Your responsibilities:
Be technically opinionated, with demonstrated adherence to best practices in software engineering including appropriate use of abstraction, testing, usability, and version control to create sustainable and reusable software.
Collaboratively and pragmatically solve scientific software engineering challenges encountered at the forefront of quantifying test article effects.
Collaborate with local and off-shore engineering teams to support your software development efforts.
We are looking for you, if you have:
BS or higher in bioinformatics, computer science or related field.
5+ years experience developing tools for data analysis. Seniority of position will depend on experience and other factors.
Python (Flask/Django)
Frontend development (JavaScript, React)
REST and GraphQL API experience
Source code management
RDBMS/NoSQL (Postgres, MongoDB)
GCP AWS
Familiarity with High Performance Computing (HPC) Systems
Experience supporting data science activities using FAIR data management and reproducible practices.
Biological domain knowledge and basic data analysis skills are desirable but not required.
Ability to work iteratively and according to agile methodologies
In addition:
You are enthusiastic about working in a scientific environment, especially one that is related to drug discovery and development.
You are a quick learner, are curious about new areas and the opportunity to build expertise, and courageously and creatively take initiative to see your ideas implemented.
You are attracted by the challenges of developing software that solves universal problems in bioinformatics.
You are able to perform at a high level in a fast changing and demanding environment.
You are pragmatic about the tradeoffs between features, quality, and timeliness.
We offer:
Participation in interesting and challenging projects.
Flexible working hours.
A great, non-corporate atmosphere.
Opportunities for development and promotion.
Attractive package of benefits.
We reserve the right to contact the selected candidates.