
10,000+ employees
Founded 1956
🧬 Biotechnology
💊 Pharmaceuticals
🔬 Science
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.
🕒 May 30
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10,000+ employees
Founded 1956
🧬 Biotechnology
💊 Pharmaceuticals
🔬 Science
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.
• The Data Analyst I provides extensive statistical and data programming support across multiple projects within the Patient-Centered Research (PCR) group. • Manage and analyze research data • Review and provide input into statistical analysis plan (SAP), study reports, and other relevant documentation for internal or external communication • Attend regular meetings with research teams
• Master's degree or equivalent degree in Epidemiology, Health Economics, Biostatistics or related field, or BA/BS degree with at least 3 years of work experience • Minimum of 3 years of SAS and/or R programming experience • Advanced knowledge in several of the following methods: Statistical testing (eg t-test, chi-2 test) and analysis of variance/covariance (ANOVA/ANCOVA); Exploratory/confirmatory factor analysis (EFA/CFA); Mixed effects modelling; Various regression techniques (eg linear, logistic, multinomial, ordinal, Poisson); Survival analysis (time-to-event data); Item-response theory (IRT); Data imputation; Multiple testing; Latent class analysis. • Strong written and oral communication skills in English
• Professional development opportunities
Apply Now🕒 May 28
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