• Review, critique, and author high-quality, ground-truth text datasets (including complex analyses of doctrinal, operational, and strategic documents) to drive model optimization. • Interface directly with Machine Learning (ML) engineers to align on frameworks for model comparison, prompt-response pairing, and reinforcement learning from human feedback (RLHF). • Partner with the operations team to refine data pipelines, scaling up the efficiency and accuracy of generative AI tasks. • Train, guide, and mentor junior AI writing specialists to maintain rigorous military standards across all project outputs.

• Write original, well-researched feature and tutorial articles for the Software & Applications category • Pitch story ideas that are practical, relevant, and reader-focused • Explain software concepts clearly for non-technical audiences • Meet deadlines and maintain consistent output

• Optimize the customer journey and experience across automated communication channels, focusing on WhatsApp and Chatbot. • Conduct in-depth understanding of the business flow. • Ensure traceability and measurement of the entire experience through data tagging (instrumentation) along the customer journey. • Act as guardian of the experience, turning data into insights to design more efficient, intuitive flows that increase satisfaction and conversion.

Role Description We're seeking an experienced Clinical Pharmacology Domain Expert for a flexible, part-time consulting engagement. You'll serve as the scientific voice on human PK/PD, defining what correct looks like for AI-generated clinical pharmacology outputs and ensuring our platform produces results that would hold up in a regulatory submission. This is an ad-hoc opportunity designed to fit around existing commitments. This engagement will likely be 5-20 hours per week. Responsibilities - Knowledge sharing about "day-in-the-life" as an expert working with data in these domains to assemble regulatory submissions. - Describing common tasks or problems where AI could be of value in your workflows. - Identify + describe internal pharma systems that are commonly used for standard workflows. - Generate or review reference ground-truth artifacts to evaluate against - reports, data files, modules, etc. - Identify + add realistic sources of variance or data corruption in study data. - Identify and correct discrepancies in data quality. Qualifications - 10+ years of experience in clinical pharmacology, preferably at a sponsor. - PhD, PharmD, or MD preferred. - Hands-on experience with exposure-response and population PK analyses included in regulatory submissions. - Experience authoring or reviewing clinical pharmacology sections of INDs, IBs, CSRs, and NDA/BLA modules. - Direct experience with FDA or EMA interactions on clinical pharmacology questions. - Enthusiastic about working with AI tools to evaluate and improve outputs. Benefits - Remote work. - Flexible hours / flexible time zone. - Competitive salary and equity. - Full healthcare coverage — we pay 100% of premiums for you and your dependents. - Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot. - Mental health support through Rula, our in-network therapist and psychiatrist network with fast availability. - 12 weeks of paid parental leave for maternity, paternity, and adoption. - Pet care support with a yearly employer-funded stipend for your animal companions. - Commuter benefits so you can pay for transit and parking with pre-tax dollars. - 401(k) company matching. - $300 health and wellness benefit quarterly. - Lunch is on us every day you're in the office, and dinner is on us when you're working late. - Regular team offsites and company events. - A fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it.