USASoftware Engineer, Applications (Scientific Development Solutions) (High Seniority)
1 мес. назад
225.4k–304.9k USD / yearUSASeniorRemote
ai integrationsoftware developmentscientific data management
Software Engineer focused on scientific development solutions to support biotech R&D workflows with AI integration.
Обязанности
- Serve as the senior technical authority for the Study Lifecycle and Process Execution teams, driving the design and development of systems that advance 's product and business goals across studies, workflows, procedures, and bioprocess/bioanalytical workflows.
- Independently architect and implement solutions to complex, open-ended problems — from system architecture to backend models and APIs to rich frontend UI — for scientific workflows used in regulated (GLP/GMP) environments.
- Lead large, multi-quarter initiatives: break down ambiguous scientific and regulatory requirements into concrete technical plans and iterative delivery milestones.
- Use technical decision-making as a tool of engineering strategy — knowing when to leverage existing platform capabilities, when to take on technical debt deliberately, and when to preserve optionality for the long term.
- Act as a force multiplier across the Applications division: help set engineering direction, raise standards for quality and architecture, and influence technical choices beyond your immediate teams.
- Provide technical leadership through code review, architectural guidance, and mentorship of engineers across all experience levels.
- Partner closely with product management, design, and cross-functional stakeholders to translate customer and scientific needs into technical solutions.
- Explore and evaluate opportunities to leverage AI and LLMs to make lab operations, SOP execution, and time-series analysis faster and more reliable for scientists.
- Own end-to-end delivery of critical features — from planning and development through deployment, maintenance, and monitoring.
- Help build and scale the team by improving our tooling, engineering processes, interviewing, hiring, and onboarding.
Требования
- 8+ years of professional software engineering experience, with a demonstrated progression of increasing scope and impact.
- Experience as a technical lead on significant projects involving multiple engineers across multiple quarters.
- Strong experience building backend systems and APIs for cloud-based web applications, plus the ability to build full-stack when needed. Our stack is a comprehensive React frontend and a Python backend on a predominantly relational data model in Postgres; direct experience is appreciated but not required if you can pick it up quickly.
- Proven ability to design scalable, robust architectures that align with business requirements and long-term maintainability.
- Track record of independently scoping and driving initiative-level work whose impact spans multiple teams and shapes an entire product area or division.
- Excellent written and verbal communication skills — able to produce clear technical designs and use influence rooted in technical expertise to align other engineers on an implementation strategy.
- Demonstrated ability to mentor and develop other engineers, raising the team's bar in areas such as testing, performance, and maintainability.
- Interest in learning about life sciences. Prior biotech knowledge is appreciated but not required; enthusiasm to learn is essential. (Experience with regulated, GLP/GMP, or laboratory/manufacturing software is a plus.)
Другое
- We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done. is the AI platform for biotech R&D. Scientists use to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma. We’re building an AI
- The Scientific Development Solutions (SDS) group — comprised of our Study Lifecycle and Process Execution teams — builds the products biologists rely on to run complex lab operations at scale: developing, qualifying, and executing rigorous SOPs; capturing and analyzing complex time-series data; and orchestrating the biological and IT-driven workflows behind sample management, analytical chemistry, and bioprocess development. SDS owns 's Studies, Workflows, and Procedures products — the core of our " for Development" solution — and our work is frequently sought out by the enterprise customers with the most demanding GLP/GMP regulatory needs. Successful deployments measurably accelerate how quickly our customers bring therapies to market.
- As a Software Engineer at the High Seniority level, you will be the senior engineering authority partnering with the Study Lifecycle and Process Execution teams — the person who architects the hardest systems, sets the technical bar, and multiplies the output of every engineer around you. You'll design and build full-stack across studies, workflows, procedures, and bioprocess/bioanalytical use cases, translating ambiguous scientific and regulatory requirements into durable systems. You will also serve as an IC leader across the broader Applications division, helping set engineering direction that reaches well beyond any single team.
- This role reports to the Head of Engineering for Applications and works day-to-day as the senior IC anchor for the Study Lifecycle and Process Execution teams.
- We offer a flexible hybrid work arrangement that prioritizes in-office collaboration. Employees are expected to be on-site 3 days per week (Monday, Tuesday, and Thursday).
- #LI-Hybrid
- #BI-Hybrid
- #LI-GP1
- We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. We are an equal opportunity employer. That means we don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.