Staff Algorithm Engineer / Data Scientist

Description

WARNING about fake job posting scams. There has been a recent wave of scams whereby third parties post fake job openings using a bogus email address that resembles xxxx@biolinq.com.  Under the guise of asking you to fill out an application, the scammers are attempting to gather your personal information.  See the Federal Trade Commission’s warning on this topic at:  https://consumer.ftc.gov/articles/job-scams

The only official source for actual Biolinq job postings/openings is at www.biolinq.com/careers.  While other job sites (such as LinkedIn, Indeed or Glassdoor) may pull from Biolinq’s careers web page, you should visit www.biolinq.com/careers to verify the accuracy of the openings found on third party web sites.  

About the Company

Biolinq is a venture-backed digital health company developing a wearable biosensor platform that measures biomarkers important to the management of many clinical conditions including diabetes. This dynamic role is a part of a team of engineers and scientists developing a novel intradermal biosensor technology and the associated software data extraction and rendering SDK that will transform the way people manage their metabolic health. 

Job Purpose

 This is a dynamic role as part of a team of engineers and scientists developing a novel intradermal biosensor technology. This highly visible role within the Company will work with a cross-functional team of scientists and engineers and will be responsible for bench and clinical data analysis, algorithm development, and supporting planning, execution, and post clinical study activities.  

Duties and Responsibilities

•  Algorithm development for Continuous Glucose Monitoring system and other analytes 
• Develop signal processing algorithms for signal noise reduction and fault detection 
• Analysis of data collected during the course of clinical trials to assess performance of Bioling sensors and help with root-cause analyses 
• Implementing statistical analyses of data sets acquired in the clinical setting to assess safety, efficacy, and accuracy 
• Processing large datasets using state of the art methods
• Assisting with preparation of reports or presentations to fulfil business or regulatory needs 
• Other tasks as assigned

Requirements

Qualifications

•  Master’s degree and 8 years of experience required. PhD degree preferred. 
• Scientific or Engineering discipline required. 
• Minimum of 5 years’ experience in signal processing, time series data analysis and   algorithm development, preferably in a medical device setting
• Experience with advanced data analysis tools and methods; demonstrated understanding of statistics and statistical analysis of data 
• Must be capable of supporting projects independently without supervision 
• Experience with advanced computing languages such as Python, R, or Matlab 
• Experience with machine learning and data mining methods 
• Ability to interface with both clinicians and R&D team and work in a fast-paced,   multi-disciplinary environment 
• Capacity to manage multiple projects and communicate ideas clearly to the team;   excellent written and verbal communication skills

Working Conditions

 General office and laboratory.  

Physical Requirements

 While performing the duties of   this job, the employee is regularly required to stand; walk; sit; use hands to handle or feel; reach with hands and arms; climb or balance; stoop, kneel, crouch, see, talk or hear in a standard office environment. Employee may occasionally lift/or move up to 15 pounds.

BENEFITS

Medical, dental, vision, health savings account, flexible spending account, life and long-term disability insurance, 401(k) plan, holidays, and PTO. 

At Biolinq we fully subscribe to the principles of Equal Employment Opportunity. It is our policy to provide employment, compensation, and other benefits related to employment based on qualifications, without regard to race, color, religion, national origin, age, sex, veteran status, genetic information, disability, or any other basis prohibited by federal, state or local law. In accordance with requirements of the Americans with Disabilities Act and applicable federal, state and/or local laws, it is our policy to provide reasonable accommodation upon request during the application process to applicants in order that they may be given a full and fair opportunity to be considered f