--- title: 'Lead AI Engineer at Alpha Life Sciences' canonical: 'https://feeny.ai/job/lead-ai-engineer-alpha-life-sciences-jersey-city-vxw8n2w27j11' type: 'job' last_seen: '2026-09-10' --- # Lead AI Engineer at Alpha Life Sciences - **Company:** Alpha Life Sciences - **Location:** Jersey City, NJ - **Compensation:** $150k–$230k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-06-25 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/alphalifesci/68660d6b-826b-4d93-a94e-d9ec4d1dcae0/application **Skills:** Python, Java, C++, Generative AI, LLMs, RAG, AI agents, Model evaluation, AI systems deployment, Clinical workflows, Clinical trials, Life sciences applications, Data analysis, Cloud development, Distributed systems > Lead a small team of AI engineers to design, develop, and prototype AI/LLM solutions for clinical workflows. Provide technical guidance, mentor junior staff, and collaborate with cross-functional teams to implement innovative AI-driven clinical research platforms. ## Job description ## About the job ## About Us In 2020, a group of senior technology and product experts from Google and Verily China decided to delve into the intelligent digitalization of life science clinical research. Their findings resulted in AlphaLife Sciences, a pioneer in the fusion of life sciences and AI computer science as an AI-enabled integrated clinical research platform. Our flagship product, AuroraPrime, integrates Generative AI and Large Language Models (LLMs) into a powerful AI-driven SaaS platform. Trusted by global top MNCs, our innovations accelerate drug development and market entry. We are committed to globalizing AuroraPrime to enhance clinical trials and real-world research by leveraging cutting-edge AI, cloud computing, and big data. We help our clients achieve clinical operational efficiency, automate processes, and make smarter decisions to get their products to market faster. We are proud partners with Microsoft's Pegasus Program, Google for Startups, and Johnson & Johnson Innovation JLABS, delivering cutting-edge solutions like Generative AI-Copiloted Medical Writing, Intelligent EDC and Data Management, and Agile Trial Management. AlphaLife Sciences is seeking an AI Engineer Leader to drive AI innovation for new projects in clinical workflows. You will lead a small team of AI engineers, provide technical guidance, and help turn cutting-edge AI/LLM technologies into practical solutions that accelerate processes, extract insights, and support clinical innovation. We’re looking for a hands-on, proactive technologist who is passionate about AI, curious about new technologies, and capable of mentoring junior engineers in a fast-paced startup environment. Responsibilities: - Lead a small team of AI engineers and guide their development on project tasks. - Design, develop, and prototype AI/LLM solutions for real-world clinical workflows. - Collaborate closely with Product Managers and cross-functional teams to implement innovative AI solutions. - Mentor junior engineers and support skill development and productivity. - Stay up to date with cutting-edge AI/ML research and apply relevant advances to projects. Qualifications : - Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. - 6+ years of software engineering experience, including 3+ years leading AI/ML initiatives, products, or teams. - Strong programming skills in Python and at least one additional language such as Java, C++. - Hands-on experience with Generative AI, LLMs, RAG, AI agents, model evaluation, and related AI technologies. - Experience building, deploying, and maintaining AI systems in production environments. - Proven ability to lead technical initiatives, drive architectural decisions, and mentor engineers. - Strong communication and collaboration skills, with the ability to work cross-functionally with Product, Engineering, and business stakeholders. - Comfortable working in a fast-paced startup environment with ambiguity and evolving priorities. Nice-to-have: - Experience in clinical workflows, clinical trials, or life sciences applications. - Data analysis, cloud development, or distributed systems experience. - Experience deploying AI solutions in production. AlphaLife Sciences is an equal opportunity employer and does not discriminate based on protected veteran status, disability, or other legally protected status. If you require a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please notify our recruiters at any stage of the process. Please note: Applicants must be authorized to work in the United States without the need for current or future visa sponsorship. At this time, AlphaLife Sciences is unable to sponsor visas for applicants. ## About Alpha Life Sciences ## Company Overview - **One-liner**: AlphaLife Sciences provides an AI-powered document authoring platform for regulated pharmaceutical R&D, accelerating regulatory submissions from IND through NDA, BLA, and MAA. - **Entity Type**: Private / Early Stage (backed by Google for