Staff Data Scientist
Dexcom, Inc

Job Info

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About Dexcom

Founded in 1999, Dexcom, Inc. (NASDAQ: DXCM), develops and markets Continuous Glucose Monitoring (CGM) systems for ambulatory use by people with diabetes and by healthcare providers for the treatment of people with diabetes. The company is the leader in transforming diabetes care and management by providing CGM technology to help patients and healthcare professionals better manage diabetes. Since the company's inception, Dexcom has focused on better outcomes for patients, caregivers, and clinicians by delivering solutions that are best in class - while empowering the community to take control of diabetes. Dexcom reported expected full-year 2021 revenues of $2.48B, a growth of 27% over 2020. Headquartered in San Diego, California, with additional offices in the Americas, Europe, and Asia Pacific, the company employs over 6,000 people worldwide.

Position Summary:

As a Staff Data Scientist in Dexcom's Clinical Research Group, you will be a key contributor to Dexcom's core Clinical Research Team, collaborating with scientists, physiologists, and chemists within the group and across Dexcom's R&D and Clinical Affairs to provide best-in-class data science capability that drives innovation and insight into our current and next generation products. You will be working with the latest big data technologies and cloud computing platforms and work closely with the raw data from our R&D clinical trials to drive better clinical research and development activities.

Essential Duties and Responsibilities:

• Use techniques from statistical analysis and predictive modeling to build knowledge of Dexcom clinical trials, clinical sites, next generation products and measurement technologies
• Query and analyze data in support of Advanced Research and Development products
• Support stakeholders across R&D and Clinical Affairs with insights into clinical trial data
• Work with the team under agile development methods
• Munge, clean and interpret raw data into analysis-ready data sets.
• Assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management
• Plan and conduct high quality research into the patterns and properties of diabetes centric data from the individual to population scale to inform R&D and Clinical Affairs on product performance and clinical trial design and measurement methodologies
• Serve as a resource for the team and the business in big data algorithm design and selection.
• Evaluate published descriptions of mathematical and computational methods and apply them to derive value from Dexcom's data assets.

Required Qualifications:

• Experience working with human clinical trial data and clinical protocols
• Experience working with databases and distributed computing platforms and their query interfaces.
• Experience working with high level programming languages.
• Advanced knowledge or experience of statistical methods
• Advanced knowledge or experience with algorithms and the mathematical methods used to extract information from data.
• Experience provisioning compute resources with tools and software for exploratory data science discovery work.
• Good understanding of database systems
• Experience working with large data sets
• Experience with statistical languages and packages.
• Experience with visualization software and techniques.
• A team player with demonstrated track record of collaboration
• Capable of conducting independent research, motivated by hard technical challenges
• Results-driven, self-motivated, self-starter
• Excellent written and verbal communications skills, with a proven ability to translate complex methodologies and analytical results to business insights

Preferred Qualifications:

• Experience working with JMP, MATLAB, or Python.
• Experience working with GCP BigQuery or SQL.

• Experience developing software and especially for regulated medical devices.
• Experience with Python libraries for math and statistics or MATLAB.
• Experience with GCP Datalab, Jupyter Notebook, or Jupyter Lab
• Experience with statistical inference, data mining, pattern recognition or machine learning.
• Experience with probabilistic modeling, expectation maximization, gradient descent or related optimization techniques generally and as applied to the core algorithm components for cost function minimization in machine learning and the related numerical problems with implementation.

• Ability to write high quality technical articles for publication in industry and scientific journals.
• Experience working cross functionally with teams deployed across the US and internationally.
• Entrepreneurial experience at start-ups and academic labs.
• Experience in continuous glucose monitoring and related data.

Functional Description

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Functional/Business Knowledge

• Possesses advanced knowledge of technical principles and theories. Recommends solutions in support of functional objectives tied to overall company objectives and strategies.

Scope

• Demonstrates significant technical expertise, collaboration with others and independent thought. Anticipates potential complex problems requiring an in-depth evaluation. Demonstrates strategic thinking and commercial/industry understanding in functional projects.

Judgement

• Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results.
• Determines methods and procedures on new assignments and may coordinate activities of other colleagues.

Experience and Education

• Typically requires a Bachelors degree in a technical discipline, and a minimum of 8-12 years related experience or Masters degree and 5-7 years equivalent industry experience or a PhD and 2-4 years of experience.

Workplace Type

• The Workplace Type for this role is Flex. Based on the nature of your position you will be working onsite approximately 2-3 days per week from collaborative space and hoteling desks at our Dexcom sites. You will need to be located within commuting distance (typically 75 miles/120km) of your assigned Dexcom site.

If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Dexcom Talent Acquisition at talentacquisition@dexcom.com.

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Dexcom's AAP may be viewed upon request by contacting Talent Acquisition at talentacquisition@dexcom.com.

View the OFCCP's Pay Transparency Non Discrimination Provision at this link.

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