Data Science Engineer (Health)

Company: WorldLink, Inc.
Location: Mountain View
Posted on: September 23, 2024

Job Description:

Mountain View, United States - Posted on 09/12/2024WorldLink is a rapidly growing information technology company at the forefront of the tech transformation. From custom software development to cloud hosting, from big data to cognitive computing, we help companies harness and leverage today's most cutting-edge digital technologies to create value and grow.Collaborative. Respectful. Work hard, play hard. A place to dream and do. These are just a few words that describe what life is like at WorldLink. We embrace a culture of experimentation and constantly strive for improvement and learning.We take pride in our employees and their future with continued growth and career advancement. We put TEAM first. We are a competitive group that likes to win. We're grounded by humility and driven by ambition. We're passionate, and we love tough problems and new challenges. You don't hear a lot of "I don't know how" or "I can't" at WorldLink. If you are passionate about what you do and having fun while doing it; tired of rigid and strict work environments and would like to work in a non-bureaucratic startup cultural environment, WorldLink may be the place for you.We are looking for a Data Science Engineer (Health) with solid ML/AI technology background and digital health-related research project experiences in health data analytics, physiological signal processing, and multi-modality mobile sensing development. By leveraging smartphones, wearables, and hearables in the health/wellness domain, your work will significantly benefit real-world consumers, patients, the elderly, physicians, and caregivers.Our unique advantage in the consumer electronics market and growing focus on digital health will provide you with unprecedented large data sets and healthcare analytics challenges.The Digital Health Team collaborates with top hospitals, healthcare-industry partners, and universities to transform how healthcare is delivered and good health sustained. Using design thinking to address some of healthcare's toughest challenges, from improving care and producing better outcomes, to reducing costs and expanding access.Focusing on wearable, mobile, and cloud-based form factors, our multi-disciplinary team develops innovative technologies that we then turn into groundbreaking commercial products to support clinicians, patients, and consumers. Using advanced sensor technology to capture physiologic responses and make use of our AI/ML framework to build algorithms that detect and trigger alerts for specific health conditions. Employing data analytics to supplement clinical care and facilitate remote patient monitoring, thereby helping patients make behavioral changes that improve their health and daily lives.Our portfolio of digital health solutions are important tools in helping clinicians and their patients monitor and manage serious health conditions, such as cardiovascular disease, pulmonary disease, and cancer; as well as chronic illnesses including mental health, diabetes, hypertension, depression, sleep disorders, and obesity. Our work encompasses the entire range of processes, from ideating, developing, and incubating; to designing and delivering market-ready products; to supporting and evolving currently released products.Role and Responsibilities:

• Work with an agile team to innovate and develop disruptive digital health services and solutions.
• Develop innovative algorithms and biomarkers based on signal from an array of sensors and devices, data collected both in lab and field settings, and health data from consumers, and healthcare providers.
• Develop generalizable data analysis pipeline including data segmentation, alignment, cleaning, annotation, and pre-processing for biomarker prediction.
• Prepare proof-of-concept, demo/prototypes, and execute studies with mobile sensors.
• Client-server pipeline integration for PoC and demo app.
• Digital biomarker algorithm optimization for on-device (e.g., watch, buds) PoC.
• Develop server-side data processing framework to run the data analysis pipelines on big datasets.Required Experience and Education:
  • BS / MS / PhD in computer science / computer engineering / biomedical engineering / electrical engineering / Data Science / Machine Learning background with 2/3 years of work experience.
  • Solid coding skills with prototyping experience in data science and machine learning.
  • Signal processing for filtering noise, extracting meaningful patterns.
  • Programming in multiple programming languages such as Python, C++, Java, Android.
  • Strong knowledge of data analysis/processing software such as Matlab.
  • Experience with cloud infra services like AWS.Necessary Skills and Attributes:
    • Self-motivated individual with the ability to thrive in a team-based or independent environment.
    • Detail-oriented with strong organization skills.
    • Ability to work in a fast-paced environment.
    • Limited supervision and the exercise of discretion.
    • Good communication/presentation skills and teamwork spirit.Physical Demands:The physical demands described here are representative of those that must be met by contract employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.While performing the duties of this job, the contract employee is occasionally required to stand, clean, crawl, kneel, sit, sort, hold, squat, stoop, stand, twist the body, walk, use hands to finger, handle, or feel objects, tools or controls, reach with hands and arms, climb stairs or ladders and scaffolding, talk or hear, and lift up to 20 pounds. Specific vision abilities required by the job include ability to distinguish the nature of objects by using the eye. Operate a computer keyboard and view a video display terminal between 50% - 95% of work time, including prolonged periods of time. Requires considerable (90%+) work utilizing high visual acuity/detail, numeric/character distinction, and moderate hand/finger dexterity.Performs work under time schedules and stress which are normally periodic or cyclical, including time-sensitive deadlines, intellectual challenge, some language barriers, and project management deadlines. May require working additional time beyond normal schedule and periodic travel.WHAT we'll bring:During your interview process, our team can fill you in on all the details of our industry-competitive benefits and career development opportunities. A few highlights include:
      • Medical Plans
      • Vision Plan
      • Short-Term Disability
      • Long-Term Disability
      • Critical Illness/ Accident/ Hospital Indemnity/ Identity Theft Protection
      • 401(k)WHAT you should know:Our success begins and ends with our people. We embrace diverse perspectives and value unique human experiences. WorldLink is an Equal Employment Opportunity and Affirmative Action employer. All employment at WorldLink is decided on the basis of qualifications, merit, and business need. We endeavor to continue our footprint as a diverse organization by highlighting opportunities for all people. WorldLink considers applicants for all positions without regard to race, color, religion or belief, sex, (including pregnancy and gender identity), age, national origin, political affiliation, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. People with disabilities who need assistance with any part of the application process should contact us.This job description is designed to cover the main responsibilities and duties of the role but is not designed to be a comprehensive list of all.Salary/Pay Range: $62.00-90.00/hr (Depending on experience)
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Keywords: WorldLink, Inc., Mountain View , Data Science Engineer (Health), Healthcare , Mountain View, California