Software Engineer, Aignostics
Data Onboarding
AI precision diagnostics for medical research
Job no longer available
AI precision diagnostics for medical research
101-200 employees
Job no longer available
101-200 employees
Company mission
To help take drug research from visual estimations under a microscope to precise analysis and quantification.
Role
Who you are
- Bachelor and/or Master in a relevant field or extensive work experience
- 2+ years of professional software engineering experience, ideally in a data driven environment
- Deep sense of ownership to provide solutions end-to-end - from inception to completion - collaborating effectively with many stakeholders, including both technical and non-technical personnel
- Experience with software engineering in Python inc. Jupyter notebooks or similar
- Experience with database systems and data wrangling
- Experience with CI/CD pipelines (GitLab preferred), code reviews and best practices
- Experience with cloud providers (GCP or AWS), Docker and Kubernetes
- Driven self-starter, well-organized, excellent communication skills and a good team player
Desirable
- Hands-on experience with large language models and prompt engineering
- Basic experience with data science and machine learning
- Developed software in an regulated environment
What the job involves
- As a software engineer in our Data Onboarding Team (Polaris), you will be at the forefront of transforming raw clinical data into powerful insights and training data for our machine learning pipelines
- Working alongside scientists, engineers, and clinical partners, you will take charge of streamlining data onboarding pipelines and shape the way we integrate and scale critical medical data
- With a focus on impact, you’ll drive projects that enhance our platform’s capabilities, from curating complex datasets to ensuring our infrastructure is ready for cutting-edge analytics and discovery
- You will be part of a driven community that works in an agile, supportive and interdisciplinary research environment where your results make a difference to patients
- In our established startup you have the opportunity to grow personally and technically, take responsibility and benefit from a dynamic work environment
- Collaborate closely with project managers, applied scientists and machine learning engineers, as well as medical technical assistants in the labs of our clinical partners
- Apply your engineering superpowers to improve and scale the data pipelines connecting our clinical partners with our big-data SaaS platform
- Apply your data wrangling chops to clean and curate clinical datasets
- Apply your Jupyter chops for analytics and discovery
- Apply and grow your DevOps skills to maintain our platform services
- Learn how to apply machine learning and heuristics to extract structured data from text
- Perform code reviews, considering maintainability, reliability and scalability, ensuring well-architected solutions
Our take
There has been a worldwide increase in the numbers and complexity of cancer cases, alongside a predicted global shortage of pathologists. With this, classic manual analysis does not have the capability to support the precision medicine and drug development processes of the future.
Through its precision diagnostics platform, Aignostics turns complex biomedical data into transformative insights. It is able to power target identification (for drug development) and biomarker analyses, as well as support clinical trials with its toolkits.
The company plans to continue expanding its portfolio with new product offerings for biopharmaceutical clients. It is also leveraging its latest funding round to support growth in the US, as well as the development of leading foundation models for pathology in collaboration with Mayo Clinic.
Steph
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
47% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2024
$34m
SERIES B
Sep 2022
$14.6m
SERIES A
Total funding: $54.7m
Company benefits
- Join a purpose-driven start up: We are working collectively to fight cancer and improve patient outcomes. Come help us make a difference!
- Cutting-edge AI research and development, with involvement of Charité, TU Berlin and our other partners
- Work with a welcoming, diverse and highly international team of colleagues
- Opportunity to take responsibility and grow your role within the startup
- Expand your skills by benefitting from our Learning & Development budget, language classes and internal development programs
- Mentoring program, you’ll learn from great experts
- Flexible working hours and teleworking policy
- Enjoy your well-deserved time off within our 28 paid vacations days per year
- We are family & pet friendly and support flexible parental leave options
- Pick a subsidized membership of your choice among public transport sports and well-being
- Enjoy our social gatherings, lunches, and off-site events for a fun and inclusive work environment
Company values
- Mission Driven - We have a big mission, and we achieve it by taking ownership & responsibility. We are a trusted partner and never put patients at risk. We do what’s right & fair
- Idea Meritocracy - At Aignostics, the best ideas win, not the loudest or most ‘senior’ voices. For this to work, we embrace diversity, equity and inclusion across various disciplines and viewpoints as a crucial success factor. We always keep an open mind to changing our approaches, give our honest opinion, and don’t shy away from the truth
- Teamwork - We want to build a sustainable and high performing organization. We believe the key factors to achieving this are being a true team player, relying on each other and working with humility & respect. We want to learn together and help each other shine. Therefore we are all “coachable” so that we can take honest feedback, admit mistakes and learn from them. We believe that a healthy work-life-balance is the basis for good performance
Company HQ
Government District, Berlin, Germany
Articles
Leadership
Viktor Matyas
(Co-Founder & CEO)Experience as a Research Analyst at Arthur D Little, and Junior Engagement Manager at McKinsey.
Maximilian Alber
(Co-Founder & CTO)Previously Intern at Google and Researcher at the Berlin Institute of Technology.
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