Top Biotech Jobs in New York City, NY

Designs, builds, and maintains data engineering solutions and ETL/ELT pipelines supporting oncology research and life sciences customers. Collaborates with clinical analysts, scientists, oncologists, and project managers to deliver reliable, high-quality data products. Responsibilities include translating research needs into technical solutions, mentoring engineers, participating in code reviews, improving processes, monitoring CI/CD, and troubleshooting pipeline issues.

Owns the enterprise evaluation, governance, industrialization, lifecycle, and rationalization of engineering and AI developer tools. Leads evidence-based intake decisions, maintains the tooling portfolio, guides successful pilots into supported capabilities, and oversees adoption and value realization. Partners with engineering, product, security, compliance, operations, guilds, and vendors across a matrixed organization. The role is hybrid, requires cross-time-zone collaboration, and involves 20–25% travel.

Oversee programmatic media planning, buying, campaign setup, QA, optimization, budget pacing, KPI monitoring, creative testing, and platform maintenance across consumer and healthcare professional campaigns. Collaborate with programmatic managers, supply specialists, traders, agencies, and brand teams. Maintain automation and LLM tools, manage brand safety settings, monitor industry trends, and identify partnership opportunities.

Develop budgets, forecasts, financial models, revenue projections, management and board reporting, variance analyses, and scenario planning. Support accounting close, accounts payable, cash management, audits, taxes, controls, and documentation. Redesign finance workflows, prototype and deploy AI-enabled automations, measure their impact, and identify opportunities for continuous process improvement while partnering with leaders across the company.

Lead product strategy, roadmap, and delivery for Tempus’ Data Platform Edge Appliance and Edge API. Own secure, scalable healthcare data exchange using FHIR, HL7, DICOM, and related integration technologies across on-premises and cloud environments. Partner with engineering, AI, data science, clinical, and external integration teams to improve ingestion, processing, delivery, reliability, adoption, and deployment workflows. Define requirements, KPIs, launch strategies, stakeholder communications, and change management processes.

Lead a full‑stack engineering team to build scalable frontend and backend systems, make architectural decisions, prioritize the product roadmap with stakeholders, build data pipelines for ML, support deployments and DevOps, and manage external engineers to deliver product objectives.

Lead security across data, cloud, applications, corporate systems, and AI platforms. Manage incident response, security monitoring, vulnerability management, automation, governance, regulated-data controls, vendor relationships, budget, and the security roadmap. Build and manage a security engineering team, partner with engineering and infrastructure teams, conduct control testing and tabletop exercises, support audit readiness, and report security posture and risks to leadership.

Own the infrastructure powering machine learning and AI agent platforms across company and customer cloud environments. Build GitOps-driven deployments, secure multi-tenant Kubernetes sandboxes, hardened CI/CD pipelines, restricted-egress partner environments, and reliable GPU training and inference systems. Collaborate with ML engineers and scientists while implementing observability, SLOs, cost controls, and on-call operations across GCP and AWS.

Leads IT operations across infrastructure, cloud services, end-user computing, cybersecurity operations, service delivery, and vendors. Ensures secure, reliable, scalable technology services; establishes continuity, disaster recovery, incident response, and ITIL-based service management; manages investments and operational metrics; and develops high-performing cross-functional IT teams supporting clinical, research, educational, and administrative objectives.

Leads pre-sales solution development for enterprise biotech R&D customers. Partners with account executives and internal teams to discover requirements, model scientific data, design solutions integrating Benchling with existing technology environments, and deliver persuasive demonstrations. Advises scientific and IT leaders, addresses objections, contributes customer insights to product roadmaps, develops reusable solution content, and mentors other solution consultants. Requires regular onsite customer visits near Tarrytown, NY and 25–30% travel.

Leads Inato’s marketing organization and strategy, including account-based marketing for enterprise sponsors, integrated sales campaigns, product positioning, go-to-market execution, customer marketing, and advocacy programs. Establishes marketing goals and metrics tied to business outcomes while partnering with Sales, Product, Customer Success, Strategy, and executive leadership. Coaches and develops the marketing team, builds internal product marketing capabilities, and drives measurable pipeline creation, customer expansion, and market differentiation.