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Tech Stack
Tools & technologiesNumpyPandasPySparkPythonPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- Design, develop, and implement complex end-to-end data pipelines
- Engineer features and forecasting models to understand the intersection of health systems utilization and clinical research
- Integrate real world data sources to build epidemiological and disease forecasting models supporting clinical trial operations decision-making
- Leverage constraints-based optimization, linear and non-linear programming, simulation, and network modeling to understand participant, investigator, and sponsor behaviors driving risk, benefit, and uncertainty in clinical trial outcomes
- Generate evidence and communicate results at conferences and in peer-reviewed publications for audiences in therapeutic areas, sensor science, machine learning, and operations research
- Support integration, design, and development of novel measures, models, and metrics to assess model validity and performance across the model lifecycle
Requirements
What you’ll need- >= 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, operations research, 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, operations research, and data engineering programming using Python/R and higher-level libraries such as numpy, pandas, scipy, statsmodels, scikit-learn, Google OR Tools, TensorFlow/PyTorch, pyspark, tidyverse, sparklyr, mlr, tidymodels or similar
- Strong familiarity with simulation and forecasting models used by business stakeholders and experience communicating results and improving models given feedback from end-users
- Experienced in communicating and building consensus on highly technical or sensitive information with technology and business teams
- Experience iterating through UI/UX patterns, data visualization, and front-end interactions and balancing across conflicting stakeholder preferences
- Formal application of principles of empirical science including statistical modeling, design of experiments, and hypothesis formulation and testing
- Advanced degree in public health, epidemiology, public health economics, operations research or a similar discipline
Benefits
Comp & perks- Regular employees are eligible for short-term and long-term incentives, including cash bonus and equity incentive opportunities
- 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
- 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