AI Scientist

Post Date

Mar 20, 2026

Location

New York,
New York

ZIP/Postal Code

10016
US
Jun 03, 2026 Insight Global

Job Type

Contract

Category

Database Administrator (DBA)

Req #

DGH-817d69c6-37e0-4697-9303-cfaccf65ac46

Pay Rate

$56 - $70 (hourly estimate)

Job Description

Insight Global is looking for an AI Scientist to join a dedicated team building and evolving a clinical data platform serving the clinical operations space. You will design and implement machine learning models that power insights across the clinical trial lifecycle — working with large-scale healthcare datasets spanning publications, clinical trials, medical claims, and provider data.

This is a backend, data-intensive role. You will work at the intersection of machine learning research and production data systems, building models that run at scale and integrate into real-world clinical workflows. You should be comfortable moving from research to implementation in a fast-paced, applied setting.

Responsibilities Include:
· Design, develop, and deploy machine learning models to extract insights from clinical and healthcare data — including NLP tasks across publications, trial records, and medical claims
· Build and optimize ML pipelines on large-scale distributed systems using Apache Spark and cloud-native tools
· Work with structured and unstructured data sources to develop predictive models, classification systems, and entity resolution approaches
· Collaborate with data engineers to integrate ML models into production ETL pipelines and ensure scalability and reliability
· Partner with MLOps teams to operationalize models — including monitoring, retraining, and versioning workflows
· Evaluate and benchmark model performance and present findings to both technical and non-technical stakeholders

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Required Skills & Experience

· 5+ years of hands-on experience in machine learning, data science, or applied AI roles
· Experience working closely with data engineering and MLOps teams in production environments
· Strong proficiency in Python; working knowledge of SQL and R
· Deep experience with ML frameworks such as TensorFlow and PyTorch
· Proven experience building and running models on large-scale data pipelines using Apache Spark (PySpark)
· Exposure to NLP techniques — including text classification, named entity recognition, information extraction, and transformer-based models
· Familiarity with cloud platforms (Azure preferred) and tools such as Databricks, Delta Lake, and Kubernetes
· Comfortable working independently in a remote setting with a distributed, cross-time zone team

Nice to Have Skills & Experience

· Background in healthcare, life sciences, pharma, or clinical research is a strong plus

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.