What are the responsibilities and job description for the Statistician - Summer Intern position at Lensa?
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Adecco is hiring immediately for a Statistician (Summer Intern) with a local client in ST. LOUIS, MO ! Apply now if you meet the qualifications listed below!
Responsibilities:
Pay Details: $18.66 per hour
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
Equal Opportunity Employer/Veterans/Disabled
Military connected talent encouraged to apply
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.adecco.com/en-us/candidate-privacy
The Company Will Consider Qualified Applicants With Arrest And Conviction Records In Accordance With Federal, State, And Local Laws And/or Security Clearance Requirements, Including, As Applicable:
If you have questions about this posting, please contact support@lensa.com
Adecco is hiring immediately for a Statistician (Summer Intern) with a local client in ST. LOUIS, MO ! Apply now if you meet the qualifications listed below!
- Contract Type: Temp (12-Week Summer Internship)
- Pay: Up to $18.66 per hour
- Shift/Hours: Monday - Thursday Onsite, Friday Remote (8:00 AM - 5:00 PM)
- Location: St. Louis, MO (Preference for local candidates; remote considered for strong applicants)
Responsibilities:
- Collaborate with senior Statistics team members on the research and application of general linear models using specialized pet data.
- Develop and deploy analytics automation to support Round Robin design workflows in a production environment to improve efficiency and reproducibility.
- Present final project outcomes and analytical findings to the Applied Nutrition and Behavior teams at the conclusion of the internship.
- Apply advanced statistical training to real-world R&D projects in a collaborative, cross-functional environment.
- Education: Currently enrolled in a PhD program or in the final year of a Graduate program in Statistics, Biostatistics, or a related field. Master's candidates will be considered.
- Eligibility: Must be enrolled at an accredited U.S. college/university for the Fall 2026 term with an expected graduation date between December 2026 and May 2027.
- Technical Skills: Strong proficiency in R and/or Python; SQL experience is a plus.
- Statistical Methods: Solid foundation in applied statistical methods, including linear/nonlinear mixed effects models, experimental design, and power/sample size determination.
- Problem Solving: Demonstrated ability to independently solve complex analytical and methodological problems.
- Commitment: Must be able to commit to 12 full-time, consecutive weeks during the summer of 2026 and be eligible to work in the U.S. for the duration of the contract.
- Expertise in Bayesian statistics and complex power/sample size calculations.
- Familiarity with cloud computing platforms such as Azure and/or AWS.
- Exposure to AI/ML tools within an applied analytics or research context.
Pay Details: $18.66 per hour
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
Equal Opportunity Employer/Veterans/Disabled
Military connected talent encouraged to apply
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.adecco.com/en-us/candidate-privacy
The Company Will Consider Qualified Applicants With Arrest And Conviction Records In Accordance With Federal, State, And Local Laws And/or Security Clearance Requirements, Including, As Applicable:
- The California Fair Chance Act
- Los Angeles City Fair Chance Ordinance
- Los Angeles County Fair Chance Ordinance for Employers
- San Francisco Fair Chance Ordinance
If you have questions about this posting, please contact support@lensa.com
Salary : $19