Startups, NVIDIA Inception, and J&J JLABS) - **Headquarters**: Iselin, New Jersey, USA (with additional offices in Singapore and Shanghai) - **Founded**: 2020 - **Founders**: Sharon Chen (CEO) and Gavin Zhang (Co-Founder & Chief Business Officer) ## Core Business - **Primary industry**: Life Sciences / Pharma R&D Technology – AI-driven regulatory and medical writing software. - **Target customers**: B2B – heavily regulated pharmaceutical, biotech, and contract research organizations; especially regulatory affairs, medical writing, and clinical R&D teams. - **Mission statement**: “To automate life-science content authoring and insight generation with AI, enabling biopharma teams to achieve greater efficiency, quality, and compliance.” ## Products & Services - **AuroraPrime RMA (Regulatory Medical Authoring)**: SaaS platform for drafting, reviewing, and managing regulatory documents across the full drug development lifecycle. Covers pre-clinical, clinical, CMC, safety, labeling, and post-market documents. Integrates with Microsoft Word 365 and Veeva Vault RIM. - **AuroraPrime DocMind**: AI-powered content insights and knowledge management tool (mentioned on the website as a product line). - **AuroraPrime Expert**: Managed authoring services that combine the platform with senior regulatory/medical writing expertise for time-critical submissions. - **Enterprise AI Platform**: Composable architecture allowing pharma IT to build, scale, and orchestrate custom AI content and data solutions. ## Market Standing - **Valuation / Funding**: Not publicly disclosed. The company is part of Google for Startups, NVIDIA Inception, and J&J JLABS innovation programs. (No specific funding round amounts found.) - **Key Metric**: Trusted and adopted by more than half of the top 20 global pharmaceutical companies. Reported ROI of 92–317%. - **Notable Investors / Partners**: - **Strategic Partners**: Microsoft (Azure), NVIDIA, Veeva, Johnson & Johnson (JLABS). - **Investment**: Backed by Google for Startups; no specific VC funding amounts confirmed. - **Growth Signals**: - 40% year-over-year headcount growth (LinkedIn, 26 employees as of mid-2026). - LinkedIn followers grew 456% in the past year (18,283 followers). - Job postings increased 66.7% year-over-year (5 active roles as of mid-2026). - Global team spans USA, China, Singapore, UK, and Spain. ## Competitive Advantages - **Purpose-built for pharma**: Unlike generic AI tools, the platform is designed specifically for 21 CFR Part 11, GxP, HIPAA, GDPR, SOC 2 Type II, ISO 9001, and ISO 27001 compliance. - **RAG (Retrieval-Augmented Generation) architecture**: Drafts are grounded in the customer’s own verified regulatory documents, reducing hallucination risk. - **Human-in-the-loop AI**: Medical writers remain in control throughout authoring and review, ensuring scientific accuracy and audit readiness. - **Integration ecosystem**: Native integrations with Veeva Vault and Microsoft 365, plus a composable platform for pharma IT customization. - **Team pedigree**: Over 80% of engineers come from Google, Microsoft, and Medidata; key leaders include former Google R&D directors and Verily executives. ## Strategic Focus - Deepening the Veeva and Microsoft Azure partnerships to enable fully AI-orchestrated regulatory authoring and QC. - Expanding coverage across the entire drug development lifecycle (IND → NDA/BLA/MAA). - Scaling the platform globally, with recent hires in EU sales and product roles. - Continuous investment in compliance certifications and fraud‑safe AI pipelines. ## Why Work Here - **Culture**: Hybrid workplace (typically 3 days on-site). Mission-driven environment focused on improving global drug development speed and accessibility. - **Engineering focus**: Heavy emphasis on AI, cloud infrastructure (Azure), and compliance tooling. Opportunity to work with ex-Google and ex-Medidata colleagues. - **Growth stage**: Rapidly growing (40% YoY headcount, job postings up 67% YoY) with a lean but expanding team (26 employees globally). Early‑stage enough to have meaningful impact. - **Perks**: Not detailed, but as a venture‑backed startup typical benefits likely include equity, flexible PTO, and remote/hybrid flexibility. - **Current openings** (as of mid-2026): AI Software Engineer Lead, AI Product Manager, Account Executive (EU), Sales Operations & Compliance Manager. ## Sources 1. [AlphaLife Sciences Official Site – Homepage](https://alphalifesci.com/) 2. [AlphaLife Sciences – About & Leadership](https://alphalifesci.com/about-company) 3. [AlphaLife Sciences – Veeva Partnership Announcement](https://alphalifesci.com/news/alphalife-sciences-and-veeva-finalize-strategic-product-partnership) 4. [AlphaLife Sciences – Veeva RIM Integration](https://alphalifesci.com/news/alphalife-sciences-announces-veeva-rim-integration-to-power-ai-orchestrated-authoring-and-qc) 5. [AlphaLife Sciences LinkedIn Profile](https://www.linkedin.com/company/alphalife-sciences) 6. 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