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Data Scientist

Posted on Oct 10, 2019 by Michael Bailey Associates - UK Contracts

Basel, Switzerland
IT
Immediate Start
Annual Salary
Contract/Project

Michael Bailey is happy to present an initial 12 month contract at a large Swiss Pharmaceutical company based in Basel, Switzerland, for an outstanding Data Scientist opportunity

Data Scientist

Job Purpose
The Data Scientist will work alongside scientists and product developers to answer scientific questions using data. They will apply and develop analytical methods and predictive models that deliver impact on research and drug develop programs. They will productionize successful work with the goal of re-purposing it for wider application. Data Scientists will also contribute to the design of our AI supported data platform.

Major accountabilities
Ensures that the scientific question being addressed and interpretation of the data being used is commonly and accurately understood within their team. Contributes to the identification and preparation of chem/biomedical datasets for application in their work. Develops key results and quality benchmarks for data, models and impact in collaboration with scientific users. Develops approaches, methods and models iteratively, communicating results effectively with non-data scientist associates, supporting expert introspection at each stage. Applies their expertise in machine learning, deep learning, data vizualisation and structured/unstructured data analytics towards the scientific goals of their team. Can engineer their solutions. Python, R are required. C, for productization of models and Java, for vizualisation or prototyping, for example, are desirable.

Key Performance Indicators
The scientific goals of the team are achieved and the path to user, business and patient impact is clear.
The results of analysis and predictive models can be introspected and measured to gauge scientific validity and likely impact.
Data and user feedback loops drive continuous improvement.
Analytical tools and predictive models build the value of the data42 platform for the wider Company community over time.

Time allocation: More than 70%

Ideal background
Technical experience on Spark, distributed ML/DL, Python/R libraries, TensorFlow, docker container, ML algorithm

1. Strong computer science background with automation/integration is plus.
2. Basic understanding of genomics and bioinformatics.
3. Understand the difference between ML Runtimes which includes Spark and a number of common libraries bundled with it.
4. Able to compile, install and manage configuration of Machine Learning libraries and technologies (Esp. python and R languages, and esp. CUDA, NCCL, XGBoost, TensorFlow).
5. Able to install and manage configuration of Machine Learning tools and technologies using docker container solution.

You are:
Obsessed about impact: We enable and perform analysis that makes a difference - getting better medicines to more patients, faster. You're motivated by our vision and excited by the contribution you can make, personally.
Collaborative and creative: You will work in small cross-functional teams, empowered to discover, own and solve problems creatively.

If this sounds like you, please get in touch.

Michael Bailey International is acting as an Employment Business in relation to this vacancy.

Reference: 770935082

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