Top Tech Jobs & Startup Jobs

Owns end-to-end recruiting for experienced professionals and leaders, with emphasis on Analytics, Insights, and Technology talent. Responsibilities include intake discussions, sourcing, passive candidate engagement, screening, interview coordination, assessments, offer negotiation, pipeline management, talent-market analysis, recruiting metrics, stakeholder advising, and candidate experience. Partners with executives, hiring managers, HR, subject-matter experts, and external recruiting providers to fill specialized and leadership roles.

Data Science Interns analyze healthcare and real-world data using SQL, Python, R, and other programming languages. They develop standardized code modules, support consulting projects, evaluate secondary data sources, and assist with project timelines and client engagements. The role includes training, mentorship, and exposure to life sciences commercialization, patient-level data, AI tools, and strategic analytics. This is a 9-week, in-person summer internship requiring collaboration, strong analytical and communication skills, and proficiency in Excel and PowerPoint.

Supports life sciences consulting engagements through secondary and primary research, quantitative analysis of market dynamics, sales, volume, and pricing, respondent recruitment, expert interviews, and development of findings presentations. Consultants work across multiple project teams, collaborate with internal and external stakeholders, and build therapeutic-area knowledge while strengthening analytical, communication, and leadership skills.

Own and improve product strategy and operations across product development, roadmapping, resourcing, go-to-market planning, market research, sales enablement, launches, performance metrics, and stakeholder training. The role partners with Product, AI, Data Science, Marketing, Finance, HR, executives, sellers, and clients to translate analysis into strategic recommendations and accelerate Digital and AI product commercialization.

Build and deploy generative AI solutions for biopharma and life sciences clients, including Copilots, RAG pipelines, agentic workflows, and data integrations. Own projects from discovery through production, rapidly prototype and iterate with clients, and improve reusable AI components. Mentor and guide a small team of AI engineers through pairing, code reviews, onboarding, and technical coaching. Translate ambiguous client needs into production-quality systems while contributing to product development and knowledge-sharing.

Lead design and delivery of cloud-native, AI-first full‑stack applications. Architect scalable serverless and containerized services, implement pixel‑perfect UIs, build Django/GraphQL APIs, integrate LLMs and multi‑modal AI, enforce testing/CI/CD, observability, security, and mentor engineering teams while collaborating across product, design, and data.

Embed with biopharma clients to rapidly prototype and deploy GenAI solutions (RAG, LLMs, agentic workflows). Own end-to-end delivery from whiteboard to production, iterate with stakeholders, and feed learnings back into product.