Own end-to-end customer implementations for a bioprocess SaaS platform, including requirements, integrations, UAT, and adoption. Drive post-live success, usage health, and expansion for scientific customers.

Technical pre-sales partner to Account Executives who translates bioprocess workflows into tailored demos, workshops, and POCs for prospects in scientific SaaS.

Owns roadmap for developer platform products including REST APIs, SDKs, and MCPs. Drives developer experience, identifies gaps in agentic R&D workflows, and establishes feedback loops to prioritize builds for life sciences teams. Requires 3-5 years PM experience with technical fluency and developer empathy.

Founding engineer building and scaling a computational biology platform for AI-powered drug discovery, owning infrastructure, ML services, APIs, and web interfaces while collaborating with founders and users. Requires AWS DevOps, MLOps, and React expertise; onsite in SF.

Founding GTM hire partners with founders to build outbound sales engine targeting pharma, biotech, and research institutions. Focuses on creative pipeline generation, engaging technical buyers like scientists and ML researchers, and shaping early GTM strategy for AI-powered drug discovery platform.

Deploys AI/ML workflows for scientists and pharma customers, owning pilots from scoping to production. Configures models, optimizes pipelines, and feeds insights to product team. Requires strong Python engineering and AI systems experience.

Lead RWD strategy and data engineering at a tech-driven pharma company. Own sourcing, harmonization (OMOP), infrastructure, and vendor management to deliver analysis-ready datasets supporting drug development and portfolio decisions.

Lead product strategy and AI-driven solutions for major drug development domains like clinical trials and regulatory submissions. Own outcomes for cross-functional teams of engineers, data scientists, and PMs while embedding with clinical and regulatory leaders.

Lead development of deep learning models for medical image analysis (MRI, X-ray) to accelerate clinical trials, create AI biomarkers, and integrate imaging AI into drug development workflows. Requires PhD and 5+ years building production-grade medical imaging AI.

Lead AI and data science initiatives to advance drug development, focusing on patient stratification, biomarker identification, clinical trial optimization, and AI agent development for biomedical workflows. Requires PhD and 5+ years experience in life sciences with strong Python and bioinformatics skills.

Lead business development efforts to identify, evaluate, and source early-stage biotech and pharmaceutical assets for tech-enabled drug development. Requires strong scientific background (PhD/MD preferred) plus 3-7 years experience in BD, VC, or consulting.

Lead AI-driven data science initiatives for drug development, building models for patient stratification, biomarker identification, and clinical trial optimization. Requires a PhD and 3+ years post-academic experience in life sciences with strong Python and bioinformatics skills.

Senior Data Engineer building scalable pipelines to transform EHR and claims data into analytics-ready assets while conducting hands-on real-world evidence analyses. Requires 5+ years experience with 2+ years in healthcare data, strong SQL/Python, Snowflake/dbt/Dagster, and familiarity with OMOP and causal inference frameworks.

Lead data science initiatives at a tech-driven pharma company to accelerate drug development using AI models for patient stratification, biomarker discovery, and clinical trial optimization. Requires a PhD and 7+ years experience in life sciences with strong Python and bioinformatics skills.

Lead development of deep learning models for medical imaging analysis to accelerate drug development and clinical trials. Requires PhD with 5+ years building production AI models for MRI/X-ray analysis.

Leads revenue expansion in biotech/pharma by building sales strategies, closing complex deals, and managing strategic accounts with C-suite executives. Requires 5+ years selling SaaS in life sciences with strong value-selling expertise.

Curates, builds, and scales AI-powered drug discovery tools including structure prediction, protein design, and docking models. Collaborates with customers to troubleshoot and optimize biological AI workflows using Python, PyTorch, and cloud infrastructure.

Drives new business for SMB biotech/life sciences companies, owning full sales cycle from prospecting to close. Requires 1-3 years sales experience and life science background (bachelor's or equivalent).

Infrastructure Engineer scales ML inference systems serving 150+ biological models using Kubernetes and AWS. Requires containerization expertise, cloud knowledge, and onsite presence in San Francisco.

Leads strategic account growth and enterprise sales across Northern Europe, building executive relationships, developing account and outbound strategies, and closing complex SaaS deals. Requires at least five years of sales experience, ideally in life sciences, plus strong value-based selling and negotiation skills.

Designs and builds full-stack systems for enterprise lifecycle management in biotech, focusing on regulatory compliance, audits, and scalable exports. Requires 8+ years experience leading complex backend-heavy projects with frontend capabilities.

Senior Software Engineer builds backend/frontend systems with Python/FastAPI/Next.js for biopharma data platforms, integrates AI agents for experiment analysis, and leads projects in a fully remote, high-ownership environment.

Senior Software Engineer building and leading delivery of data-intensive biopharma software, with a strong emphasis on backend systems, system design, AI tooling, and technical ownership. The role requires effective remote communication, project leadership, and mentorship.