Staff Clinical Research Data Scientist - Remote

Remote California, United States

Dexcom

Dexcom kontinuierliche Gewebezuckermessung (CGM) - Entdecken Sie die intelligente und einfache kontinuierliche Gewebezuckermessung. Entwickelt, um Menschen mit Diabetes zu helfen, ihren Gewebezuckerspiegel auf einfache Weise zu überwachen....

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The Company

Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health.

 

We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us.

Meet the team:
 

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, Regulatory Affairs and Clinical Affairs to provide best-in-class data analysis that drives innovation and regulatory submission of our current and next generation products.

You will be working with our biostatistics and data management teams closely who manage and analyze raw data from our global clinical trials to drive better clinical research, development and validation activities.

Where you come in:

  • Use techniques from statistical analysis to build knowledge of Dexcom clinical trials, clinical sites, next generation products and measurement technologies
  • Apply advanced techniques in measurement techniques in support of Advanced Research and Development products
  • Support stakeholders across R&D, Clinical Affairs, and Regulatory Affairs with insights into clinical trial data analysis for submission to regulatory authorities
  • Work with the biostatistics and data management team to clean and interpret raw data into analysis-ready data sets for submission.
  • 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 Regulatory Affairs on product performance and clinical trial design and measurement methodologies
  • Serve as a resource for the biostatistics team and Clinical Scientists in clinical trial design and analysis of diabetes device data.
  • Evaluate published regulatory guidance as it applies to data analysis and clinical study design to apply inform Dexcom’s next generation products and technologies

What makes you successful:

  • Experience working with human clinical trial data and clinical protocols
  • Advanced knowledge or experience of statistical methods
  • Advanced knowledge or experience with algorithms and the mathematical methods used to inform automated insulin delivery systems
  • Advanced knowledge of multiple analytical measurement technique
  • 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 track record to translate complex methodologies and analytical results to business insights

Preferred Qualifications:

  • Experience working with JMP, MATLAB, Python, or advanced analysis software
  • Experience performing or evaluating analyses for regulated medical devices.
  • Experience with statistical inference, data mining, pattern recognition or machine learning.
  • Experience with advanced analytic and algorithm techniques for medical device performance characterization from clinical trial data including.
  • 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.
  • Experience in continuous glucose monitoring and related data.

What you’ll get:

  • A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community.
  • A full and comprehensive benefits program.
  • 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.

Travel Required:

  • 15-25%

Experience and Education Requirements:

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

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. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. 

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. 

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. 

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

Meritain, an Aetna Company, creates and publishes the Machine-Readable Files on behalf of Dexcom. To link to the Machine-Readable Files, please click on the URL provided:  https://health1.meritain.com/app/public/#/one/insurerCode=MERITAIN_I&brandCode=MERITAINOVER/machine-readable-transparency-in-coverage?reportingEntityType=TPA_19874&lock=true

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.
 

Salary:

$141,800.00 - $236,400.00
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Tags: Biostatistics Data analysis Data management Data Mining Machine Learning Matlab PhD Python R R&D Research Statistics

Perks/benefits: Career development Health care Startup environment Transparency

Regions: Remote/Anywhere North America
Country: United States

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