Data Science Officer

Akkodis

Amsterdam

On-site

EUR 60,000 - 90,000

Full time

14 days+

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Benefits offered by this job

24 to 36 holidays

Company fitness

Health insurance

Good pension scheme

Annual team events

Job summary

A leading recruitment firm seeks a Data Science Officer in Amsterdam to manage and analyze clinical study data. The role involves developing AI and ML solutions and requires a university degree in a relevant field along with at least 2 years of experience. This is a full-time role with opportunities for personal and career development, plus a competitive employment package, including health insurance and work-life balance options.

Qualifications

Bachelor's degree in Data Science or related field.
At least 2 years of relevant experience in research or development.
Experience with data management and data analysis.
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Responsibilities

Manage and analyze clinical study data.
Implement AI and ML solutions.
Develop digital solutions and processes.
Coordinate data submission, analytics and extraction with EMA stakeholders.
Ensure compliance with data governance and access-control policies.

Skills

Data analysis

Data visualization

Statistical software (R, SAS)

Programming (SQL, Python)

Project coordination

Statistics

NoSQL

Education

University degree in relevant field

Tools

Tableau

Power BI

NoSQL databases

Oracle BI

Job description

Akkodis Amsterdam, North Holland, Netherlands

Direct message the job poster from Akkodis

Start: 02-02-2026

End: 31-12-2026

Deadline to apply: 11/01/2026 00:00

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!

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

Role Summary

The Agency is looking for a data science specialist experienced in the management, analysis and visualisation of clinical study data. Relevant activities include support to the receipt, validation, characterisation, analysis, and visualisation of clinical study data submitted to the Agency by medicines developers, and the development of related business processes. The latter includes support to the development of IT solutions (including data analysis programmes and tools), training/knowledge sharing and guidance.

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

The specific tasks of an individual job holder, linked to this role description, are further detailed and referenced in:

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.

In particular, a Data Science Officer will:

Liaise with external stakeholders on data submission, analytics and extraction.

Education

A level of education which corresponds to completed university studies of at least three years attested by a diploma in Data Science, Informatics, Computer Science, Engineering, Statistics, Mathematics, Physics, Chemistry, Biochemistry, Economics, Biology, Medicines, or Pharmacy or other fields of science that require advanced use of analytics skills.

Experience

At least 2 years of working experience in the fields of research, development, manufacture, regulation or authorisation of medicines.
Up to 3 years of full‑time relevant professional experience in:
Coordination of research projects;
The implementation of NoSQL databases and related solutions;
Data management and data analysis.
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 in working in a team and in a multicultural environment;

What do we offer?

Employment for 40 hours per week and the opportunity to work at innovative and progressing companies. You will be part of a fast growing Life Sciences team that is represented in different industries (biotech, pharma, food) and present in Life Sciences clusters in The Netherlands.