Top Biotech Software Engineer Jobs

Own support and operations for Arc’s laboratory information management system. Responsibilities include managing requests, making schema changes, maintaining data validation checks, supporting experiment templates and command-line tools, training scientists, documenting workflows, and automating recurring tasks. The role also includes improving permissions, building tools to make laboratory metadata queryable, debugging systems, and eventually owning part of the lab platform from design through support.

Own developer-experience workflows from discovery through adoption, acting as product manager, designer, and engineer. Build internal tools including TypeScript and React interfaces, backend services, APIs, CLIs, CI/CD integrations, and AI-enabled workflows. Conduct user research, define product scope, design experiences, ship software, measure adoption, and drive rollout. Candidates need 5+ years of software engineering experience and experience building developer-facing products.

Build experimental applications and interactive tools for configuring experiments, monitoring execution, visualizing results, and capturing metadata. Integrate instrument APIs with SDKs, data services, backend systems, and automation workflows. Implement testing, logging, failure recovery, CI, packaging, and deployment improvements. Diagnose issues across application, performance, concurrency, native-code, and hardware layers while collaborating directly with scientists and engineers to deliver reliable software.

General interest opportunity for software and hardware engineers across mobile, backend, algorithm, and electronic or medical-device hardware teams. Responsibilities may include mobile and Bluetooth development, API and cloud engineering, production signal-processing algorithms, Python-based data analysis, and high-volume device manufacturing, DFM, and BOM development. The hybrid role is based in Emeryville, California.

Develops, maintains, tests, and supports software for on-market ophthalmic medical devices and imaging platforms. The role troubleshoots anomalies, evaluates hardware and software changes, manages configuration and change control, supports cybersecurity and regulatory compliance, and coordinates software releases. It collaborates with development, verification and validation, field service, manufacturing, clinical, and customer-facing teams. The position is onsite in Lake Forest, California, with 10–20% travel.

Develops, configures, tests, deploys, and supports Tulip MES applications for oligonucleotide manufacturing. Translates manufacturing and quality requirements into operator workflows, electronic records, data collection, equipment interfaces, dashboards, and system integrations. Partners with Manufacturing, Quality, Engineering, Automation, IT, vendors, and external specialists. Owns application lifecycle management, troubleshooting, validation, documentation, change control, user training, and continuous improvement while supporting regulated manufacturing operations.

Develop software applications for signal acquisition and processing in movement science and human health. Responsibilities include designing user interface strategies, creating real-time physiological data visualizations and dashboards, and contributing to Windows and cross-platform applications. The role requires frontend development, object-oriented design, MVVM architecture, and familiarity with frameworks such as WPF, React, or Angular.

Build and productionize data and AI applications on Palantir Foundry for biomedical domain teams. Responsibilities include designing data pipelines, transformations, ontology models, workflow applications, integrations, access controls, data quality checks, and production monitoring. The role leads discovery and iterative delivery, partners with product, data, governance, and platform teams, supports user adoption, and creates reusable delivery patterns. Candidates need strong programming, data and application engineering, stakeholder management, and biomedical domain experience.

Build software, interfaces, APIs, and data services that help scientists explore protein designs, plan experiments, and visualize screening results. Collaborate with scientists, engineers, and machine learning researchers, write tested and documented code, incorporate user feedback, and present the completed project. The internship focuses on delivering a practical tool supporting Profluent’s AI-driven protein design workflow.

Develop and validate signal-processing algorithms for wearable health devices using PPG, ECG, and accelerometer data. Analyze clinical and field datasets, address motion artifacts, build data-processing pipelines, adapt algorithms for real-time device use, and support clinical validation and regulatory documentation. Collaborate with hardware, firmware, clinical, and engineering teams while producing tested, reproducible code and communicating technical findings.