REMOTE OPPORTUNITY - Join a Series A Rocketship headed to Series B Funding Senior Backend Engineer We’re seeking a Back End Engineer with experience in Go and Python to help scale our infrastructure and data services. What You’ll Do Build scalable back-end services using Go and Python Design and deploy containerized microservices using Kubernetes Optimize graph database queries and models in Neo4j Building scalable AI agents Collaborate cross-functionally with Product, Engineering, and Clinical Ops Develop and maintain well-tested APIs with clear documentation Participate in Agile sprint cycles, code reviews, and product planning Contribute to CI/CD workflows in a cloud-native (GCP) environment What You Bring - Required Experience 6+ years of backend development experience working at a product-based company Strong hands-on experience with Go , Python Experience with Databases as a programmer, i.e., Neo4j, MongoDB, SQL, etc Experience with Neo4j or similar Graph Databases is desirable Proficient with API development and testing (REST or GraphQL) Master's Degree or 5-10 years of relevant working experience Bonus Points For Familiarity with React.js or frontend collaboration Experience with CI/CD & GCP A mindset of ownership, speed, and high-quality delivery in a startup setting This role requires that you have 5 + years of experience working with a "SaaS Product."
We’re looking for a detail-obsessed TMF professional to own eTMF completeness, accuracy, and inspection readiness across assigned studies. You’ll run periodic/milestone reviews in Veeva Vault , identify and resolve gaps (including co-dependencies), and partner closely with Study Teams and the TMF Lead to keep the file audit-ready at all times. If ALCOA+ and metadata checks are second nature to you and you enjoy coaching others on best practices, this role is for you. Key Responsibilities eTMF Reviews & Readiness Perform comprehensive completeness checks (periodic & milestone) in Veeva Vault, with cross-check and co-dependency verification. Maintain inspection readiness for allocated studies; proactively identify and close missing/errant documents . Update and maintain the Expected Document List (EDL) as requirements change. Quality, Compliance & Metadata Execute ALCOA+ and metadata checks to ensure accuracy, integrity, and compliance with GCP and internal SOPs. Validate document types, properties, indexing, and scanning quality against TMF readiness criteria and reference standards. Collaboration & Issue Resolution Partner with Study Teams , TMF Leads , Document Owners, and TMF Study Owners to gather requirements and resolve discrepancies. Follow up with stakeholders to close action items within agreed SLAs; escalate risks/issues to the TMF Document Specialist Lead/TMF Operations as needed. Communicate document inquiries with responsible users and provide clear guidance on corrective actions. Operations, Training & Continuous Improvement Process TMF documents per good documentation practices and study priority/criticality within timelines . Deliver training/office hours for internal teams; respond to TMF process and system queries. Contribute to process improvements and special projects; serve as an SME for TMF processes, systems, and tools where applicable. Required Qualifications 2–5+ years in TMF/eTMF operations within clinical research (CRO, sponsor, or TMF service provider). Hands-on experience with Veeva Vault eTMF (or similar eTMF), including document ingestion, indexing, QC, and reporting. Strong working knowledge of ICH-GCP , ALCOA+ , and TMF Reference Model concepts. Proven ability to run completeness reviews, manage EDL updates, and maintain inspection readiness . Excellent attention to detail, organization, and stakeholder communication; comfortable escalating appropriately. Ability to work to SLAs , juggle multiple studies, and deliver in a deadline-driven environment. Preferred/“Nice to Have” Experience across Phase I–IV and multiple therapeutic areas. Prior role as TMF SME/Trainer ; experience building SOPs/work instructions. Familiarity with TMF metrics and dashboards (e.g., completeness, timeliness, quality ). Exposure to audit/inspection support (regulatory and sponsor). Tools & Systems Veeva Vault eTMF (primary), plus standard productivity tools (e.g., Excel/Sheets for trackers & metrics). Optional exposure: eCTD concepts, QMS, ETMF reporting/BI tools. Success Metrics (KPIs) eTMF completeness % and quality error rate On-time document processing against SLA Aging of open queries/action items Number of findings during internal QC/audits and regulatory inspections Training adoption and stakeholder satisfaction
Product Manager (AI for Clinical Research) About the Role We're looking for a Product Manager who combines strong analytical and technical foundations with deep fluency in AI tools and applications . You'll work directly with the founders to shape our product strategy, prioritize features that deliver immediate customer value, and ensure we're building AI solutions that actually transform how clinical research gets done. This role requires someone who doesn't just understand AI conceptually but uses it in their daily work — from research and analysis to prototyping and documentation. You'll be the bridge between our technical team, customers, and market opportunities. Responsibilities Own the product roadmap and prioritization, balancing customer needs with technical feasibility and business impact. Conduct customer research and translate insights into clear product requirements and user stories. Work closely with engineering to define specifications, manage sprints, and ensure timely delivery. Use AI tools extensively to accelerate product discovery, create prototypes, analyze data, and improve internal workflows. Monitor the AI ecosystem to identify emerging capabilities we can leverage in our products. Define and track product metrics, running experiments to validate hypotheses. Create product documentation, training materials, and go-to-market collateral (leveraging AI tools for efficiency). Support customer demos and gather direct feedback from early adopters. Build data-driven business cases for product investments. Requirements Education : Bachelor's degree in Engineering (B.Tech/B.E.) and MBA from IIM, ISB, or equivalent top-tier institution. Experience : 0-4 years post-MBA experience (exceptional freshers welcome to apply). AI Fluency : Daily user of AI tools (ChatGPT, Claude, Cursor, v0, etc.) with ability to demonstrate practical applications. Strong analytical skills with comfort in data analysis. Excellent communication skills — ability to write clear specs and present to stakeholders. Entrepreneurial mindset with high ownership and bias for action. Genuine interest in healthcare/life sciences (prior experience is a plus but not required). Comfort with ambiguity and rapid iteration in an early-stage environment. What Success Looks Like in 6 Months You own the product roadmap and have shipped 3+ significant features that customers love Customer feedback directly shapes our priorities, and you're regularly talking to users You've established core product metrics and improved key metrics by 25%+ Engineering team describes you as their best partner in building the right things You've created scalable processes for product discovery, development, and launch Your use of AI tools has 10x'd your productivity and set the standard for the team
REMOTE OPPORTUNITY - Join a Series A Rocketship headed to Series B Funding Senior Backend Engineer We’re seeking a Back End Engineer with experience in Go and Python to help scale our infrastructure and data services. ** We require each candidate to complete coding exercises in either " GO" or " Python."** What You’ll Do Build scalable back-end services using Go and Python Design and deploy containerized microservices using Kubernetes Optimize graph database queries and models in Neo4j Building scalable AI agents Collaborate cross-functionally with Product, Engineering, and Clinical Ops Develop and maintain well-tested APIs with clear documentation Participate in Agile sprint cycles, code reviews, and product planning Contribute to CI/CD workflows in a cloud-native (GCP) environment What You Bring - Required Experience 6+ years of backend development experience working at a product-based company Strong hands-on experience with Go , Python Experience with Databases as a programmer, i.e., Neo4j, MongoDB, SQL, etc Experience with Neo4j or similar Graph Databases is desirable Proficient with API development and testing (REST or GraphQL) Master's Degree or 5-10 years of relevant working experience Bonus Points For Familiarity with React.js or frontend collaboration Experience with CI/CD & GCP A mindset of ownership, speed, and high-quality delivery in a startup setting This role requires that you have 5 + years of experience working with a "SaaS Product."