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Lead Data Scientist - Remote

Company: Danaher Corporation
Location: Houston
Posted on: May 5, 2021

Job Description:

Wondering what's within Danaher's Diagnostics Platform? Take a closer look. Join a team where you can be heard, be supported, and always be yourself! At DH Diagnostics, a Danaher company, we're building a culture that celebrates backgrounds, experiences, and perspectives of all our associates. We are dedicated to advancing and optimizing the laboratory to move science and health care forward for more than 80 years. Build relevant career, be creative, and try new things with the support needed to be successful. Find the Danaher Business System (https://www.danaher.com/how-we-work/danaher-business-system) , which makes everything possible. Our work helps improve millions of lives. What's found here - and within yourself - might just change the world! The Danaher Diagnostics Sepsis initiative was formed in 2017 with the aim to move the needle on sepsis and reduce mortality globally by bringing innovative technology solutions to market. The team is composed of individuals from the Danaher Diagnostic platform, Beckman Coulter, Cepheid, and Radiometer operating companies (OpCos) who work together on sepsis solutions. Building from the success of the Sepsis initiative thus far, Danaher Diagnostics is creating a data analytics and science team to generate novel insights and real world evidence (RWE) from real world data (RWD) that contain lab results generated by our instruments linked to patient medical records. This role is responsible for statistical analysis related to our RWD/RWE, drive technical execution, and help us create a best-in-class data science capability. You will work with various key individuals both inside and outside the organization to execute on our research initiatives. If you are independent, self-motivated, and thrive in a goal-oriented and complex work environment - read on. This role has the opportunity to + Collaborate with clinicians, researchers, biostatisticians, product managers, and engineers to define and clarify scientific research questions, develop statistical analysis plans, and help ensure data quality standards for observational research studies + Develop innovative solutions and approaches to turn raw data from various sources (EHR, DHR instruments) into novel insights. + Implement cutting-edge approaches for analyses and interpretation of large-scale proprietary and publicly available medical data. + Engage with and cultivate support from broad community of stakeholders, ranging from detailed technical reports to high-level executive summaries. + Develop visual analytics to enable self-service applications + Provide clear technical input, options, and directions to strategic decisions for research data strategy and best practices for real-world data utilization + Provide mentorship and training across the research organization toward novel approaches for statistical modeling, data mining, and/or machine learning The essential requirements of the job include: + Bachelor's degree or significant industry experience in a relevant field, such as Computer Science, Computational Biology, Statistics, etc. and 15 years of demonstrable research record as a data scientist analyzing large (1TB+) clinical healthcare data, including patient records from the EMR and lab results OR Master's degree and 12+ years or Doctoral degree and 9+ years of same + Expertise in data science tools and languages such as Python and/or R, Linux, and version control + Knowledgeable of clinical data standards and data models most commonly used by the healthcare industry It would be a plus if you also possess experience with: + Graduate-level degree or Doctorate + Large data sets (1TB+) setting up clinical protocols to collect RWD and generating RWE from RWD + Bioinformatics research using DNAnexus platform, including app and workflow development + Tools (e.g., Hadoop, Spark) and platforms (e.g., AWS, Azure) for large scale analytics. Machine learning tools and packages (e.g., TensorFlow, Keras). Controlled-access data from public repositories, such as MIMIC-III, TCGA and the UK BioBank. We offer a broad array of comprehensive, competitive benefit programs that add value to associates' lives and add to life beyond the job. Check out our benefits at danaherbenefitsinfo.com. We're driven by a sense of wonder for what we can create-and what we can become. Careers are accelerated while driving innovation that improves lives. Work hard and try new things, with guidance from committed leaders, powerful DBS tools, and the support of a global organization. As part of the Danaher family's 67,000 associates across the globe, the possibilities for growth and development are unparalleled. We believe that creativity and innovation thrive when the most diverse set of voices are heard, and that's why we're taking concrete steps to ensure that we're fostering an inclusive and engaging workplace. To learn more, read from our associates on our Careers Blog (https://jobs.danaher.com/global/en/blog) or contact one of our recruiters. Danaher Corporation and all Danaher Companies are equal opportunity employers that evaluate qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The "EEO is the Law" poster is available here (http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) . Danaher Corporation and all Danaher Companies are equal opportunity employers that evaluate qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The "EEO is the Law" poster is available here (http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) . Operating Company: Cepheid

Keywords: Danaher Corporation, Houston , Lead Data Scientist - Remote, Other , Houston, Texas

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