4 дня назад
Scientist II, Translational Research
100 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Scientist II, Translational Research (AI/Precision Medicine): Designing and executing computational research projects for pharmaceutical clients by integrating clinical, molecular, and multimodal datasets to advance drug discovery and precision medicine with an accent on oncology, immunology, clinical trials, and real-world evidence. Focus on co-architecting client solutions, applying AI to drug development, communicating complex research findings, and translating partner strategies into implementable platform opportunities.
Location: Redwood City, California; travel approximately 25% domestically and internationally.
Salary: $100,000–$150,000 annually for California-based work. Salary ranges may vary for Colorado, Illinois, and New York.
Company
develops an AI-powered precision medicine platform that connects real-world clinical and molecular evidence to support treatment decisions and drug development.
What you will do
- Partner with pharmaceutical clients to design, develop, and execute computational research projects using the Tempus platform.
- Analyze and integrate large clinical, molecular, transcriptomic, and other multimodal datasets to identify research insights and opportunities.
- Develop client solutions and global account strategies in collaboration with account, Product, Engineering, and Data Science teams.
- Co-architect projects that address customer challenges and provide technical guidance to biopharma partners.
- Document, summarize, and present technical methods and results to non-technical and diverse audiences.
- Author whitepapers and provide leadership with feedback on client needs, product opportunities, and strategic objectives.
Requirements
- PhD in a quantitative discipline such as biostatistics, statistical genetics, cancer genetics, bioinformatics, computational biology, or computational immunology; alternatively, a PhD in molecular biology or immunology with a strong computational biology record.
- At least 4 years of experience in drug development using genomic and multimodal data for drug discovery and development.
- Strong understanding of molecular data, AI in drug discovery, cancer, immunology, clinical trials, and real-world evidence platforms.
- Experience integrating multimodal clinical and omics data, including large transcriptome datasets.
- Proficiency in R, Python, and SQL.
- Ability to communicate insights clearly, influence internal and external stakeholders, and work in interdisciplinary teams.
Nice to have
- Consulting or client-facing experience.
- Strong peer-reviewed publication record.
- Experience with Pandas, NumPy, SciPy, scikit-learn, Jupyter Notebooks, RStudio, tidyverse, ggplot, Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plotly, Flask, Dask, Docker, and AWS.
Culture & Benefits
- Opportunity to contribute to precision medicine and healthcare innovation.
- Fast-paced, interdisciplinary environment with shifting priorities.
- Medical and other benefits, incentive compensation, and restricted stock units may be available depending on the position.
- Equal opportunity employment with consideration for qualified applicants with arrest or conviction records in accordance with applicable law.
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