4 дня назад
Associate Director, Computational Biology – Early Discovery (Oncology)
200 000 - 220 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Associate Director, Computational Biology – Early Discovery (Oncology): Leading computational biology for oncology target discovery and early drug development by integrating phenomic, transcriptomic, genomic, and proteomic datasets with an accent on target nomination, disease biology validation, and precision oncology strategies. Focus on managing and mentoring computational scientists, developing probabilistic, statistical, and machine learning methods, and building data packages that guide therapeutic program and portfolio decisions.
Location: Salt Lake City, Utah, United States; hybrid office-based position with at least 50% of working time in the office
Annual base salary: $200,000–$220,500, plus annual bonus, equity compensation, and benefits.
Company
is a clinical-stage TechBio company using an AI-native drug discovery and development platform to integrate biology, chemistry, and clinical development.
What you will do
- Lead early discovery efforts to identify and validate oncology and immunological disease targets.
- Integrate phenomics, transcriptomics, genomics, and proteomics data to nominate novel targets and define precision oncology strategies.
- Manage and mentor a team of data scientists and computational biologists while contributing directly to technical work.
- Pilot computational methods for target discovery, disease biology validation, and early patient population hypotheses.
- Define target data package criteria and connect analysis methods with platform and engineering teams.
- Collaborate with biologists, medicinal chemists, translational experts, and clinical leads to build data packages and present analyses to decision-makers.
Requirements
- PhD in computational biology, bioinformatics, cancer biology, immuno-oncology, or a related field with a strong computational focus and 3+ years of biotech or pharma industry experience; or an MS with 5+ years of relevant industry experience.
- Experience solving fundamental problems in early drug discovery.
- Domain expertise in oncology or immunological diseases, including patient genetics and druggability of disease-relevant pathways.
- Experience applying probabilistic, statistical, or machine learning methods to complex biological or clinical data using Python or R.
- Track record of managing and developing scientific or technical direct reports.
- Strong data visualization and cross-functional scientific communication skills.
Nice to have
- Experience building a target discovery engine in oncology or immunological diseases.
- Experience designing high-throughput CRISPR or small-molecule perturbation screens.
- Exposure to translational or clinical development programs and target validation model selection.
Culture & Benefits
- Hybrid work model with regular office presence at the Salt Lake City headquarters.
- Annual bonus and equity compensation.
- Comprehensive employee benefits package.
- Culture emphasizing scientific rigor, experimentation, continuous learning, ownership, and cross-functional collaboration.
- Equal opportunity employment and accommodations available during the selection process.
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