Roche
RWD Scientist(m/w/x)
Vollzeitnur vor OrtBerufserfahren
Basel
Neuer Job?Nejo!
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DSdsm-firmenich
Senior Real World Data Scientist / Epidemiologist / Biostatistician(m/w/x)
Kaiseraugst
VollzeitVor OrtSenior
Data Science
Nejo KI-Zusammenfassung
Analyzing large cohort, survey, biobank data with causal inference for nutrition, health, and prevention. Master's or PhD in Epidemiology/Biostatistics/Data Science, solid R programming required. Global, collaborative team environment.
Anforderungen
- Master's or preferably PhD degree in Epidemiology, Biostatistics, Data Science, or related field
- Several years of work experience (PhD considered work experience)
- Solid programming experience in R
- Experience with programming in Python (plus)
- Ability to read SAS code (plus)
- Familiarity with large-scale cohort data and real-world evidence challenges
- Experience analyzing data from national health surveys, biobanks, or nutritional data (preferred)
- Sound knowledge of standard statistical methods (regression, GLMM)
- Experience with causal inference techniques
- Experience with meta-analysis methods
- Experience with target trial emulation (plus)
- Experience with machine learning (plus)
- Experience with advanced analytics (plus)
- Experience with data engineering/wrangling (plus)
- Experience with database tools (SQL) (plus)
- Experience with cloud computing platforms (AWS) (plus)
- Experience with version control (Git) (plus)
- Experience with clinical trial data standards (CDISC) (plus)
- Knowledge of data privacy regulations (GDPR) (plus)
- Strong stakeholder management skills
- Initiative
- Curiosity about project goals and context
- Ability to act as a quantitative advisor for technical and non-technical stakeholders
- Team player
- Ability to communicate complex statistical concepts clearly to non-statisticians
- Thrives in open, global, collaborative, and diverse research environment
- Pragmatic and curious mindset
- Eye for the big picture
- Enjoyment of identifying gaps and opportunities in nutritional data
- Enjoyment of validating evidence
- Enjoyment of translating findings into actionable insights
- Fluent in English
Aufgaben
- Provide statistical and epidemiological expertise.
- Analyze large cohort, survey, biobank, and real-world data.
- Generate insights for nutrition, health, and prevention.
- Apply advanced techniques like causal inference.
- Address complex nutrition and health questions.
- Support Human Nutrition and Care project teams.
- Optimize decision-making in product discovery and development.
- Design robust experiments for nutrition and care products.
- Analyze data from clinical trials.
- Analyze data from consumer studies.
- Integrate and analyze data from diverse sources.
- Perform meta-analyses.
- Develop evidence for product development and marketing claims.
- Collaborate with bioinformaticians on omics data analysis.
- Optimize study designs for robust, actionable insights.
- Collaborate with study directors and scientists on designs.
- Ensure data-driven decisions with cross-functional teams.
- Serve as a project team member or statistical consultant.
- Participate in global external collaborations.
- Advance nutritional research and statistical methodologies.
- Drive innovation in nutrition and personal care data.
- Focus on causal inference and target trial emulation.
- Oversee outsourcing of data analyses to external partners.
- Ensure analyses meet quality standards.
- Ensure adherence to relevant guidelines and regulations.
- Work on a broad variety of projects.
- Handle competing priorities in a dynamic environment.
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- R
- Python
- SAS
- SQL
- AWS
- Git
Benefits
Abwechslungsreiche Aufgaben
- Variety of projects
Weiterbildungsangebote
- Continuous learning
- Professional development support
Lockere Unternehmenskultur
- Diverse, open-minded colleagues
- Global and collaborative team environment
- Supportive culture
Mentoring & Coaching
- Employee experience and growth
- Empowerment to grow
Sonstige Vorteile
- Caring and supportive workplace
Sinnstiftende Arbeit
- Opportunity to make impact
Sicherer Arbeitsplatz
- Safe and inclusive workplace
Startup-Atmosphäre
- Freedom to move across businesses, teams, and borders
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens dsm-firmenich erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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Vollzeitnur vor OrtBerufserfahrenGrenzach
DSdsm-firmenich
Senior Real World Data Scientist / Epidemiologist / Biostatistician(m/w/x)
Kaiseraugst
VollzeitVor OrtSenior
Data Science
Nejo KI-Zusammenfassung
Analyzing large cohort, survey, biobank data with causal inference for nutrition, health, and prevention. Master's or PhD in Epidemiology/Biostatistics/Data Science, solid R programming required. Global, collaborative team environment.
