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Established in 1806 as a small soap and candle business in New York City, Colgate-Palmolive is now a truly global company with products sold in over 200 countries under such internationally recognized brand names as Colgate, Palmolive, Softsoap, Irish Spring, Protex, Sorriso, Kolynos, elmex, Tom's of Maine, Sanex, Ajax, Axion, Soupline, Haci Sakir, Suavitel, PCA SKIN, EltaMD, Filorga and Hello as well as Hill's Science Diet, Hill's Prescription Diet and Hill's Ideal Balance.

Colgate-Palmolive is a leading consumer products company that serves hundreds of millions of consumers worldwide with brands and products across four core businesses – Oral Care, Personal Care, Home Care and Pet Nutrition. We are committed to offering products that make lives healthier and more enjoyable, and programs that enrich communities around the world.

Every day millions of people trust our products to care for themselves and the ones they love. Our goal is to use our technology to create products that will continue to improve the quality of life for our consumers wherever they live.

A career at Colgate-Palmolive is an excellent opportunity if you seek a global experience, constant challenge, and development opportunities in an environment that respects work/life effectiveness.

Job Title:  Senior Technical Associate Computational Biology

Travel Required?:  No Travel
Date:  Jan 15, 2021
No remote working option

Relocation Assistance Offered Within Country
# 95201 - Piscataway, New Jersey, United States


Colgate Palmolive is seeking a computational biologist with experience applying computational methods to integrate, visualize, and interpret data arising from metagenomic, transcriptomic, and proteomic analysis. The candidate will be expected to identify potential relationships and biomarkers within clinical and –omics data. He/she will use their expertise to integrate clinical data to model pathway interactions, the effect of exposure to various molecules of interest, and host microbiome interactions. This role will involve developing and maintaining state-of-the-art computational capabilities as well as building strong collaborations with clinicians, research scientists (biologists and microbiologists), and statisticians.


The key responsibilities of this position are as follows:

  • Analyze pre-clinical and clinical data to identify biomarkers of oral health and disease.
  • Develop tools to visualize biological interactions and algorithms to predict responses to exposure to actives of interest. 
  • Analyze large data sets (e.g. –omics) and correlate to clinical outcomes.
  • Develop statistical and machine learning-based models to leverage new insight into biological systems from –omics data (e.g., genomics, epigenomics, transcriptomics, metabolomics).
  • Characterize changes in multiple-omics profiles under different conditions.
  • Interpret and communicate complex experimental results to both technical and non-technical to business partners effectively.
  • Present technical findings to internal R&D community & management teams, external conferences, and to document findings in internal technical reports and/or external publications.
  • Form internal and external collaboration to progress project initiatives.


Required Qualifications:

  • Education
    - PhD in computational biology or related field with 2+ years postdoc or industry experience OR
    - MS with 4+ years in Computational Biology or related field
  • Experience utilizing biological databases.
  • Strong skills in systems-level data integration (NGS-derived) and predictive statistical modeling.  
  • Experience developing models utilizing large data sets to identify biological interactions. 
  • Experience in analyzing data from transcriptomics and metagenomic databases to provide mode of action and molecular pathway target info.
  • Skills in metabolic profiling.
  • Ability to interpret and analyze data sets to better understand microbiome, proteomic, and metabolomic interactions and pathways.
  • Fluency in at least one scripting language, preferably Python.
  • Experience in using statistical methods to analyze -omics data.


Preferred Qualifications:

  • Hands on experience with ArrayStudio, IPA and Galaxy environment.
  • Knowledge of oral biology and/or oral microbiology.
  • Practical experience of next-generation sequencing data analysis.


Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.

Are you interested in working for Colgate-Palmolive? You can apply online and attach all relevant documents such as a cover letter and resume or CV. Applications received by e-mail are not considered in the selection process. Become part of our team. We look forward to your application.

Colgate-Palmolive is a leading global consumer products company, tightly focused on Oral Care, Personal Care, Home Care and Pet Nutrition. Colgate sells its products in over 200 countries and territories around the world under such internationally recognized brand names as Colgate, Palmolive, elmex, Tom’s of Maine, Sorriso, Speed Stick, Lady Speed Stick, Softsoap, Irish Spring, Protex, Sanex, Elta MD, PCA Skin, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill’s Science Diet and Hill’s Prescription Diet. 

For more information about Colgate’s global business, visit the Company’s web site at To learn more about Colgate Bright Smiles, Bright Futures® oral health education program, please visit To learn more about Hill's and the Hill’s Food, Shelter & Love program please visit To learn more about Tom’s of Maine  please visit

Reasonable accommodation during the application process is available for persons with disabilities. Please contact with the subject "Accommodation Request" should you require accommodation.

Nearest Major Market: New Jersey

Job Segment: Scientific, Biologist, Data Analyst, R&D, Engineering, Research, Data