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Redwood City office of a BCG Attorney Search Top Ranked Law Firm seeks a patent litigation associate attorney with 3-4 years of patent litigation experience. Similar Jobs: VP Data Science.
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Nice to have - Domain knowledge in life sciencesNGS (next generation sequencing ) data formats (e.g. BAM, FASTQ, ) and Data pipelines (WGS, Broad GATK, Backend systems including Realtime search (Elasticsearch), Database (PostgreSQL), Datawarehouse (Snowflake.
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Autonomously manage the development and execution of media and digital marketing programs for priority or complex brands, including but not limited to linear TV, CTV, audio, OOH, digital and social advertising, search marketing (SEO/SEM), email communications, and website design/development that directly align with brand business objectives and reach target consumers.
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Proactively search for, identify, and evaluate potential opportunities (research collaboration, in-licensing preclinical and clinical assets, platform technologies and research tools) for the advancement of IDEAYA’s Oncology pipeline, and driving sustainable growth for the Company.
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We are looking for a Lead Data Scientist to connect and organize our data across the company to drive visibility into performance and strategy across our sales, marketing, product, operations, finance, and engineering efforts.
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Experience using modern compute, data infrastructure and visualization tools, and services such as Kafka, Airflow, AWS S3, AWS EC2, DBT, Kubernetes, Terraform, Data Lakes, Data Warehouses, and Looker.
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Set the data science vision for RingCentral’s Data & Analytics organization and build the roadmap to drive business results. Evangelize the data science and research function within RingCentral and foster a strong data science community.
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2+ years of experience in Data Science or a related field, with a focus on building NLP/LLMs or Deep Learning models. As a Data Scientist at Netomi, you will drive NLP and machine learning projects and be responsible for developing methodology and solutions to support technical, analytical, and operational requirements.
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Brand advertising (for example, TV or video, sponsorship), media sales, customer acquisition and growth, search, mobile and online sales, Managing client accounts, Shopper marketing sales, eCommerce sales, retail advertising sales, search, Strategic Advisor working with C-Level Clients.
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The Clinical Data Manager / Senior Clinical Data Manager (CDM) is responsible for data management activities across one or more studies from study start-up through study closure to ensure completion per established project team goals and objectives, including oversight of the CRO DM Vendor, if the project is outsourced.
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Position Description Calico is seeking an expert data scientist or computational biologist to join our multidisciplinary team of mass spectrometrists, biologists and computer scientists to become an integral part of our solution for proteomics.
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In this role, you’ll be helping us to drive our PLG motion forward, surfacing insights from a wealk of our customer data, partnering directly with our growth teams on Marketing & R&D to build out our experimentation capabilities, and owning our data stack (Looker, DBT, Fivetran, Snowflake, Census.
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We are seeking an experienced and motivated Bioinformatics Scientist to join our Data Analysis Team (DAT) Proficiency in machine learning, development of novel bioinformatics methodologies, and algorithms development, including benchmarking of computational methods (best practices to prevent over-fitting, construction of truth sets, generation of benchmark data by simulation.
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Develop and implement a comprehensive digital marketing strategy including account-based marketing, email marketing, lead nurturing, retargeting, display advertising, paid search, SEO, and SEM to create and advance pipeline.
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Experience with data from phage or yeast display or NGS generally. Advancing BigHat therapeutic programs through ownership of the entire data science life cycle from experimental design through data analysis and modeling, including implementation of novel antibody design strategies, development of robust data pipelines for assays of antibody function and developability, and data-driven improvements to our statistical and ML models.
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