Anforderungen
- Master's or preferably PhD degree in Epidemiology, Biostatistics, Data Science, or related field
- Several years of work experience (PhD considered work experience)
- Solid programming experience in R
- Experience with programming in Python (plus)
- Ability to read SAS code (plus)
- Familiarity with large-scale cohort data and real-world evidence challenges
- Experience analyzing data from national health surveys, biobanks, or nutritional data (preferred)
- Sound knowledge of standard statistical methods (regression, GLMM)
- Experience with causal inference techniques
- Experience with meta-analysis methods
- Experience with target trial emulation (plus)
- Experience with machine learning (plus)
- Experience with advanced analytics (plus)
- Experience with data engineering/wrangling (plus)
- Experience with database tools (SQL) (plus)
- Experience with cloud computing platforms (AWS) (plus)
- Experience with version control (Git) (plus)
- Experience with clinical trial data standards (CDISC) (plus)
- Knowledge of data privacy regulations (GDPR) (plus)
- Strong stakeholder management skills
- Initiative
- Curiosity about project goals and context
- Ability to act as a quantitative advisor for technical and non-technical stakeholders
- Team player
- Ability to communicate complex statistical concepts clearly to non-statisticians
- Thrives in open, global, collaborative, and diverse research environment
- Pragmatic and curious mindset
- Eye for the big picture
- Enjoyment of identifying gaps and opportunities in nutritional data
- Enjoyment of validating evidence
- Enjoyment of translating findings into actionable insights
- Fluent in English
Aufgaben
- Provide statistical and epidemiological expertise.
- Analyze large cohort, survey, biobank, and real-world data.
- Generate insights for nutrition, health, and prevention.
- Apply advanced techniques like causal inference.
- Address complex nutrition and health questions.
- Support Human Nutrition and Care project teams.
- Optimize decision-making in product discovery and development.
- Design robust experiments for nutrition and care products.
- Analyze data from clinical trials.
- Analyze data from consumer studies.
- Integrate and analyze data from diverse sources.
- Perform meta-analyses.
- Develop evidence for product development and marketing claims.
- Collaborate with bioinformaticians on omics data analysis.
- Optimize study designs for robust, actionable insights.
- Collaborate with study directors and scientists on designs.
- Ensure data-driven decisions with cross-functional teams.
- Serve as a project team member or statistical consultant.
- Participate in global external collaborations.
- Advance nutritional research and statistical methodologies.
- Drive innovation in nutrition and personal care data.
- Focus on causal inference and target trial emulation.
- Oversee outsourcing of data analyses to external partners.
- Ensure analyses meet quality standards.
- Ensure adherence to relevant guidelines and regulations.
- Work on a broad variety of projects.
- Handle competing priorities in a dynamic environment.
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- R
- Python
- SAS
- SQL
- AWS
- Git
Benefits
Abwechslungsreiche Aufgaben
- Variety of projects
Weiterbildungsangebote
- Continuous learning
- Professional development support
Lockere Unternehmenskultur
- Diverse, open-minded colleagues
- Global and collaborative team environment
- Supportive culture
Mentoring & Coaching
- Employee experience and growth
- Empowerment to grow
Sonstige Vorteile
- Caring and supportive workplace
Sinnstiftende Arbeit
- Opportunity to make impact
Sicherer Arbeitsplatz
- Safe and inclusive workplace
Startup-Atmosphäre
- Freedom to move across businesses, teams, and borders
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens dsm-firmenich erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
dsm-firmenich
Branche
Science
Beschreibung
The company develops science-based health ingredients and innovative solutions in nutrition, health, and beauty.
Noch nicht perfekt?
- Roche
RWD Scientist(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBasel - 1201 F. Hoffmann-La Roche AG
Computational Statistician - Oncology(m/w/x)
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Data Strategy & Analytics Specialist(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBasel - 1201 F. Hoffmann-La Roche AG
Data Scientist in Sensor Data Analytics(m/w/x)
Vollzeitnur vor OrtSeniorBasel - Roche Pharma AG
Data Scientist - Schwerpunkt Statistik(m/w/x)
Vollzeitnur vor OrtBerufserfahrenGrenzach