Computational Biologist

Seeking a highly motivated and experienced Senior Computational Biologist with expertise in biology and computational biology. The successful candidate will be responsible for analyzing early-stage biomarker and multi-omics data, mining publicly available data sources, and designing experiments to validate model predictions. This role requires communicating computational results and outcomes to a multidisciplinary team of scientists, external collaborators, and partners.

Job Responsibilities

• Lead analysis and interpretation of molecular and functional datasets from ongoing clinical evidence and preclinical studies.
• Leverage understanding of clinical disease/biology to drive and test hypotheses. Collaborate very closely with translational, clinical, and preclinical immunology teams. 
• Design, implement, and document algorithms and pipelines, ensuring their alignment with the objectives of ongoing and future projects. 
• Formulate research hypotheses and develop computational methods to enhance biological interpretation of predictive models.
• Build initial prototypes of predictive models in the space of cancer and immunological biology, drug response, and patient outcome prediction.
• Clearly communicate analysis results including key takeaways to diverse audiences. Lead discussions and present analysis to members within and outside of the research science team.

Qualifications And Education Requirements

• PhD, MS, or equivalent in computational biology, genomics, biology or related discipline.
• Experience with analyzing and interpreting preclinical and clinical biomarker datasets and mining publicly available data. Demonstrated ability to generate biological insights from omics data, through peer-reviewed publications or relevant work products.
• Track record of completed scientific projects as evidenced by publications and preprints
• Familiarity with drug screening databases (CTRP, GDSC, PRISM) and publicly available cancer datasets (CCLE, DepMap, TCGA, AACR Project GENIE, etc.)
• Deep understanding of biostatistics and data analysis tools.
• A critical mindset for data integrity quality assurance, and documentation.

Excellent communication skills and ability to tell the data story

Posted On: Wednesday, August 28, 2024