Frequently Asked Questions
Create Your Account Now and Start Posting Resumes and/or Jobs
Create/Edit Your Resume
Search Jobs
Post Jobs, Search Resumes

1484 Posted Jobs
This page is developed
and maintained by the
Rollins School of Public Health.
Rollins Distance Learning

Job Title: Senior Biostatistician (Computational Exposomics)
Job Number: 106994
Organization: Emory University - Rollins School of Public Health
Posted: 3/3/2023
Type: Full-Time
Classification: Biostatistics
Industry: Academic Institutions
Number of Openings: 1
Location: Atlanta,  GA    USA
Position Description: The Comprehensive Laboratory for Untargeted Exposome Science (CLUES) in the Gangarosa Department of Environmental Health at Emory University seeks talented applicants with expertise in biostatistics, epidemiology, environmental health, data science and/or systems biology to join a growing research group that leverages state-of-the-art mass spectrometry platforms to measure the human exposome. These efforts have enabled new methods for significantly advancing the ability to characterize how exposures contribute to disease, and now provide a precision environmental health framework for studying the intersection of environment, biology and disease at the population level. We are an internationally recognized laboratory in the emerging field of exposome research and provide ample opportunities for training in cutting edge high-resolution mass spectrometry methods that explore exciting research questions at the interface of environment, multi-omics and human health. The ideal candidate will have experience coding in R or Python, and be willing to apply cutting-edge biostatistics and data science approaches for solutions in computational mass spectrometry, metabolism, and exposome-wide association studies (EWAS) in support of ongoing research projects. This position will support data analysis and management needs for a large range of research projects. Areas of study include environmental determinants of non- communicable diseases (cancer and other metabolic diseases), measuring complex exposures of emerging concern, including microplastics, PFAS, and e-waste, and establishing OMIC-based strategies for universal chemical surveillance and bioeffect monitoring. The facility currently houses two LC-HRMS (Thermo Exploris 120 Orbitraps) and three GC-HRMS (2 Thermo GC Q-Exactive and 1 Thermo GC-Exploris Orbitraps) and has plans to strengthen its technology base further. The exposome provides a new paradigm for understanding how complex exposures drive adverse health outcomes, and candidates will have the opportunity to be at the forefront of technological and data science methods for this emerging field of research.

Responsibilities may include:

Coding and data manipulation in R, Python or equivalent languages. Optimization and management of bioinformatic workflows for data extraction, processing and annotation of untargeted mass spectrometry data. Apply variable selection techniques based upon univariate and multivariate approaches. Perform EWAS for disease and adverse health outcomes. Database development for creating a cumulative resource of untargeted exposome studies. Organize and manage study meta-data. Establish and manage a FAIR data structure for untargeted mass spectrometry data. Provide summaries and interpretation of untargeted exposo

Our laboratory is located within the Rollins School of Public Health at Emory University. The Rollins School of Public Health is ranked 5th among public health graduate schools by U.S. News & World Report and ranked number 5 in the Blue Ridge Report amongst schools of public health receiving NIH support. The Gangarosa Department of Environmental Health houses researchers with interests spanning Environmental Health, including mechanistic and computational toxicology, genomics, the developmental origins of disease, air pollution, climate change, water, sanitation and hygiene, and environmental epidemiology. Within the department is Emory’s HERCULES Health and Exposome Research Center, an NIEHS P30 Environmental Health Support Center and the first Exposome Research Center in the US. The team science approach in this department provides opportunities to co-author publications with leading collaborators. We offer numerous opportunities for career advancement, including the ability to attend workshops on topics related to the exposome and data science, and travel to national and international conferences. Work-related experience will be considered in determining level and salary.


A master's degree in statistics, biostatistics, computer science, or a related field and three years of experience as a biostatistician, preferably in an academic setting, OR an equivalent combination of education, training, and/or experience. Proficiency in modern high level statistical languages such as S-PLUS or SAS and in database management.


The ideal candidate must have training in metabolomics, epidemiology, engineering, biostatistics, data science, bioinformatics or other environmental health related fields. Previous experience with big data analysis or omics is preferred. Experience with R or an equivalent programming language is preferred. Strong organizational and time management skills, with the ability to independently meet project timelines is preferred. While preference will be given to candidates with the expertise summarized above, we are willing to train exceptionally motivated individuals with strong analytical and communication skills. Candidates will have hands-on experience working with exposome studies and have the opportunity to learn fundamentals of untargeted mass spectrometry data acquisition and analysis, pre-processing workflows, EWAS and characterization and interpretation of results.

Organization Description:

Closing Date: 6/3/2023
Desired Starting Date:
Contact Name: Maya Christie,  Senior Recruiter
Contact Location: 1599 Clifton Road NE

Atlanta   GA  30322
United States
Contact Location: 1599 Clifton Road NE
  Atlanta   GA  30322
  United States
Contact Phone:  
Contact Fax:
Contact Email:
Web Address:
How to Apply:

Additional Information:

Web Site Delete Date: 6/3/2023