3 дня назад
Senior Computational Biologist (Precision Oncology)
166 980 - 220 660$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Computational Biologist (Precision Oncology) (computational biology/drug discovery): Integrating phenomics, transcriptomics, genomics, proteomics, and clinical data to discover and validate therapeutic targets and define precision oncology strategies with an accent on patient genetics, druggability, and early translational analysis. Focus on building target data packages, developing computational discovery methods, and connecting complex analyses with platform and engineering teams to advance drug programs.
Location: Hybrid, based in the Salt Lake City, Utah or New York, New York office; at least 50% office attendance required
Annual base salary: $166,980–$220,660 in New York City or $151,800–$200,600 in Salt Lake City, plus annual bonus and equity compensation.
Company
is a clinical-stage TechBio company using the AI-native OS and multimodal biological data to accelerate drug discovery and development.
What you will do
- Evaluate molecular evidence to nominate and validate targets in precision oncology.
- Pilot computational methods for target discovery, validation, and early patient population hypotheses.
- Define criteria for target data packages and early patient population strategies.
- Integrate analysis methods with platform and engineering teams to scale discovery capabilities.
- Collaborate with biologists, medicinal chemists, translational experts, portfolio leads, and data specialists to build decision-ready data packages.
- Present analyses to stakeholders and decision makers to support program milestones and investment decisions.
Requirements
- PhD in computational biology, bioinformatics, systems biology, cancer biology, or a related field with a strong computational focus and 3+ years of biotech or pharma experience; or an MS with 5+ years of relevant industry experience.
- Experience solving fundamental problems in early drug discovery.
- Domain expertise in precision oncology and target identification.
- Strong understanding of patient genetics and the druggability of disease-relevant pathways.
- Experience applying probabilistic, statistical, or machine learning methods to complex biological or clinical data using Python or R.
- Exceptional data visualization and cross-functional scientific communication skills.
Nice to have
- Experience building target discovery engines using public and proprietary datasets.
- Experience designing high-throughput CRISPR or small-molecule perturbation screens.
- Exposure to advancing drug programs from proof of concept to IND.
Culture & Benefits
- Collaborative work across computational science, biology, chemistry, engineering, and translational functions.
- Career development and technical feedback within a diverse computational drug discovery group.
- Annual bonus, equity compensation, and a comprehensive benefits package.
- Values centered on scientific integrity, experimentation, urgency, ownership, and cross-functional collaboration.
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