Computational Biologist/Data Scientist
Sinopia Biosciences is a clinical stage biotechnology company located at JLABS (Johnson & Johnson Innovation) in San Diego, CA. Sinopia is focused on developing machine learning and computational drug discovery technologies that improve the safety and efficacy of life-changing therapeutics. The company develops and applies proprietary machine learning, systems biology, and bioinformatics tools to identify the molecular mechanisms of major drug classes and to advance novel therapeutics to pre-clinical and clinical proof-of-concept studies, in CNS, oncology, and immunology. These solutions drive a powerful new paradigm wherein computational approaches are used to accelerate biological discovery and development across the life sciences. Sinopia is dedicated to advancing the frontiers of biological discovery and development in medicine, improving existing therapeutic products, and enabling business opportunities for the company and its partners.
Sinopia is seeking a highly motivated and independent individual with extensive expertise in computational biology, bioinformatics, and machine learning to join our team. This individual will play a key scientific role in expanding Sinopia’s computational platform and aiding in designing the implementation of follow-up validation studies. They will leverage new computational strategies and disparate data types to discover novel interventions for unmet medical needs.
MS or PhD in Bioinformatics, Computational Biology, Computer Science, or Systems Biology with 0 - 3 years of relevant experience in an academic or industry setting (new PhD grads are encouraged to apply)
Strong background in implementing and developing machine learning algorithms
Background in developing and implementing pipelines for analyzing high-throughput “omics” datasets (such as genomics, transcriptomics, metabolomics, or proteomics)
Experience with developing data infrastructure and software; experience programming in Python, R, and/or C/C++
Excellent verbal and written communication and presentation skills
Strong quantitative and problem solving skills
Must be detail-oriented, highly organized, and efficient
Experience with network and/or systems biology techniques
Experience with cloud computing and large-scale parallelization
Experience with drug response and pharmacology
If interested, please use the contact form on the main page for further details in applying