Job Description
JOB DESCRIPTION:
About Lingo
Meet Lingo, a new biosensing technology that provides users a window into their body. Lingo tracks key biomarkers - such as glucose, ketones, and lactate - to help people make better decisions about their health and nutrition. The next-generation Biowearables with cutting edge technology enable individuals to make decisions about how to improve energy, lose weight or enhance athletic performance. The Lingo team embodies a start-up culture and mindset with the backing of Abbott, a company with a rich history of healthcare innovation.
The opportunity
We currently have a career opportunity in the role of Senior Staff Data Scientist at Lingo headquarter in Alameda, CA (San Francisco Bay Area). This highly visible role, as part of the Lingo Clinical and Medical Affairs team, will help build the next-generation Biowearables focusing on a wide range of activities including sensor data analytics, signal processing algorithm development, clinical data science, predictive model development and etc.
What you'll do
• Analyze biological data collected from integrated consumer and/or medical biowearable sensor systems, draw insights, and present results in a cohesive, intuitive, and simple manner to functional stakeholders.
• Analyze and manage large amounts of structured and/or unstructured data to discover trends and patterns, and build analytics models. Apply visualization, analytical and data mining techniques.
• Examine data sets and determine the best end-to-end analysis plan to address key business questions and proactively identifies opportunities for significant operational, process or system level product improvements.
• Conduct advanced statistical analysis to determine trends and significant data relationships. ANOVA, PCA, scenario, regression, modeling, forecasting and etc.
• Design and develop signal processing algorithm for the biological signal feature detection and metrics calculation. Generate clinical evidence to support Consumer App design and product launch.
• Develop data and model pipelines with tools like Azure ML SDK, Azure Data Factory, Databricks, Spark, or related technologies
• Develop machine learning models to solve clustering, classification, regression, simulation, and optimization problems on large-scale data sets.
• Develop predictive models using machine learning and similar advanced tools to design, prototype, and build next-generation advanced analytics engines and services, which ultimately optimizes customer experience and increases business outcomes.
• Work closely with the functional stakeholders to understand the domain and iteratively refine analyses. Drive business solution with data analytics results.
• Work on team with doctors, scientists and engineers to prepare scientific conference presentations and publications.
Qualifications:
• 8+ years of relevant experience in the biological data analytics/science in a relevant industrial or academic setting. Data analytical experience in Continuous Glucose Monitoring is a plus.
• Advanced degree in biomedical, bioengineering, data science, or relevant, is preferred.
• Possesses a deep understanding of data science methodologies and concepts.
• Excellent skills and deep knowledge in Python and object-oriented programming is a must, including common Python libraries.
• Strong hands-on experience and expertise in large-set data analysis.
• Proficient with Statistical analysis. Expertise in R, JMP or similar stats tools.
• Excellent skills in tools like Azure ML SDK, Azure Data Factory, Databricks, Spark, or related technologies.
• Experienced in database design and architecture principles and strong SQL abilities.
• Strong problem-solving and critical thinking skills. Capable of independently driving issues to resolution. A high degree of curiosity and creativity.
• Excellent communication, presentation and organizational skills.
The salary for this role is between:
$118,100 - $236,100
JOB FAMILY:
Research and Discovery
DIVISION:
CHMN Office of the Chairman
LOCATION:
United States > Alameda : 1360-1380 South Loop Road
ADDITIONAL LOCATIONS:
WORK SHIFT:
Standard
TRAVEL:
Yes, 25 % of the Time
MEDICAL SURVEILLANCE:
Not Applicable
SIGNIFICANT WORK ACTIVITIES:
Awkward/forceful/repetitive (arms above shoulder, bent wrists), Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)
Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.
EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf
EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf
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Date Posted
03/08/2023
Views
6
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