Senior Technical Writer

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DNAnexus

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Data management • Computational biology • Bioinformatics • Cloud computing • Clinical-grade security

201 - 500

Description

• Are you passionate about creating truly engaging and easy to use technical documentation? If so, we are looking for a Senior Technical Writer to join our team. • This person will focus on designing, developing and editing, publishing technical content. • This role requires someone who enjoys documenting and writing technical material in a user friendly way to make it easy for a user to understand how to use the platform with a strong understanding of each user persona, their needs, their technical expertise to design material for the user persona. • This person will also be responsible for developing content that helps internal stakeholders better understand the feature -its use, its value and how customers will use this feature. • Create online guides, reference docs, and tutorials for technical audiences (Bioinformaticians, Data Scientists, API Developers, Physician, Non Technical User, SQL engineers, application developers, etc). • Engage directly with product managers, software engineers, and UI designers to ensure all features, enhancements, and changes are fully documented. • Work with release engineers and dev ops to deliver weekly product updates and documentation. • Work with support engineers and customer success managers to help drive customer engagement and adoption, which may include: Contributing to Knowledge Base articles and Community questions. Authoring and editing technical blog posts. Developing training materials, implementation guides, migration guides, best practices, and FAQs.

Requirements

• 10+ years creating technical product documentation from scratch, as well as from specs. • Strong technical understanding of platforms like Snowflake, AWS, Oracle, Teradata, Redshift, SQL Server, etc); • Experience with one or both of the following: Exposure to using and documenting any of the following security and governance technologies: Identity and Access Management (SSO, OAuth, MFA, RBAC, SCIM, etc) Networking and Private Connectivity (AWS PrivateLink, Azure Private Link, Google Cloud Private Service Connect) Governance (data masking/tokenization for column-level security, row-level security, data classification and anonymization, etc) Privacy-enhancing technologies like differential privacy Data clean rooms Expose to using and documenting any of the following data engineering and data storage technologies: ETL/ELT and BI. Data lakes, Apache Iceberg, cloud storage. Data pipelines (Kafka, streaming). Open-source platforms and authoring/publishing tools for a "Docs-as-Code" approach (Git, RST/Sphinx, Markdown, DITA XML, etc). • In-depth knowledge of the content development lifecycle, including: Identifying and understanding the information needs of the audience. Gathering information, interviewing SMEs, and conducting research. Authoring, publishing, and managing online/web content.