RefinedScience aims to advance care by integrating science, data, and expertise to discover pathways to life beyond disease, focusing on clinical research, health outcomes studies, and innovative trial designs.
Requirements
- Strong proficiency in R, Python, and SQL (experience with Quarto or R Markdown/Shiny is preferred).
- Applied experience with reproducible coding practices and package, function, and software development.
- Proficiency in Linux, GitHub, and cloud platforms (AWS/GCP).
- Hands-on experience with large-scale data processing pipelines and applied ML/statistical methods.
- Demonstrable problem-solving skills with evidence of tackling complex analytical challenges.
- Publication records in major journals, conferences, or scientific proceedings related to health-care informatics.
Responsibilities
- Implement cutting-edge statistical and machine learning (ML) algorithms to solve complex biomedical, epidemiologic, and clinical problems.
- Design and validate inferential and causal models to support hypothesis-driven research.
- Develop and deploy reproducible models for analyzing large-scale clinical and real-world healthcare datasets.
- Manage, preprocess, and transform structured and unstructured clinical data adhering to best practices in reproducibility and data integrity.
- Investigate and conduct advanced data visualization and communication to enable scientific insight generation and stakeholder communication.
- Generate real-world evidence (RWE) and clinical insights by evaluating model performance, uncertainty, and generalizability.
- Collaborate effectively with clinicians, key opinion leaders, researchers, data engineers, software developers, business stakeholders, and bioinformaticians to formulate clinical questions into actionable analysis plans and strategies.
Other
- Excellent written and verbal communication skills for both technical and non-technical stakeholders.
- Proven ability to work in collaborative, multidisciplinary teams.
- We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas.
