Fullstack Developer focused on backend services and some frontend work at InnoWave. Collaborating with teams and ensuring quality in scalable solutions in Lisbon.
About the role
- Developing scientific software that powers AI-native drug discovery at Lilly. Collaborating with scientists to translate needs into prototypes and workflows.
Responsibilities
- Design, build, and maintain data processing pipelines for complex scientific datasets
- Develop RESTful APIs and microservices providing unified programmatic access to LIMS, ELNs, instruments, data warehouses and analytical databases
- Support continuous improvement of LIMS and adjacent systems to meet evolving scientific workflows, security, and scalability standards
- Work directly with bench scientists to understand pain points and rapidly prototype custom applications, dashboards, and workflow tools
- Validate prototypes through iterative scientist feedback, ensuring solutions are fit-for-purpose before transition
- Build integrations connecting lab automation equipment, scheduling systems, and instrument data streams to Data Foundry’s infrastructure
- Develop software for robotic workflow control, instrument driver interfaces, and real-time data capture from automated platforms
- Create modular, reusable automation workflow components scientists can configure without writing code
- Build and operate cloud-native components supporting containerized workflows
- Apply DevSecOps standards including security scanning, code review, and automated testing
Requirements
- B.S. or M.S. in Computer Science, Bioinformatics, Cheminformatics, Computational Biology, Chemistry, Biology, Biomedical Engineering, or related STEM field
- Bachelor with 3+ years and Master with 1+ years of scientific software development, with understanding of experimental data types and scientific workflows
- Proficiency in Python and at least one additional language (Java, C#, Go, or TypeScript)
- SQL skills appropriate to level
- Experience (or demonstrated aptitude at junior levels) building RESTful APIs, data pipelines, and/or microservices for scientific or technical applications
- Familiarity with cloud platforms (AWS, Azure, or GCP), containerization (Docker/Kubernetes), and Git
- Strong communication skills and interest to collaborate with scientists and multi-functional teams
- Pharmaceutical or biotech research industry experience, particularly in discovery workflows for biology, chemistry, or automation
- LIMS/ELN experience (e.g., Benchling) and laboratory instrument integration
- Experience integrating lab automation systems with digital platforms, including instrument control, robotic workflow orchestration, or scheduling systems (OPC-UA, serial/USB protocols, automation scheduling platforms)
- Data warehousing experience (Postgres, Redshift, BigQuery, Snowflake) and scientific data standards/ontologies
- Hands-on experience with cheminformatics tools (RDKit, Schrödinger, MOE) or bioinformatics platforms (Biopython, Bioconductor, sequence analysis pipelines)
- Experience with scientific computing libraries (SciPy, NumPy) for numerical methods, ODE solvers, optimization, or PK/PD modeling workflows
- Workflow orchestration (Prefect, Airflow, Nextflow, WDL) and CI/CD practices
- Strong learning agility—willingness to step outside comfort zone and adopt new technologies to get the job done
- Experience with C, C++, or other compiled languages for porting performance-critical scientific workflows; ability to profile and identify computational bottlenecks
Benefits
- Comprehensive benefit program
- Eligibility for medical, dental, vision and prescription drug benefits
- Eligibility to participate in a company-sponsored 401(k)
- Pension
- Vacation benefits
- Flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
- Life insurance and death benefits
- Certain time off and leave of absence benefits
- Well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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