Sr. Director/Director Precision Oncology

Job Description

Job Description

Position Summary
Senior Director/Director Precision Oncology will be responsible for leading a dynamic Precision Oncology team to apply Aitia’s powerful Causal AI platform to oncology drug discovery and clinical development.  This role will manage and support a team of cross-functional scientists in the identification and preparation of large biological data sets, the application of our causal analysis platform, and the interpretation and communication of findings and insights.     The candidate will work closely with external partners to deliver novel insights that impact their decision-making and support Aitia’s internal research efforts in oncology. The Head of Precision Oncology will act as PI, providing technical and managerial oversight of all oncology-related projects with a specific focus on interpreting the biological and clinical findings in the context of precision oncology.
Responsibilities

• Manage and develop a team of direct reports responsible for start-to-finish development, implementation, and interpretation of oncology-related  in silico patient models and applications.
• Oversee and provide hands-on support as needed in the evaluation and preparation of multi-omic datasets, statistical analyses, interpretation, and validation.
• Support and participate in face-to-face presentations to current and prospective partners and collaborators 
• Provide support to the Business Development group by contributing to proposal development discussions and writing.

• PhD with experience in oncology research, including developing computational or statistical modeling and interpreting data focused on precision medicine, target identification, biomarker discovery, and patient stratification, 7-10 years of experience.
• Demonstrated aptitude for connecting computational results to biological or drug development insights
• Biopharma or CRO experience in applying precision medicine approaches to drug development or translational science is strongly preferred.
• Experience managing and leading technical teams
• Deep understanding of biological data and hands-on experience with a variety of omics data sets, including single-cell RNA-seq data
• Knowledge of standard bioinformatics pipelines, data processing, statistical modeling, and machine learning techniques. 
• An ability to manage and deliver on multiple projects simultaneously
• Proficiency in at least one statistical programming or numerical computing language
• Strong written and verbal communication; a clear ability to communicate technical material to non-technical audiences simply and clearly
• Experience working with advanced ML techniques, probability theory, Bayesian analysis, or causal inference methods is a plus

• Experience working in an interdisciplinary environment is a plus
• Passion to learn new things and solve problems

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