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Computational Biology Intern - Summer 2021

CARDINAL INTERNSHIP: Remote. A Wes parent at ORIC wants Wes students and 2020 grads to apply for this paid summer position. Outstanding professional development opportunity. Apply immediately.

TO APPLY: apply with your approved resume through Handshake. Include a brief cover letter (two paragraphs) explaining your qualifications and your specific interest in ORIC's work.

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 paid summer internship in the Translational Medicine group to a highly motivated computational biology student or 2020 grad. You will take part in the translational and biomarker efforts for ORIC’s development programs as member of a multi-disciplinary team, working closely with biomarker, biology, and computational biology scientists. You will study the molecular signatures 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 and build a foundation for your future career, while contributing to meaningful projects.

Responsibilities:
  • Perform computational analyses on high-throughput genomics data from 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 visualizations

Qualifications:
  • Major in computational biology, bioinformatics, statistics, computer science or a related field (we will consider PhD students or undergraduate 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, 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 verbal and written communication skills
  • Ability to work independently and as part of a team

About ORIC Pharmaceuticals:
ORIC Pharmaceuticals is a clinical stage biopharmaceutical company dedicated to improving patients’ lives by Overcoming Resistance In Cancer. ORIC’s lead product candidate, ORIC-101, is a potent and selective small molecule antagonist of the glucocorticoid receptor, which has been linked to resistance to multiple classes of cancer therapeutics across a variety of solid tumors. ORIC-101 is currently in two separate Phase 1b trials of ORIC-101 in combination with (1) Xtandi (enzalutamide) in metastatic prostate cancer and (2) Abraxane (nab-paclitaxel) in advanced or metastatic solid tumors. ORIC’s other product candidates include (1) ORIC-533, an orally bioavailable small molecule inhibitor of CD73, a key node in the adenosine pathway believed to play a central role in resistance to chemotherapy- and immunotherapy-based treatment regimens, (2) ORIC-944, an allosteric inhibitor of the polycomb repressive complex 2 (PRC2) via the EED subunit, being developed for prostate cancer, and (3) ORIC-114, a brain penetrant inhibitor designed to selectively target EGFR and HER2 with high potency against exon 20 insertion mutations, being developed across multiple genetically defined cancers. Beyond these four product candidates, ORIC is also developing multiple precision medicines targeting other hallmark cancer resistance mechanisms. ORIC has offices in South San Francisco and San Diego, California. For more information, please go to http://oricpharma.com/.