Pharmaceutical machine learning Work, Jobs (with Salaries)

Safety Scientist- Real World Evidence (RWE), EMEA
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Data Scientist
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3d

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Safety Scientist- Real World Evidence (RWE), EMEA

Thermo Fisher Scientific -
Remote

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Job details

Full-time
7 days ago

Qualifications

Power BI
Data mining
SAS
R
Data analysis skills
Tableau
Machine learning
Epidemiology
Data visualisation
Python

Full job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Join Us as a Safety Scientist III – Make an Impact at the Forefront of Innovation
We have successfully supported the top 50 pharmaceutical companies and more than 750 biotechs, spanning 2,700 clinical trials across 100+ countries in the last 5 years.

As part of our expert team, you’ll have the opportunity to ensure operational excellence that makes a real difference in patient safety. As a Safety Scientist III, you will be responsible for the planning, coordination, and delivery of signal detection and product safety scientist activities, with a focus on tasks that are low to high in complexity or which concern low to high complexity products. Additionally, you will support the mentoring of more junior colleagues, the development of processes, tools, and systems, and may serve as lead on smaller FSP-type projects.

Roles and Responsibilities

Support strategies for safety data generation, assessment, and communications by regular interactions with Safety Evidence Leads and other stakeholders across the organization world-wide, to gather information on topics to be analysed and present findings at internal meetings.
Synthesize contributions from multiple sources of data into meaningful insights in order to demonstrate product(s) value.
Monitor competitive environment for new safety information, and compares to safety information of our product(s), thus supporting differentiation activities.
In collaboration with Safety Evidence Leads and other stakeholders such as Biostatistics and Digital Technology, establish safety evidence information platforms/dashboards and oversees regular updates. Identify areas for innovation including AI/machine learning and similar.
Conduct data mining activities on regular basis to identify data gaps, and communicate safety findings promptly.
Ensure reproducibility and traceability of analyses through structured workflows and version control.
Maintain documentation of data extraction and analyses.
Assist in the design, execution, and reporting of pharmacoepidemiologic studies to address specific safety questions.
Attends relevant internal and external meetings for training, competitor intelligence, and collaboration with KOLs and other experts.

Skills and Competencies

5+ years of experience in data analysis to understand complex linkages of safety data from various sources, preferably in a pharmaceutical, biotech, or healthcare setting. Experience working with safety databases required, experience with large healthcare datasets (e.g., EHR, claims, registry data) is a plus
Proficiency in data extraction from the safety database (e.g. Argus Safety) and generating data insights using adequate digital tools.
Ability to identify gaps and translate them into actionable plans, especially cross-functionally, through technological tools (e.g. GenAI, Copilot, automation tools, etc.) without compromising clinical integrity.

Education, Experience and Qualifications

Degree in Data Science, Epidemiology, Biostatistics, Public Health, Computer Science, or a related field.
Familiarity with data visualization tools such as Tableau or Power BI, safety signal tools such as E
Empirica, or cloud-based data platforms. Proficiency in statistical programming languages (e.g., R, SAS, Python) is a plus.
Minimum of 5 years working in pharmaceutical/biotech industry.
Experience in regulated environments (both GCP and GVP).
Experience in RWE generation, pharmacoepidemiology and/or rare disease is a plus.
Ability to travel up to 20% of time as needed.

Why Join Us?

When you join Thermo Fisher Scientific, you become part of a global team that values passion, innovation, and a commitment to scientific excellence. You’ll work in an environment where collaboration and development are part of the everyday experience—and where your contributions truly make a difference.

Apply today to help us deliver tomorrow’s breakthroughs.

Apply Now

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