ORIC is a research-driven company dedicated to discovering and developing novel therapies that can Overcome Resistance In Cancer. Our collaborative, empowering culture gives scientists the authority, responsibility, and support to do cutting-edge work on therapies for treatment-resistant cancers. Our culture and values support our mission, provide a shared understanding of how we work together as a company and provide a clear sense of what is most important for us as an organization.
ORIC Pharmaceuticals, Inc, is a clinical stage oncology company dedicated to improving patients’ lives and focused on developing treatments that address mechanisms of therapeutic resistance. We are excited to offer an 8–10-week summer internship in the Bioinformatics group to an enthusiastic student. You will take part in the computational modeling of translational and biomarker data for ORIC’s development programs as member of a multi-disciplinary team, working closely with biomarker, biology, and bioinformatics scientists. You will study the molecular characteristics of cancer and translate preclinical findings to guide future development of ORIC’s expanding clinical portfolio. This position provides the opportunity to obtain hands-on biotechnology experience under close mentorship, while contributing to meaningful projects.
Responsibilities
Perform computational analyses on high-throughput data from preclinical and clinical oncology samples
Apply modern statistical and machine learning methods to inform biomarker discovery
Leverage internal and publicly available genomic datasets to identify cancer indications and patient subsets for ORIC’s development and early-stage pipeline
Communicate results verbally and through impactful presentation in team meetings
A major in computational biology, bioinformatics, statistics, computer science, or a major related to biological sciences with quantitative analysis experiences (we will consider PhD or Master’s students with relevant experience)
Experience in the analysis and interpretation of data generated by next-generation sequencing (such as RNA-seq, ChIP-seq, ATAC-seq), microarrays, and/or proteomics
Understanding of the statistical principles and best practices in genomic and molecular data analysis
Strong experience in the use of R or Python for complex data analysis and data visualization
Excellent oral/written communication skills and interpersonal skills
Ability to work both independently and collaboratively
Conditions
On-site in South San Francisco
30-40 hours per week
Laptop provided by company
Must be fully vaccinated including booster and follow company Covid-19 safety protocol if on-site
No employment sponsorship
No benefits
No Relocation/Housing
Pay Rate: $29/hr. (Master); $35/hr. (PhD)
ORIC Pharmaceuticals, Inc. is an equal opportunity employer. ORIC does not discriminate based on race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status, or any other legally protected characteristic.
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