Senior Manager, Analytical AI Clinical Development

Scorpion Therapeutics; Princeton (NJ); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Health coverage

Wellbeing programs

401(k)

Disability insurance

Life/accident insurance

Job summary

Scorpion Therapeutics seeks a Senior Manager– Analytical AI in Clinical Development to lead end‑to‑end ML pipelines for optimizing study design and execution. You will automate complex data workflows (protocols, real-world evidence, recruitment data) and ensure scalable, reliable real-time decision support.

You will collaborate with IT, medical, development and biostatistics teams to co‑develop AI solutions aligned with business priorities and translate insights into actionable operational

Qualifications

• Education: BA/BS in quantitative field; MS/MBA/Ph.D. preferred.
• Experience: 3+ years hands-on ML pipeline development/deployment with measurable business impact.

Responsibilities

• Develop and deploy end-to-end machine learning pipelines to optimize clinical study design and execution.
• Automate workflows to process/analyze complex datasets (clinical trial protocols, real-world evidence, patient recruitment data).
• Ensure scalability, reliability, and robustness for real-time decision support.
• Partner with cross-functional teams (IT, medical, development, biostatistics) to co-develop AI solutions aligned to business priorities.
• Translate technical insights/model results into actionable clinical operations strategies.
• Oversee AI product lifecycle (ideation → development → deployment → monitoring) with project plans aligned to clinical timelines; conduct post-deployment impact analysis.
• Continuously integrate AI advancements (e.g., NLP, predictive analytics) into clinical trial workflows.

Skills

Python

SQL

NLP

LLMs

RWD

Time series forecasting

Monte Carlo simulations

Communication

Leadership

Big data

Education

BA/BS in quantitative field

MS/MBA/Ph.D. preferred

Tools

TensorFlow

PyTorch

scikit-learn

Airflow

Dagster

AWS

Azure

Git/GitHub

Job description

Senior Manager– Analytical AI in Clinical Development

Key Responsibilities

• Develop and deploy end-to-end machine learning pipelines to optimize clinical study design and execution.
• Automate workflows to process/analyze complex datasets (clinical trial protocols, real-world evidence, patient recruitment data).
• Ensure scalability, reliability, and robustness for real-time decision support.
• Partner with cross-functional teams (IT, medical, development, biostatistics) to co-develop AI solutions aligned to business priorities.
• Translate technical insights/model results into actionable clinical operations strategies.
• Oversee AI product lifecycle (ideation → development → deployment → monitoring) with project plans aligned to clinical timelines; conduct post-deployment impact analysis.
• Continuously integrate AI advancements (e.g., NLP, predictive analytics) into clinical trial workflows.

Qualifications

• Education: BA/BS in quantitative field; MS/MBA/Ph.D. preferred.
• Experience: 3+ years hands-on ML pipeline development/deployment with measurable business impact.

Required/Preferred Skills

• Statistical methods; supervised/unsupervised/RL with TensorFlow/PyTorch/scikit-learn.
• Time series forecasting; Monte Carlo simulations.
• Proficient in Python and SQL.
• CI/CD + Git/GitHub; MLOps; cloud (AWS/Azure); orchestration (Airflow/Dagster).
• Highly preferred: NLP + LLMs; RWD; plus bioinformatics/computational biology; Streamlit/Dash/Shiny.
• Communication/presentation; leadership and stakeholder collaboration.

Benefits (explicit)

• Health coverage (medical, pharmacy, dental, vision); wellbeing programs (EAP, etc.); 401(k), disability, life/accident/supplemental insurance.