Beschreibung
Hi,I'm looking for developer for my client in Basel
start end of June 2019 - until end of 2019 + extention
UK EU or swiss passport in required
An exciting position has arisen for a talented full-stack web developer to work in close collaboration with our technical lead to implement a number of technical projects, initially focusing on delivery of a web-based application tracking/commenting/bug reporting/metrics tool, but then moving on to other interesting projects such as web mashup API integration, a new internal crowdsourcing platform and other innovative projects in the pipeline. The successful candidate should have a proven and documented (eg. Git) track record in developing complex web-based solutions and possess some or all of the following technical skills:
- Web technologies (HTML, CSS, JS)
- UI technologies (React, Vue, Polymer, React native)
- API development (SOAP, RESTFul, GraphQL, Falcor)
- JavaScript ecosystem knowledge (TypeScript, flow, yarn, node workflow)
- Security (JWT, LDAP, SAML, SSL, cryptography)
- Data Structures
- OOP (Java, Python, R...)
- FP (Haskell, Scala, F#...)
- Big Data Technologies (Hadoop, Hive, Storm etc...)
- Relational Databases (MySQL, PostgreSQL, MariaDB, Oracle etc...)
- noSQL store (HBase, Cassandra, MongoDB)
- Caching technologies (memcached, redis, Hazelcast)
- Devops knowledge (AWS services, OpenShift, Ansible, )
- Serverless Technologies (Lambda, serverless framework, AWS API Gateway etc...)
In addition to the above, Clinical Analytics is continuing to augment its analytical capabilities in the emergent data science/predictive analytics/machine learning space, providing a range of services to business including time-series forecasting, sentiment analysis, decision tree analysis, risk analysis etc. It would therefore be highly advantageous for a candidate to also possess some or all of the following skills:
- ML algorithms (Linear Regression, Logistic Regression, SVM, Decision Tree, kNN, K-Means, Random Forest, Naive Bayes etc...)
- ML/DL applied knowledge (Tensorflow, sklearn, Pytorch, Stan, Caffe2, Spacy, CNTK...)
From a non-technical perspective we are looking for an individual who is a self-starter, able to ‘own’ their own domain of responsibility, work with minimal supervision, plan their own time, as well as being able to reach out, work and collaborate with other members of the team. This person should naturally have excellent problem-solving ability, strong attention to detail, be a quick learner and be able to connect the dots. Ideally they should be able to train, mentor others and share ideas to inspire and provoke discussion and learning within the group.
Preferred qualifications include a Master’s Degree in Statistics, Mathematics, Computer Science or equivalent.
The candidate should be fluent in English.
Please apply via: