--- title: 'Software Development Engineer at BranchLab' canonical: 'https://feeny.ai/job/software-development-engineer-branchlab-boulder-0q9gc1h352ad' type: 'job' last_seen: '2026-09-14' --- # Software Development Engineer at BranchLab - **Company:** BranchLab - **Location:** Boulder, CO - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2025-09-25 - **Last confirmed live:** 2026-09-14 - **Apply:** https://jobs.ashbyhq.com/branchlab/4e683bd9-3817-4c33-891c-829cd4df5213 ## Job description Employee Location: Boulder, CO, relocation stipend available Reporting To: Chief Technology Officer Job Type: Full-time, Hybrid in office Boulder, CO Work Authorization: Applicants must have legal authorization to work in the U.S. without the need for current or future sponsorship ## ABOUT BRANCHLAB BranchLab is transforming healthcare commercialization with Pathwai™, the industry’s first Semantic Activation Platform. Our AI-native technology helps leading healthcare organizations and their agencies make smarter commercialization decisions and connect patients, providers, and caregivers to life-improving therapies and resources. Built for the evolving privacy landscape, BranchLab improves commercialization performance without relying on individual-level health information. By modernizing the industry’s technical infrastructure, we help organizations operate more efficiently and responsibly while improving how healthcare audiences are understood, reached, and engaged. BranchLab is helping build a more intelligent, efficient, and responsible model for healthcare commercialization. ## THE OPPORTUNITY We’re looking for a backend focused Sr. Software Engineer to join our Boulder-based team and help build the infrastructure powering our privacy first, data-driven platform. This role blends distributed systems engineering and cloud-native development in a high-impact environment. You’ll design scalable systems to process, transform, and query large volumes of anonymized healthcare data. You’ll also design systems to drive insights and power downstream applications. ## KEY RESPONSIBILITIES Design, build, and maintain backend systems and APIs using Python. - Architect distributed systems using AWS services like EKS and EMR. - Build and execute complex queries on large datasets using Spark. - Construct and optimize workflow pipelines using Apache Airflow. - Deploy ML models in engineering pipelines. - Manage containerized services with Docker and Kubernetes, and manage infrastructure-as-code. - Ensure system reliability, scalability, and observability in a production environment. ## QUALIFICATIONS - Strong backend development experience in Python. - Familiarity with cloud-native architectures and services (ideally AWS). - Understanding of distributed systems and event-driven architectures. - Experience with containerization (Docker) and CI/CD pipelines. - Proficiency in writing SQL queries and working with large-scale datasets (Spark, Athena, Redshift, PostgreSQL, etc.). - A pragmatic problem-solving mindset with an eye for performance, security, and maintainability. ## NICE-TO-HAVES - Team-lead or management experience. - Familiarity with real-time data processing or streaming architectures. - Experience with building data lakes, Snowflake, DataBricks. - Comfort with infrastructure-as-code tools (CloudFormation, CDK). - Background in data modeling, query optimization, and performance tuning. - Exposure to Healthcare, AdTech, or privacy-sensitive data systems. WHY JOIN BRANCHLAB? - Competitive salary (145-195k) + significant equity - Tackle complex engineering challenges in privacy-first healthcare advertising. - Work alongside top-tier engineers and data scientists. ## About BranchLab ## Company Overview - **One-liner**: BranchLab provides a unified, privacy-first AI platform for pharmaceutical commercialization, enabling teams to predict health outcomes and optimize audience targeting for therapies. - **Entity Type**: Private (Series A) - **Headquarters**: New York, New York, USA & Boulder, Colorado, USA - **Founded**: 2024 - **Founders**: Josh Walsh (CEO), Dan Parkes (CTO), Michael Parkes (President & CRO) ## Core Business - **Primary industry/industries**: Healthcare AI, Pharmaceutical Commercialization, Healthcare Advertising Technology - **Target customers**: B2B — primarily pharmaceutical manufacturers (commercialization teams), advertising agencies, and publishers/platforms in the healthcare space - **Mission or purpose statement**: “To enable better healthcare decisions by applying AI in a way that is privacy-safe, rigorous, and