3 дня назад
Sr. Data Scientist, Translational Research (AI)
100 000 - 175 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Data Scientist, Translational Research (AI): Translating complex biomedical research questions into analytical workflows and actionable insights across genomic, clinical, and imaging datasets with an accent on statistical modeling, machine learning, and scientific client enablement. Focus on building LLM-powered agents, deploying data science workflows, and guiding researchers through large-scale biomedical data analysis.
Location: Chicago, United States
Salary: $100,000–$175,000 annually; the stated range applies to California and may vary for Colorado, Illinois, and New York.
Company
is a healthcare technology company using AI, genomic sequencing, and real-world data to support precision medicine and improve patient care.
What you will do
- Lead technical and scientific onboarding for clients using the Tempus Data Ecosystem and Lens analytical platform.
- Understand researchers’ hypotheses involving biomarker discovery, target identification, and clinical trial design.
- Design workflows, structure queries, and guide analysis of genomic, clinical, imaging, and other biomedical datasets.
- Use LLMs, co-pilot tools, and specialized AI agents to improve scientific data exploration and client workflows.
- Collaborate with Product, Engineering, and Data Science teams to prioritize features and resolve technical challenges.
- Create technical documentation, tutorials, and training materials for scientific analysis.
Requirements
- Master’s or Ph.D. in Computational Biology, Bioinformatics, Genomics, Data Science, or a related life science discipline.
- Experience analyzing large-scale biomedical datasets, including next-generation sequencing, clinical trial, or real-world data.
- Experience with statistical modeling, data mining, and/or machine learning methods.
- Fluency in Python or R; candidates whose primary language is Python must also have some R coding experience.
- Experience with software development, AWS or GCP, Docker, Git, GitHub, Linux, and cloud computing.
- Experience building LLM-based workflows or specialized AI agents, deploying data science workflows, and explaining complex concepts to technical and non-technical audiences.
Nice to have
- Biotech, pharmaceutical, healthcare technology, or oncology research experience.
- Experience with Pandas, NumPy, SciPy, scikit-learn, Jupyter, RStudio, tidyverse, ggplot, visualization libraries, Flask, Dask, HTML5, CSS3, JavaScript, or D3.
Culture & Benefits
- Fast-paced environment with collaborative work across scientific and technical teams.
- Benefits may include incentive compensation, restricted stock units, medical benefits, and other position-dependent benefits.
- Equal opportunity employment with consideration for qualified applicants with arrest or conviction records under applicable law.
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