Job Description

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.

Job Description

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 Medicinal Chemistry group to a highly motivated student. You will take part in efforts to design and prioritize drug leads with optimal properties for ORIC’s discovery programs. As a member of a multi-disciplinary team, working closely with medicinal chemists and DMPK scientists you will have the opportunity to gain exposure of working with a fast-paced drug discovery team. This position provides the opportunity to obtain hands-on biotechnology experience under close mentorship, while contributing to meaningful projects. 

Responsibilities 

• Apply machine learning methods to develop predictive models for compound design and prioritization 

• Leverage internal datasets, identify and curate publicly available DMPK datasets to use for model training 

• Leverage open-source toolkits for molecular feature extraction, and model building

• Maintain detailed documentation of methodology and underlying code 

• Communicate results verbally and through impactful presentation in team meetings and working groups 

Qualifications

• Currently enrolled as a full-time student in a Bachelor’s/Masters/PhD program at an accredited US based university or college, majoring in Computational Chemistry, Cheminformatics, Computer Science, Data Science, Machine Learning or related programs (we will consider PhD, masters, or undergraduate students with relevant experience) 

• Must be at least 18 years old with a minimum GPA of 2.8 

• Knowledge and experience in modern machine learning methods, feature extraction, and model evaluation for building robust and predictive models using sparse datasets 

• Strong experience in using Python for complex data analysis, data visualization, and building ML models 

• Knowledge of using REST API, web scraping methods for data extraction, data pipelining methods (e.g. KNIME), and chemistry toolkits (e.g. RDKit) will be preferred 

• Excellent oral/written communication skills and interpersonal skills 

• Ability to work both independently and collaboratively 

Conditions 

• On-site in San Diego 

• 30-40 hours per week 

• Laptop provided by company 

• Follow company Covid-19 safety protocol if on-site 

• No employment sponsorship 

• No benefits 

• No Relocation/Housing 

• Pay Rate: $25/hr. (undergraduate); $29/hr. (Masters), $35/hr. (PhD) 

Additional Information

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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