Senior Scientist Real World Data- Princeton, NJ
senior
OtherScientist
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Quick Summary
Key Responsibilities
* Real World Data & Human Population Research: Analyze large-scale human datasets including public databases, observational cohorts, biobanks, national health surveys, and real-world evidence sources.
Technical Tools
OtherScientist
Senior Scientist, Real World Data
Location: Princeton, NJ or Columbia, MD
We are seeking a highly motivated Senior Scientist – Real World Data to support innovation across Human Nutrition & Care.
This role combines expertise in real-world human datasets, epidemiology, multi-omics analytics, and systems biology to generate scientific insights that inform ingredient discovery, biomarker identification, healthy aging research, and evidence generation.
The successful candidate will leverage large-scale cohort studies, observational datasets, biobanks, microbiome studies, and molecular datasets to uncover relationships between nutrition, biology, and health outcomes. By integrating human population data with molecular insights, this senior scientist will help advance scientific understanding and strengthen the foundation and pipeline of nutrition and health solutions.
Your Key Responsibilities:
* Real World Data & Human Population Research: Analyze large-scale human datasets including public databases, observational cohorts, biobanks, national health surveys, and real-world evidence sources.
* Evaluate relationships between food, dietary supplements, biological markers, and health outcomes, to support target and biomarker discovery.
* Contribute to scientific publications, presentations, and external collaborations.
* Collaboration & Scientific Impact: Work closely with data scientists, study directors, nutrition scientists, microbiome scientists, and innovation teams.
* Communicate scientific findings to both technical and non-technical stakeholders.
* Collaborate with external academic institutions, research consortia, and industry partners. Maintain awareness of emerging technologies, datasets, and analytical approaches relevant to human health and nutrition
We Offer:
* A hybrid workplace that offers flexibility to employees across the business.
* A broad variety of projects, data types, and statistical approaches, ensuring you never stop learning and can apply a wide range of methods.
* A team of diverse, open-minded colleagues who aren’t afraid to think outside the box and challenge the status quo.
* A truly global and collaborative team environment that cares about our employees’ experience and growth.
* Unique career paths across health, nutrition and beauty - explore what drives you and get the support to make it happen.
* A chance to impact millions of consumers every day – sustainability embedded in all we do.
You Bring:
* PhD in Computational Biology, Bioinformatics, Epidemiology, Systems Biology, Nutrition Science or related discipline.
* 5+ years of post-doctoral experience working in human health, nutrition, biomedical, or population-scale datasets.
* Demonstrated record of delivering impactful insights from complex datasets.
* Strong programming skills in Python/R
* Extensive experience working with large-scale human cohort, observational, biobank, or real-world datasets
* Deep understanding of Multi-omics analysis (Genomics, Transcriptomics, Metabolomics, Metagenomics), Epidemiology, Target discovery, Biomarker discovery
* Experience with data harmonization and integration across diverse data sources.
The salary or hourly wage scale provided reflects the pay range dsm-firmenich expects to pay the successful candidate for the position. Individual pay offered will be based on the applicant’s job-related skills, experience, relevant education, or training, and primary work location. This position is also eligible for bonuses and benefits, which are not included in the pay scale provided. Salary $140,000 -$170,000.
About dsm-firmenich
At dsm-firmenich, we don’t just meet expectations – we go beyond them.
Join our global team powered by science, creativity, and a shared purpose: to bring progress to life.
From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions – every single day. Whether it’s fragrance that helps you focus, alternative meat that’s better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere.
And while you’re making a difference, we’ll make sure you’re growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They’re essential to our future.
Because real progress only happens when we go beyond, together.
The application process
Interested in this position? Please apply online by uploading your resume in English.
Inclusion, belonging and equal opportunity statement
At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work – and that’s exactly the kind of culture we’re building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong.
We’re proud to be an equal opportunity employer, and we’re serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we’re committed to reflecting the world we serve.
We welcome candidates from all backgrounds — no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you.
And if you have a disability or need any support through the application process, we’re here to help – just let us know what you need, and we’ll do everything we can to make it work.
Agency statement
We’re managing this search directly at dsm-firmenich. If you’re applying as an individual, we’d love to hear from you. We’re not accepting agency submissions or proposals involving fees or commissions for this role
Location & Eligibility
Where is the job
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Location terms not specified
Listing Details
- Posted
- October 1, 2026
- First seen
- October 1, 2026
- Last seen
- October 1, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 56%
- Scored at
- October 1, 2026
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