Company Overview:
Here's a brief overview…Our client has 10+ years of experience as a U.S. based medical device company. Their product is non-invasive and strives to improve patient care and better surgical outcomes
Compensation & Benefits: Our client offers a competitive $85k-$125k+ Base (Negotiable/Flexible DOE) + quarterly bonus, full comprehensive benefits, 401k, PTO, etc.
About the Role:
We are seeking a Data Analyst/Scientist to join our team and support the development, maintenance, and expansion of advanced data and AI/ML-driven solutions in the healthcare space. The ideal candidate will have hands-on experience with Python and SQL, cloud data pipelines, and predictive modeling, as well as the ability to collaborate with external partners and manage cross-functional projects.
Key Responsibilities:- Manage AI/ML systems that extract structured data from unstructured pdf’s and combine with IoT device data to generate actionable insights
- Develop and refine these models through prompt engineering, training and validation
- Perform statistical analyses and maintain statistical/analytic models in Python
- Regularly refresh models and expand datasets to support new analyses and clinical use cases
- Utilize SQL, Snowflake, and Azure Data Factory to extract, transform, and load data
- Collaborate with external data engineering consultants to enhance system capabilities and data pipelines
- Partner with clinical and business stakeholders to define requirements and deliver data-driven insights
- Lead and manage data projects from planning through execution, ensuring timely delivery and quality outcomes
Qualifications:- 3–5 years of professional experience as a Data Analyst, Data Scientist, or related role
- Proficiency in Python (statistical analysis, machine learning, predictive modeling)
- Strong SQL skills with experience in Snowflake and Azure Data Factory
- Experience managing projects and working with third-party data engineering consultants
- Familiarity with prompt engineering, model training, and validation a plus
- Strong problem-solving skills and the ability to translate complex data into actionable insights
- Excellent communication and collaboration skills, especially in working with clinical or non-technical stakeholders
Preferred Skills:- Background in healthcare or life sciences data
- Experience with IoT data integration
- Knowledge of gradient boosting frameworks (e.g., XGBoost, LightGBM, CatBoost)
- Understanding of modern data architecture and cloud-based data solutions
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Crawford Thomas Recruiting