Senior Intellectual Property Counsel, Bioinformatics Counsel Jobs in California - 156876 | Submit Resume | General Counsel Consulting
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Senior Intellectual Property Counsel, Bioinformatics
Refer job# WDXV156876
Senior Intellectual Property Counsel, Bioinformatics Duties: Continue to build and manage a global patent portfolio related to bioinformatics innovations, including preparing and prosecuting patent applications, identifying strategic areas for patenting, harvesting patentable inventions, and evaluating the patentability of invention submissions; Collaborate with other members of the IP Team to develop and advise on global patent and IP strategy; Oversee and coordinate with outside counsel as necessary with respect to IP protection; Perform infringement and validity analyses and evaluate risk mitigation strategies; Develop relationships with and educate bioinformatic scientists and other employees on patent-related matters; Partner with relevant stakeholders across the company to provide strategic IP counseling with respect to bioinformatics-focused research and product development; Support litigation, Oppositions, PGRs, and IPRs; Assist with licensing, M&A, and other commercial transactions as needed; Demonstrated ability to effectively manage and oversee IP team personnel to identify and execute strategic IP efforts; Engage with and advise senior management on IP-related issues and initiatives.

Qualifications: JD Degree from a nationally accredited law school; Registration with the USPTO and a member of a state bar (California preferred); Advanced degree in Bioinformatics, Computational Biology; Cancer Genomics, Genetics, Statistics or similar field; 10+ years of relevant patent prosecution experience at a law firm or in-house position; Experience with drafting, prosecuting, and reviewing patent applications focused on methods for analyzing genomic data from diagnostic next-generation sequencing (NGS) assays; Deep understanding of algorithms and tools used to analyze NGS data, preferably for cancer genomics (e.g., sequence alignment, variant calling); Strong knowledge of statistics and probability theory, especially as applied to machine learning applications; Familiarity with library preparation methods used to generate NGS data, including targeted sequencing, whole-genome sequencing, methylation sequencing, or RNA-seq; Excellent communicator, project manager, and team player; Strong interpersonal skills and be willing to work closely with scientists, managers, and employee teams; Adaptable, flexible, and creative in a rapidly changing environment.

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