Data Scientist - Biotechnology

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* Please Note:

The specific location for this role is Mettawa, IL***

Our client, a leading Biotechnology company seeking an experienced Data Scientist who has experience working within clinical research. See below for other details!

• 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 Lang Graph, OpenAI agents, etc. (including orchestration with tool-use), LLMs, vector databases, and retrieval pipelines (RAG).

• 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

• Masters or PhD with 3-5 years experience