designed for real-world use.” ## Products & Services - **Pathwai™ Platform**: A unified AI platform for pharma commercialization that predicts health outcomes without using Protected Health Information (PHI). It unifies research, marketing, and measurement in one system. - **Agentic Audience Creation & Optimization**: AI-driven tool to design and refine audiences using predictive modeling, deployable across all media types and channels. - **Omnichannel Activation**: Allows teams to explore and discover relevant audiences without exposing PHI, and activate proprietary audiences for greater qualified reach. - **Outcomes Optimization & Learning**: Measures real-world impact and continuously improves campaign performance using transformer-based architecture that trains on health data within customer-controlled environments. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total funding of $35 million (latest: $26M Series A raised in May 2026) - **Notable Investors/Partners**: McKesson Ventures (lead), FCA Venture Partners, Sanofi Ventures, AIX Ventures, plus 10 other investors including CIMM Startup Program - **Growth Signals**: - Founded in 2024 and raised Series A within ~2 years - Reports delivering an average increase of nearly **70% in marketing efficacy** across diverse therapeutic areas - Claims **90% higher performance** than industry average audience quality vs. claims-based targeting - Reports **20× reduction** in cost per target audience reached - Claims **3× lower CPM** compared to competitive predictive audience targeting - Reports **30× faster** time to execute healthcare campaigns ## Competitive Advantages - **Privacy-first AI Architecture**: Uses a novel transformer-based model that trains on health data within customer-controlled environments while deploying only non-sensitive demographic and media-side signals — a key differentiator in the highly regulated pharma space. - **Unified Platform**: Replaces fragmented, offline workflows (typically involving multiple vendors for patient identification, segmentation, activation, and measurement) with a single AI-driven platform. - **No PHI Required**: Predicts health outcomes using only demographic data, enabling compliance with strict privacy regulations (HIPAA, etc.) while still delivering performance. - **Speed**: Collapses workflows that used to take months into minutes, giving pharma teams near real-time decision-making capability. ## Strategic Focus - Expand enterprise deployments with leading pharmaceutical companies - Deepen integrations across the healthcare and media ecosystem (publishers, platforms, agencies) - Continue building out the unified AI platform for pharma commercialization as the “infrastructure layer for how therapies are brought to market in the AI era” - Scale the team across engineering, data science, product, and client success roles ## Why Work Here - **High-growth startup**: Founded in 2024 and already at Series A with $35M total funding, backed by top-tier healthcare and AI investors including McKesson Ventures and Sanofi Ventures. - **Meaningful mission**: Work on AI that directly impacts how patients learn about and access life-improving therapies — the company explicitly states their work is grounded in “the belief that more informed, compliant, and predictive decision-making can meaningfully improve how healthcare systems serve patients.” - **Cutting-edge AI work**: Building novel transformer-based architectures for regulated environments — a challenging technical problem at the intersection of AI, healthcare, and privacy. - **Flexible locations**: Offices in both New York, NY and Boulder, CO — roles are listed as hybrid/on-site in those locations (specific policy per role). - **Engineering & data science focus**: Current open roles include Software Development Engineer, Data Scientist, Senior Data Scientist, Manager of Data Science, and Product Designer — indicating a strong technical core. - **Early-stage culture**: Opportunity to shape product, infrastructure, and culture at a formative stage; the company has a small team (LinkedIn shows ~2-10 employees range) offering high ownership and impact. - **Leadership credibility**: CEO Josh Walsh and CTO Dan Parkes bring deep domain expertise; the team includes VP of Data Science & AI Kat Drake. ## Sources 1. [branchlab.com](https://branchlab.com/) 2. [branchlab.com/about](https://branchlab.com/about) 3. [branchlab.com/careers](https://branchlab.com/careers) 4. [cbinsights.com](https://www.cbinsights.com/company/branchlab) 5. 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