Senior Software Engineer – Drug Discovery Workflow
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Posted on:
22 hours ago
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Vacancies:
1 Vacancy
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Job Summary
About Apheris
At Apheris we are building the future of how AI is applied in pharmaceutical R&D. We enable leading pharmaceutical teams to discover and develop drugs faster. We host the industrys largest federated data networks for drug discovery AI spanning co-folding ADMET and antibody developability.
Across these networks models are trained on proprietary industry datasets to achieve higher performance and broader applicability while keeping data control and IP protected. We deliver these superior models through drug discovery applications that enable teams to run them at scale further customize them and integrate them into existing R&D workflows.
Across these networks models are trained on proprietary industry datasets to achieve higher performance and broader applicability while keeping data control and IP protected. We deliver these superior models through drug discovery applications that enable teams to run them at scale further customize them and integrate them into existing R&D workflows.
- AI Structural Biology (AISB) Network: Pharmaceutical companies collaborate in the field of co-folding structure-based binding affinitypredictionsand antibody design.
- ADMET Network: Pharmaceutical and biotech companies collaborate to improve small-molecule property prediction and expandinto further drug modalities.
- Antibody developability Network:Pharma partners collaborate to federate historical and purpose-built antibody developability data sets for secure ML training without data leaving each partners environment.
About the role
We are looking for a hands-on Senior Software Engineer to design and implement the drug discovery workflows at the core of Apheris platform.
In this role you will be a strong individual contributor with end-to-end ownership of meaningful technical scope - designing building and operating workflows used in production by leading pharmaceutical companies. While this role does not include people management it requires technical leadership through example strong ownership and active collaboration across teams.
You will work closely with drug discovery scientists the data team machine learning and software engineers to translate scientific problems into reliable scalable automated workflows. This role is ideal for someone who enjoys shipping high-quality software in a fast-moving startup environment takes pride in execution and is motivated to continuously improve both the product and the way we build it.
In this role you will be a strong individual contributor with end-to-end ownership of meaningful technical scope - designing building and operating workflows used in production by leading pharmaceutical companies. While this role does not include people management it requires technical leadership through example strong ownership and active collaboration across teams.
You will work closely with drug discovery scientists the data team machine learning and software engineers to translate scientific problems into reliable scalable automated workflows. This role is ideal for someone who enjoys shipping high-quality software in a fast-moving startup environment takes pride in execution and is motivated to continuously improve both the product and the way we build it.
What you will do
- Design and implement drug discovery workflowsprimarily in Pythonto solve real drug discovery problems and automate the drug design process.
- Contribute to system design and architectural discussions helping evolve platform components as the product and customer base scale.
- Collaborate cross-functionally across engineering data machine learning and drug discovery science to deliver cohesive end-to-end functionality.
- Use AI coding tools efficiently exercising good judgment on the balance betweenagenticallybuiltproof of concept and robust production-grade code.
- Write high-quality maintainable and well-tested code and activelyparticipatein code reviews to uphold strong engineering standards.
What we expect from you
- A degree in computer scienceengineeringcomputational chemistry/biology or equivalent hands-on development experienceinarelateddomain.
- 5 years of professional experience as a developer with a strong focus on backend systems.
- Strong programming skills inPython.
- Solid experience working with Docker and containerized applications in production environments.
- Strong understanding of software engineering best practices including testing strategies.
- A strong senseof ownership and accountability for technical outcomes including reliability and long-term maintainability.
- Comfortable working in a fast-paced iterative startup environment where prioritiesevolveand trade-offs are part of daily decision-making.
- Excellent communication skills and fluency in English (verbal and written).
Nice to have
- Haveexperience running drug discovery workflows using engines likeNextflowPrefectandArgo Workflow.
- Experience working with AWS or another major cloud provider ideally in hybrid environments that includeon-premisedeployments.
- Practical experience with Kubernetes including deployingoperating and debugging cloud-native workloads.
- Experience supporting customers in production environments including debuggingissuesandcommunicating technical context clearly and pragmatically.
- Experience with CI/CD pipelines and infrastructure-as-code.
- Priorexposure to life sciencesmachine learning platforms or data-intensive products (not).
- A strong interest in combining software engineering skills withlifesciences.
What we offer you
- Industry-competitive compensation including early-stage virtual share options
- Remote-first working work where you work best whether from home or a co-working space near you
- Great suite of benefits including a wellbeing budget mental health benefits a work-from-home budget a co-working stipend and a learning and development budget
- Generous holiday allowance
- Office Days at our Berlin HQ or a different European location (3x a year)
- A fun diverse team of mission-driven individuals with a drive to see AI and ML used for good
- Plenty of room to grow personally and professionally
Required Experience:
Senior IC
About Company
Build ML-powered products using data that spans organizational or geographical boundaries, while ensuring compliance with regulation.
