Computational Scientist - Oncology

Job Description

Job Title: Computational Scientist - Oncology

Location: Remote in the US or Canada is OK, but must be available during PST business hours.

Duration: 12+ months, with possibility for extension

Pa Rate: $40-$45/Hr.W2

Responsibilities

● Collaborate with scientists in Computational Oncology and Translational Medicine to analyze clinical datasets to address scientific hypotheses and deliver novel insights.

● Develop analytical approaches to integrate and interpret these data, delivering insights into disease biology and mechanisms of action to propel our pipeline and clinical research goals.

● Synthesize complex computational results into clear, actionable insights for internal medical stakeholders and external scientific publications.

● Thoroughly document code, analysis processes, and findings.

Requirements

● Experience (3-4 years) in the analysis of large-scale bulk data (RNA, WES), single-cell RNA-seq, ctDNA, clinical, and real-world data including gold-standard methods and novel, advanced analytical techniques such as: ○ Multivariate statistical analyses ○ Multimodal data integration methods ○ Predictive/Prognostic analyses including Kaplan–Meier survival analysis

● Expertise in the following areas: cancer biology, clinical omics data, with real-world data experience a bonus.

● Master’s or PhD in Computational Biology, Bioinformatics, or a related field.

● Proficiency in R and shell scripting, with knowledge of Python a bonus.

● Experience working with Git and high-performance computing.

● High self-motivation and commitment to delivering high-quality results.

● Ability to produce high-quality analysis results with minimal supervision, including meeting key deadlines and making independent decisions.

● Excellent communication skills and experience working as part of a team.

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