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Lead (Pb) Research Assistant (Hourly) Job Announcement   12/05/23

Project TitleAssessing sources of lead exposure in Bangladesh

Lead, a potent neurotoxin, poses a serious threat to public health and human intellectual capital worldwide. This project aims to assess the levels of lead and other heavy metals in household and environmental samples from Bangladesh.


Project Description

Lead is a potent neurotoxin and poses a serious threat to public health and human intellectual capital worldwide. While no level of lead exposure is considered safe for humans, lead is particularly detrimental to children during the developmental period of their central nervous systems. Our past research in various countries worldwide has identified a need for field-appropriate rapid lead detection methods for environmental samples.

A primary objective of this project is to assess suspected sources of lead poisoning among 2,000 women and children in Bangladesh. Possible sources include environmental sources like air, water, or soil, as well as household dust, paint or cosmetics.


List of Research Assistant (Hourly) Responsibilities:

  • Prepare and analyze samples in the laboratory for quantitative chemical analysis using inductively coupled plasma mass spectrometry, x-ray fluorescence analysis, or x-ray diffraction analysis.
  • Assist in data synthesis and dissemination.


Qualification Requirements:

  • Eligible to apply:  Stanford undergraduate and master’s students in good academic standing
  • Highly desirable, but not strictly necessary:  Chemistry background, previous wet lab experience
  • Preference:  Undergraduate students willing to commit more than one quarter to project work
  • Location:  Research will be conducted in-person at Stanford


Commitment and Remuneration:

  • 10 hours per week.  Hourly pay in accordance with Stanford rates.


Faculty Mentor:                         Professor Scott Fendorf, Earth System Science

Team Members:                        Professor Scott Fendorf, Professor Steve Luby

Community Partner:                 icddr,b (Bangladesh):

Primary Research Mentors:  Ali Namayandeh (Postdoc) and Jenna Forsyth (Research Scientist)

Contact:  Please email , and as soon as possible with a CV and a statement of interest.  The position starts in Winter Quarter.

Focus Areas:      South Asia, Bangladesh; Environment and Climate Change, Health, Innovations in Methods and Data





BRICK (Kiln) Project:  Research Assistant (Hourly) Job Announcement   11/28/23

The Luby Lab, a public health research laboratory at Stanford that seeks strategic knowledge to improve health in communities, seeks an (hourly) research assistant (RA) to support the evaluation of an intervention aimed at implementing technical training on energy efficiency to reduce air pollution and coal consumption in 1,000 brick kilns in Bangladesh. Across South Asia, the brick manufacturing industry is dominated by inefficient kilns that generate enormous quantities of black carbon, carbon dioxide, and fine particulate matter. The pollution released by the brick industry impacts local air quality and health and agricultural productivity, as well as contributes to global climate change. The objective of this evaluation is to understand the effectiveness of this stage of the intervention and provide guidance for further scale-up.

The RA will work on data preparation, documentation, and analysis and will work closely with the research team. The RA will have exceptional data analysis, research, organization, and communications skills. The RA can be an Undergraduate or Graduate Student.



Data preparation and analysis:

  • Clean, prepare, and organize survey data as it is collected from the field.
  • Assess data quality, including identifying outliers and missing data.
  • Identify systematic patterns in data, as they pertain to data quality.
  • Write code for cleaning, preparation, and data quality checks in R (preferred, or Stata).
  • Assist in conducting statistical analysis, including regression analysis, and preparing publication-ready tables.
  • Assist in producing high-quality data visualizations and graphics.


  • Prepare detailed, clear, well-annotated, and organized code.
  • Create detailed logs of all data quality issues identified.



  • Hands on experience in R (preferred) or Stata is required.
  • Experience working with real datasets is required.
  • Exceptionally strong self-management and organizational skills 
  • Detailed oriented and self-motivated.
  • Ability to handle multiple projects at once, meet deadlines, and practice effective time management.
  • Ability to manage assigned tasks effectively and proactively and deliver high quality work.
  • Familiarity with statistical tools such as linear regression is required, and randomized controlled trials is preferred.
  • Coursework in microeconomics, econometrics, and development economics is preferred.
  • Prior work as a research assistant or in other programming/coding roles is preferred.


TIME:   10 hours per week.  

PAY:  Hourly rate in accordance with Stanford rates.

APPLY:  Please email Jill Mueller, , as soon as possible with a CV and a statement of interest. The position starts when filled.


What we look for:


* SKILLS                                                                                

   -  Data Analysis

   -  Data Cleaning                  

   -  R (programming language)

   -  Survey creation                  

   -  Machine Learning

   -  Remote Sensing       

   -  Project Management 

   -  Fieldwork Experience

   -  Foreign Language (Bengali)       


* We are open to all RAs in all quarters (including summers).

* We are open to motivated students who don't necessarily have these skills but have a passion for improving health and an eagerness to learn.

* Note:  We are always looking for Computer Science students for all projects.





ThursdaySeptember 21, 202312:00 PM - 1:00 PM
ThursdayOctober 19, 202312:00 PM - 1:00 PM
ThursdayNovember 9, 202312:00 PM - 1:00 PM
ThursdayDecember 7, 202312:00 PM - 1:00 PM
ThursdayJanuary 11, 202412:00 PM - 1:00 PM
ThursdayFebruary 8, 202412:00 PM - 1:00 PM
ThursdayMarch 14, 202412:00 PM - 1:00 PM
ThursdayApril 11, 202412:00 PM - 1:00 PM
ThursdayMay 9, 202412:00 PM - 1:00 PM
ThursdayJune 13, 202412:00 PM - 1:00 PM
ThursdayJuly 11, 202412:00 PM - 1:00 PM
ThursdayAugust 8, 202412:00 PM - 1:00 PM
ThursdaySeptember 12, 202412:00 PM - 1:00 PM
ThursdayOctober 10, 202412:00 PM - 1:00 PM