
Biotechnology • Pharmaceuticals • Science
Thermo Fisher Scientific is the world leader in serving science, with annual revenue of more than $40 billion. Their mission is to enable customers to make the world healthier, cleaner, and safer by supporting life sciences research, solving complex analytical challenges, increasing laboratory productivity, and improving patient health through diagnostics and the development of life-changing therapies. With a global team, they offer innovative technologies and pharmaceutical services through brands such as Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD.
November 20

Biotechnology • Pharmaceuticals • Science
Thermo Fisher Scientific is the world leader in serving science, with annual revenue of more than $40 billion. Their mission is to enable customers to make the world healthier, cleaner, and safer by supporting life sciences research, solving complex analytical challenges, increasing laboratory productivity, and improving patient health through diagnostics and the development of life-changing therapies. With a global team, they offer innovative technologies and pharmaceutical services through brands such as Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD.
• Contribute to data-driven decision-making within the organization • Deliver technical and professional mentorship on predictive and prescriptive analytics • Develop new methods to address data and analysis issues • Build analytical capability of HR business partners through mentorship and training
• Master’s degree in business, science, or statistics and 3 years of experience in HR data and analytics, or equivalent experience • Or Bachelor’s degree in engineering, mathematics, economics, or statistics and 5 years of experience in HR data and analytics, or equivalent background • Ability to craft prompts for better GenAI output • Proficiency in visualization and analytics tools such as Excel, PowerBI, SQL, Python • Knowledge of key HR metrics
• Health insurance • Retirement plans • Flexible work arrangements • Professional development • Wellness programs
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