Applied ML Scientist, Clinical Risk Modelling

This is a fully remote position, open to applicants in Philippines.

📋 Description

• Construct retrospective patient cohorts utilizing longitudinal EHR data.

• Create time-windowed features from medical records while preventing temporal leakage.

• Design and perform internal validation of statistical and machine learning models that predict GLP-1 discontinuation and subsequent weight regain.

• Implement clinical-prediction statistics, including discrimination, calibration, and subgroup performance analysis.

• Convert model outputs into understandable risk tiers in collaboration with clinical advisors.

• Discover promising modeling strategies within a limited research timeframe.

• Document datasets, modeling choices, and validation outcomes to ensure reproducibility and facilitate future production deployment.

• Partner with software engineers to incorporate validated models into production systems.

• Handle de-identified EHR data within a secure data environment of a U.S. partner and collaborate with an obesity-medicine advisor.

⛳️ Requirements

• Educational background in statistics, biostatistics, epidemiology, health data science, machine learning, or a similar quantitative field.

• Approximately 3-6+ years of experience in developing clinical or tabular predictive models.

• Strong foundation in applied statistics.

• Proficiency in tabular machine learning techniques, including gradient boosting and regularized regression.

• Understanding of clinical-prediction methodologies, particularly calibration and validation processes.

• Experience in engineering features from EHR or other longitudinal datasets.

• Solid understanding of data leakage issues.

• Proficient in Python and the scientific Python ecosystem, including libraries such as Pandas, NumPy, scikit-learn, and others.

• Comfortable working within restricted clinical data environments.

• Knowledge of health data privacy regulations, including HIPAA and GDPR.

• Capacity to balance scientific rigor with practical decision-making in a dynamic research environment.

• Experience in survival or time-to-event modeling is an advantage.

• Prior experience with EHR or claims data, including ICD and RxNorm, particularly in the fields of obesity or metabolic disease, is a plus.

• Experience in developing models for production deployment is also advantageous.

🏝️ Benefits

• Competitive compensation based on expertise.

• Long-term remote work opportunities.

• Allowances for home office arrangements.

• Reimbursable allowance of up to $15K for home office setup.

• Standard five-day workweek from Monday to Friday.

• Flexible working hours.

• Flat management structure and an open-door policy.

• Work with cutting-edge technologies.

• Self-training programs with opportunities for additional earnings.

• Enrollment in HMO for up to three immediate dependents starting on your first day.

• Incentive-based wellness programs.

• Toastmasters, English classes, and various learning opportunities.

• Free consultations with Arcanys registered nutritionist-dietitians.

• Complimentary access to Arcanys CrossFit gym or a company-sponsored membership at another gym.