Senior Quantitative Scientist, Implementation
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Remote within the United States, with offices in New York City, San Francisco, and Knoxville. Permanent residency in one of the approved states is required; candidates near the Bay Area or New York City office hubs are preferred, with a strong preference for hybrid work in the New York metro area. Eastern or Central time zone residence is preferred. Relocation candidates are encouraged to apply.
Salary: $141,441–$176,801 USD annually, with a possible geographic premium.
Company
is a digital health company using real-world healthcare data, physician expertise, and artificial intelligence to generate insights for clinical development, commercial life sciences, and medical practice improvement.
What you will do
- Develop and implement robust, scalable analytic workflows using complex real-world healthcare data.
- Design, code, and execute analyses supporting real-world evidence for commercial life sciences projects.
- Establish best practices for code review, version control, reproducibility, documentation, and analytic workflows.
- Lead retrospective studies using electronic health record data, including statistical analysis planning and algorithm development.
- Advise on scalable processes and infrastructure while collaborating with Commercial, Product, Medical, and Engineering teams.
- Present findings to internal and external partners and contribute to methodological standards and scientific rigor.
Requirements
- Master’s degree, doctorate, or equivalent hands-on experience in engineering, computer science, mathematics, statistics, or a related quantitative field.
- At least 5 years of experience working with healthcare datasets, including EHR, outcomes, and complex or messy data.
- Expertise in R, Python, PySpark, AWS, Databricks, and Git-based workflows.
- Experience optimizing technical and analytic workflows and developing reproducible analyses.
- Experience supporting life sciences, pharmaceutical, or biotech organizations and analyzing observational datasets.
- Must have permanent residency in an approved U.S. state and legal authorization to work for any employer in the United States. Visa sponsorship and OPT/STEM extension support are not available.
Culture & Benefits
- Medical, dental, and vision insurance plans.
- 401(k) matching.
- Flexible time off and paid parental leave.
- Annual learning and wellness stipend.
- Inclusive environment focused on diversity, responsibility, integrity, customer voice, and results.
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