Design, develop, and implement complex end-to-end data pipelines, engineer features and disease models to understand the intersection of health systems utilization and clinical research
Explore and implement the use of Generative AI models and systems to digest domain specific documents and semi-structured narrative data, harmonize across semantic models and concepts, accelerate analysis, and improve resilience of processes and procedures
Integrate real world data sources in order to build epidemiological and disease forecasting models used to support decision-making for clinical trial operations
Generate evidence and communicate results, including at conferences and in peer-reviewed publications for audiences in the therapeutic area of interest, sensor science, machine learning and operations research
Support integration, design and development of novel measures, models, and metrics to assess model validity and performance in both training and inference stages

Requirements

>= 5 years Pharma/Biotech/Tech/Healthcare industry experience, alternatively extensive experience in academic/clinical centers of excellence
Expertise in leveraging electronic health records and other data sources derived from clinical care via state of the art methodologies, programming languages, and tools
Experience working on machine learning and data science problems using formal software development lifecycle approaches and best practices as part of a software delivery organization
Profound experience in data science, machine learning, and data engineering programming using python/R and higher-level libraries such as numpy, pandas, scipy, statsmodels, scikit-learn, TensorFlow, matplotlib, Plotly, tidyverse ggplot, mlr, tidymodels or similar
Strong familiarity with large-language models and other encoder-encoder/encoder-decoder architectures, both as served and hosted endpoints and incorporated and fine-tuned for business processes

Benefits

Medical, Dental, Vision, & Life insurances
Fitness & Wellness programs including a fitness reimbursement
Short- and Long-Term Disability insurance
A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31)
Up to 12 company paid holidays + 3 paid days off for Personal Significance
80 hours of sick time per calendar year
Paid Maternity and Parental Leave benefit
401(k) program participation with company matched contributions
Employee stock purchase plan
Tuition reimbursement of up to $10,000 per calendar year
Employee Resource Groups participation

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data pipelinesGenerative AIepidemiological modelsdisease forecasting modelsmachine learningdata sciencedata engineeringpythonRsoftware development lifecycle

Soft Skills

communicationevidence generationpresentation skills