10 дней назад
Senior Biostatistician (AI/ML)
130 000 - 196 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Biostatistician (AI/ML): Leading statistical design and analysis for AI-enabled precision health products across feasibility, clinical validation, and post-market monitoring with an accent on clinical studies, real-world data, and evidence generation. Focus on defining estimands and analysis strategies, evaluating bias and generalizability, and communicating rigorous recommendations for regulated healthcare products.
Location: Dallas, Texas, United States
Base salary: $130,000–$196,000 per year, plus bonus, equity, and benefits.
Company
is a data platform and technology company developing AI-enabled precision health solutions from multimodal health data.
What you will do
- Lead statistical design and analysis across the product lifecycle, from feasibility and preclinical evaluation through clinical validation and post-market monitoring.
- Translate scientific and product questions into study objectives, estimands, analysis plans, and decision criteria.
- Analyze clinical, experimental, observational, real-world, and operational datasets to generate interpretable evidence.
- Evaluate data quality, bias, missingness, generalizability, model performance, and scientific integrity risks.
- Communicate study designs, assumptions, results, limitations, and recommendations through protocols, reports, presentations, dashboards, and cross-functional discussions.
Requirements
- Master’s degree or higher in biostatistics, statistics, epidemiology, data science, bioinformatics, biomedical informatics, or a related quantitative field.
- At least 5 years of experience applying statistical methods in clinical, biomedical, health technology, medical device, pharmaceutical, diagnostics, or life sciences research.
- Experience designing and analyzing observational studies, interventional clinical studies, and real-world data studies.
- Programming experience in R and/or Python with complex life science, biomedical, or healthcare datasets.
- Must not require employer-sponsored work authorization now or in the future for employment in the United States.
Nice to have
- Experience with diagnostics, medical devices, digital health, or AI/ML-enabled clinical products.
- Experience in health-regulated environments involving the FDA or other health authorities.
- Experience with EHR, claims, registry, device-generated, sensor, imaging, laboratory, or patient-reported data.
- Experience with Bayesian methods, adaptive trial designs, causal inference, reproducible research, Git, or AI-assisted development tools.
Culture & Benefits
- Cross-functional collaboration with medical, product, engineering, data science, regulatory, operations, and leadership stakeholders.
- Bonus, equity, and employee benefits are provided in addition to the base salary.
- Equal opportunity employment and applicant accommodation support are available.
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