(Senior) Data Engineer / Manager

Location: Netherlands

SIRE® is the market leader in Life Sciences recruitment. We believe the recruitment market needs to gear up in technology and continuous innovation. We like technology, in a Life Sciences market driven on science, we couldn’t stay behind; we drive Recruitment Science. Investing a majority of our turnover in technology enables us to use unique Resource Technologies. By using highly advanced algorithms, we enable our team of Resource & Data Strategists© to maintain the most advanced, detailed and complete Life Sciences network in Europe. This big data enables us to work Reverse Recruitment©: we first analyze the market in-depth before we go out to the market. Because we analyze the whole market, we can compare facts and data. This enables us to do Facts & Big Data Recruitment©, making sure we, or better yet, you find the right career!Our client is a professional Pharmaceutical organisation, based in Zuid-Holland Netherlands.

The Company

The company is dedicated to bringing meaningful innovation to global health. Their teams focus on the discovery, development, manufacture and marketing of vaccines and antibodies to protect people worldwide from infectious diseases.

Role Description

She/he will oversee and design the flow of internal and external data that are critical to the realization of the project's mission. In this role, she/he partners with our researchers and data scientists to design, model, test, implement, and proactively manage cloud platform(s) that ingest, host and QC data types from a variety of sources, ranging from clinical, genomic, consumer and mobile device data. He/she will have experience designing and implementing end-to-end cloud architectures for the ingestion and analysis of both “big data” and “streaming data”. On a project-by-project basis, this individual will also be responsible for leading a team of IT and developer personnel to execute on larger projects. Lastly, this individual will partner closely with his/her operations colleagues to ensure monitoring of standards and procedures in alignment with the companies policies.

Responsibilities

• Lead the design, modeling, testing, implementation and management of cloud-based systems across key use cases and data types;

Examples include:
- Predictive biomarker discovery using next-generation profiling technologies (genomics, epigenetics, proteomics, microbiomics, metabolomics);
- Digital biomarker development from wearable technologies, unobtrusive/passive monitoring technologies and RWE datasets;
- Patient stratification biomarker discovery based on deep learning algorithms applied to CT imaging data;

• Recommend new technologies, architectures and business workflow improvements;
• Organizes, performs and automates data transfers from and to WWDA’s external collaborators;
• Works alongside the statistics and bioinformatics teams to scale and automate the coding of datasets for analysis;
• Represent Data Sciences & Prevention Biomarkers in conversations with IT, when necessary;
• Work with IT to ensure platform upgrades and improvements by supervising system programming;
• Monitors and reviews work product and ensures that any needed corrections are made;
• Ensure that projects are completed on time and within budget;
• Reviews for proper definition, control and coordination of data elements and standards, and ensures successful development of efficient data relationships, systems;
• Recommends improvement to data management policies and standards for efficient quality control and data administration;
• Designs and operates client-server database performance monitoring software, and utilize hardware, software and manual procedures for the verification of database systems;
• Oversees database system(s) operation. Ensures the efficient implementation and modification of database systems and resolves problems with database systems and applications;
• Develops and controls data security and integrity including procedures for recovery and backup;
• Oversees the development of software programs, algorithms and automated processes that cleanse, integrate and evaluate large data sets from multiple disparate sources.

Requirements

- MSc’s degree (or equivalent) with at least 5 years of industry experience;
- Expert in data management within the field of clinical/biological data according to applicable standards, guidelines and procedures;
- Experience with Amazon Web Services (AWS) – Cloud Computing Services, specifically;
- S3, EC2, Lambda, Kinesis, EMR, Glue, Redshift & API Gateway.

• Experience in 22CFRpart11 compliant LIMS and Data Collection & Reporting Software;
• Good leadership skills to interface and cooperate with internal and external resources ensuring that company requirements are met;
• Project Management within Data Management;
• Bioinformatics skills with emphasis on large predictive and digital biomarker dataset analysis (see Duties and Responsibilities);
• Appropriate software knowledge and skills in programming languages (Python, SQL, R, etc.);
• Knowledge and understanding of laboratory technology and results including Quality Control checks.

Other information

- Fulltime preferred, 32 hours is discussible;
- This is a temporary role with intention to permanent;
- Available to be 3 days on-site as minimum.

Are you interested and do want to apply for this role, please fill out your application via the apply button below and contact Michelle Tang.