About Dexcom:
Founded in 1999, Dexcom, Inc. provides continuous glucose monitoring technology to help patients and their clinicians better manage diabetes. Since our inception, we have focused on better outcomes for patients, caregivers, and clinicians by delivering solutions for people with diabetes - while empowering our community to take control of diabetes.
The Dexcom Continuous Glucose Monitoring (CGM) systems are aimed at people with diabetes who need to monitor their sugar levels. Our Dexcom CGM system consists of a sensor, inserted under the skin to measure the level of glucose in the interstitial fluid (fluid in the tissue), eliminating the need for fingersticks. Our Dexcom CGM Systems have customisable alerts to warn users of dangerous glucose levels, even while they are asleep.
Role Summary:
We are looking for a Data Science intern for up to 6 months, commencing May / June 2023 (You must have completed your studies when you start your internship). You will be based in the UK and must have the Right to Work in the UK. You will be a key contributor to Dexcom’s core Data Science Team, collaborating to serve as the center of a best-in-class data science capability that augments and applies the whole of Dexcom’s data assets to drive value creation across the business, develop innovative data products, and enable a tailored Dexcom experience for all of our customers.
You will be working with the latest big data technologies and cloud computing platforms to query real-world data for commercial and clinical insights, support ad hoc data requests, develop ingestion pipelines for data modeling, and operationalize predictive model pipelines in a collaborative environment.
Possibility for internship to become permanent after the initial 6 months.
Due to existing partnerships with some universities, students currently studying a BSc (in a technical field such as data science, computer science, computer programming, information technology, or similar) from these universities are preferred: University of Edinburgh, Imperial College London, UCL (University College London), University of Leeds
Sign up and watch our recording from last year, to give you a real flavour of what to expect during your internship with us: https://dexcomconnections.com/
Essential Duties and Responsibilities:
Your main responsibilities will be to:
- Work under the guidance of Data Science mentor to write data ingestion pipelines, perform ad hoc analytics, operationalize model pipelines, and communicate results to data science team.
- Use techniques from statistical analysis and predictive modeling to build knowledge of Dexcom products, processes, and customers.
- Query and analyze data in support of existing apps and other products in commercial use.
- Support stakeholders across the business by executing advanced forms of analytics on diabetes-centric and other Dexcom data.
- Work with team under agile development methods.
- Munge, clean and interpret raw data into analysis-ready data sets.
- Perform high quality research in collaboration with other functional teams at Dexcom into the patterns and properties of diabetes centric data from the individual to population scale to inform product, digital services and business development.
- Document code in shared repositories and communicates project results to department on completion of program.
Required Qualifications/Experience:
To perform this job successfully, you must be able to perform each essential duty to a satisfactory standard. The successful candidate will have:
- BSc qualification in a technical field such as data science, computer science, computer programming, information technology, or similar, which will conclude prior to starting the internship.
- Typically requires 1-2 years of related experience (desirable)
- Familiarity working with high level programming languages (Python, SQL), databases, distributed computing platforms and their query interfaces.
- Familiarity with algorithms, the mathematical methods used to extract information from data, and with visualization software and techniques.
- Knowledge of statistical methods & good understanding of database systems .
- Demonstrated track record of collaboration.
- Ability to conduct independent research, motivated by hard technical challenges and results-driven.
- Excellent written and verbal communications skills, with a proven ability to translate complex methodologies and analytical results to business insights.
Other preferred qualifications include:
- Experience working with GCP BigQuery, Jupyter Notebook (or Jupyter Lab)
- Experience in continuous glucose monitoring and related data
Travel Required:
Dexcom Offers / Why Dexcom?
- A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community .
- A full and comprehensive benefits program, once you are a permanent employee.
- Growth opportunities on a global scale.
- Access to career development through in-house learning programs and/or qualified tuition reimbursement.
- An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve.
Please note:
The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons.
#LI-REMOTE
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Dexcom. Only authorized staffing and recruiting agencies may use this site or to submit profiles, applications or resumes on specific requisitions. Dexcom does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to the Talent Acquisition team, Dexcom employees or any other company location. Dexcom is not responsible for any fees related to unsolicited resumes/applications.