Data Science Officer

DATA SCIENCE OFFICER| FULL-TIME 40 HOURS | EUROPEAN MEDICINES AGENCY | AMSTERDAM

We, Akkodis Life Sciences, are looking for a Scientific Officer who can strengthen the team at our customer, European Medicines Agency, in Amsterdam.

Role summary

Suporting Business Analysis & Forecasting (BAF) activities at the EMA, the Interim will gain insight in the pharmaceutical R&D pipeline and communicate findings within EMA and the Network.

Your responsibilities are

• The duties of the role are performed under the supervision, including guidance and support, of temporary staff.
• Understand, analyse and present data requirements in a visual, clear and structured manner, and translate business needs into scenarios, analytical approaches and solutions to impact on business processes and decision-making;
• Develop and coordinate the implementation of activities through delivery of new processes and digital solutions, in collaboration with EMA’s users and stakeholders.
• Manage and coordinate activities associated to data management and data analysis activities as required.
• Design AI and ML solutions undertake proof-of-concepts and implement these solutions.
• Manage ongoing improvements to methods and algorithms that lead to findings, including new information.
• Coordinate, develop and implement processes and methods ensuring that the information used follows the compliance, access management and control policies of the Agency and meets the qualification and assurance requirements of the business;
• Create, implement and drive data analyses, dashboards, solutions for data available at the Agency and processes related to data modelling, data processing, data architecture, data integration, data quality, data analysis and data visualisation activities.
• Coordinate business data management and analytics input (e.g. performing UATs, verify data consistencies and verify metrics output) in projects aiming to deliver new data-driven IT solutions or in the maintenance processes of data-driven IT solutions
• Inform data collection, integration and retention requirements based on the input collected with the business;
• Leverage tools and resources to plan, evaluate and execute strategic initiatives
• Experiment through implementation of new technologies.

Role specific duties & responsibilities

• Analyse factors affecting MAA submissions predictability
• Develop data models and tools to improve submissions predictability
• Support the development of a methodological framework to improve submission predictability
• Report summarising findings including trends and key factors affecting predictability of submissions
• Data model and tool for submission predictability
• New forecast reports structure according to findings
• Presentation of the analysis to the European medicines regulatory network
• Publish the outcome in a peer reviewed journal

The set of annual performance and development objectives, which are established together with the reporting officer;

the requirement to comply with SOPs, WINs, Confidentiality Undertaking and other documentation relevant to the role and its scope. These will be agreed upon with the reporting officer upon assuming duties.

Communication and professional contacts

• Required to receive and convey information, orally and/or in writing, of a non-routine nature which needs careful explanation and interpretation e.g. explaining or interpreting policies, systems, processes; dealing with matters of a sensitive nature; formulating responses to more complex enquiries; drafting news items, letters, minutes, reports or presentations.
• Regular professional contacts with others inside and/or outside the Agency on functional matters. Solicits/gives information, provides advice/guidance and should use initiative. A likely requirement is to influence others’ thinking and negotiate with various parties within own job responsibilities. Normally connected to the Agency's core business or a project.
• Liaise with external stakeholders on data submission, analytics and extraction.

Welkom bij Akkodis

We are Akkodis. We put the talents, skills and ambitions of our Consultants first. Because we continuously offer you challenging projects, you continue to develop and you can realize your ambitions. This is our view on good employment practices. We, Akkodis Life Sciences, offer you internal and external projects in the field of QA, QC, PV, RA, R&D, Supply Chain and related.

We have +/- 60 Consultants working at the EMA, Astellas, Unilever, Corbion, MSD, Organon, Aspen and many more! 

Kandidaat Profiel

• A level of education which corresponds to completed university studies of at least three years attested by a diploma in Data Science, Computer Science, Statistics, Physics, Biochemistry or Pharmacy.
• At least 2 years of working experience in the fields of research, development, manufacture, regulation or authorisation of medicines, preferably veterinary medicines;
• At least 2 years of work experience in data management, business intelligence, and data analysis and data presentation;
• Understanding, cleansing, integrating and analysing massive and live data sets; data modelling and data quality frameworks;
• Using statistical software (for instance R, SAS, etc.) and programming languages used in analytics (for instance SQL, PL-SQL, Python, R, etc.);
• Using data visualisation tools (for instance Tableau, R Shiny, Oracle BI, Power BI, etc.);
• Experience with Data visualisation, Data modelling and design.
• Knowledge of data collection and practices with data analysis tools;
• Research and analytical skills; Excellent written communication skills;
• Basic knowledge of the EU regulatory aspects related to the medicinal product and/or medical device lifecycle;

Are you interested in this challenge, or do you want to come in touch?

Please contact your Talent Acquisition Specialist by sending your CV* and motivation letter to lifesciences@akkodisgroup.com