Reads like a Data Scientist role: models and experiments.
Singapore, SG
Live, first seen by us 19 days agoCurrently pursuing a undergraduate in Data Analytics, Data Science, Statistics, Applied AI, Information Technology or a related discipline
Clean, merge and transform clinical trial datasets in R or Python
Run quality checks and flag missing values, inconsistencies and outliers
Produce descriptive statistics, tables and plots for analysis
Support query tracking and resolution with the clinical team
Summarize literature and help prepare presentations and reports
Use R and/or Python to clean, merge and transform datasets
identify missing values, inconsistencies and outliers
generate descriptive statistics, tables and plots
support query tracking and resolution with the clinical team
prepare concise summaries, and support presentations and reports
We are EssilorLuxottica, a global leader in the design, manufacture and distribution of ophthalmic lenses, frames and sunglasses.
In the employer’s words · Read in context
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 19
Similar jobs usually come down between day 7 and day 56.
At EssilorLuxottica Group, jobs usually come down by about day 51.
From 10,194 similar postings that came down, and 24 of EssilorLuxottica Group’s. Coming down is not always a hire.
12 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
JOB SCOPE AND MAIN RESPONSIBILITIES: The Data Analyst Intern supports the Clinical & Product Evaluation team in clinical trial data management and analysis. Working under supervision, you will contribute to data preparation, quality checks, statistical analysis and reporting using R and/or Python, while gaining exposure to clinical research, myopia studies and Good Clinical Practice (GCP) principles. - Expected results: Clean, documented datasets; reproducible analysis scripts; accurate tables and figures; and clear summaries of findings through presentations or reports.
- Clinical Trial Data Support: Assist with data entry, dataset preparation and routine quality checks; identify missing values, inconsistencies and outliers; support query tracking and resolution with the clinical team; maintain study data documentation and progress trackers. - Statistical Analysis and Programming: Use R and/or Python to clean, merge and transform datasets, generate descriptive statistics, tables and plots, and assist with statistical tests and exploratory analyses under supervision and in line with approved analysis plans. Document and check scripts to support reproducible results. - Research and Reporting: Review assigned literature and analysis methods, prepare concise summaries, and support presentations and reports. Explain findings clearly, flag data limitations, and handle participant information in accordance with GCP and personal data protection requirements.
- Foundational statistical knowledge, including descriptive statistics, hypothesis testing, confidence intervals, correlation and basic regression. - Proficient in R and/or Python for data cleaning, manipulation, statistical analysis and visualization; able to write clear, documented scripts. - Proficiency in Microsoft Excel, Word and PowerPoint; familiarity with R packages (e.g., dplyr, tidyr, ggplot2) or Python libraries (e.g., pandas, NumPy, SciPy, matplotlib) is an advantage.
- Proficient in R and/or Python for data cleaning, manipulation, statistical analysis and visualization; able to write clear, documented scripts. - Proficiency in Microsoft Excel, Word and PowerPoint; familiarity with R packages (e.g., dplyr, tidyr, ggplot2) or Python libraries (e.g., pandas, NumPy, SciPy, matplotlib) is an advantage. - Interest in clinical research, healthcare data and vision science; willing to learn clinical trial terminology, study design and GCP principles.
Complete your application on careers.essilorluxottica.com. The employer’s form will show what is required.
Already applied? Track this application
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
WHO WE ARE
We are EssilorLuxottica, a global leader in the design, manufacture and distribution of ophthalmic lenses, frames and sunglasses. The Company brings together the complementary expertise of two industry pioneers, one in advanced lens technologies and the other in the craftsmanship of iconic eyewear, to create a vertically integrated business that is uniquely positioned to address the world’s evolving vision needs and the global demand of a growing eyewear industry.
With over 200,000 dedicated employees in 150 countries driving our iconic brands, our people are creative, entrepreneurial and celebrated for their unique perspectives and individuality. Committed to vision, we enable people to “see more and be more” thanks to our innovative designs and lens technologies, exceptional quality and cutting-edge processing methods. Every day we impact the lives of millions by changing the way people see the world.
JOB SCOPE AND MAIN RESPONSIBILITIES:
The Data Analyst Intern supports the Clinical & Product Evaluation team in clinical trial data management and analysis. Working under supervision, you will contribute to data preparation, quality checks, statistical analysis and reporting using R and/or Python, while gaining exposure to clinical research, myopia studies and Good Clinical Practice (GCP) principles.
Expected results: Clean, documented datasets; reproducible analysis scripts; accurate tables and figures; and clear summaries of findings through presentations or reports.
Challenges: Working with incomplete or inconsistent clinical trial data, managing multiple tasks and timelines, and maintaining accuracy, traceability and confidentiality.
Success factors: Sound statistical fundamentals, careful coding and documentation, attention to detail, and clear communication, including seeking timely guidance when uncertain.
AREAS OF RESPONSIBILITIES AND RELATED ACTIVITIES:
Clinical Trial Data Support: Assist with data entry, dataset preparation and routine quality checks; identify missing values, inconsistencies and outliers; support query tracking and resolution with the clinical team; maintain study data documentation and progress trackers.
Statistical Analysis and Programming: Use R and/or Python to clean, merge and transform datasets, generate descriptive statistics, tables and plots, and assist with statistical tests and exploratory analyses under supervision and in line with approved analysis plans. Document and check scripts to support reproducible results.
Research and Reporting: Review assigned literature and analysis methods, prepare concise summaries, and support presentations and reports. Explain findings clearly, flag data limitations, and handle participant information in accordance with GCP and personal data protection requirements.
KEY REQUIREMENTS:
Currently pursuing a undergraduate in Data Analytics, Data Science, Statistics, Applied AI, Information Technology or a related discipline.
Able to commit for a minimum of 6 Months (Jan - Jun/Jul, 2027)
Foundational statistical knowledge, including descriptive statistics, hypothesis testing, confidence intervals, correlation and basic regression.
Proficient in R and/or Python for data cleaning, manipulation, statistical analysis and visualization; able to write clear, documented scripts.
Proficiency in Microsoft Excel, Word and PowerPoint; familiarity with R packages (e.g., dplyr, tidyr, ggplot2) or Python libraries (e.g., pandas, NumPy, SciPy, matplotlib) is an advantage.
Interest in clinical research, healthcare data and vision science; willing to learn clinical trial terminology, study design and GCP principles.
Able to interpret data outputs, communicate findings clearly, and seek guidance on statistical methods and clinical interpretation.
Attentive and meticulous in data handling, quality checks and documentation; respects confidentiality and follows approved data access procedures.
Reliable, well-organized and eager to learn, with good problem-solving and communication skills and the ability to work independently or collaboratively within a team.
Recruiting process
Our recruitment process may vary; If you are selected, you will be contacted by our recruiters to guide you through the specific steps for your application.
Our Diversity, Equity and Inclusion commitment
We are committed to creating an inclusive environment for all employees. We celebrate diversity and provide equal opportunities to all, regardless of race, gender, ethnicity, religion, disability, sexual orientation, or any other characteristic that makes us unique.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Singapore, SG
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.