytics related experience in clinical research. Experience with clinical data preferred.

* Advanced career level proficiency in R and Python or other statistical packages.

* Expert proficiency with Machine Learning, NLP, and other advanced analytics techniques.

* 1+ years experience with agentic frameworks such as LangGraph, OpenAI agents, etc. (including orchestration with tool-use), LLMs, vector databases, and retrieval pipelines (RAG).
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