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Data Scientist, Data Lake at Topcon Healthcare

Remote: 
Full Remote
Contract: 
Salary: 
70 - 110K yearly
Experience: 
Mid-level (2-5 years)
Work from: 
United Arab Emirates, California (USA), United States

Offer summary

Qualifications:

BSc or MSc in relevant fields, 2 years experience in clinical science or algorithms, Preferred experience in the ophthalmic industry, Expertise with Python, R, Matlab recommended, Familiarity with SQL and cloud applications.

Key responsabilities:

  • Design data cleaning workflows for datasets
  • Maintain data preprocessing to standardize data
  • Create curated datasets from diverse sources
  • Manage data labeling projects for high quality data
  • Collaborate with various stakeholders on data challenges
Topcon Healthcare logo
Topcon Healthcare SME https://www.topconhealthcare.com
51 - 200 Employees
See more Topcon Healthcare offers

Job description

For over 90 years, Topcon’s vision has been to solve societal challenges around the globe. In healthcare, we are developing innovations that improve patients’ health and quality of life. 

We empower eye care providers with advanced imaging, diagnostic solutions, and intelligent data technology. Our robotic devices deliver simplicity without compromise, by capturing clear images with the push of a button. 

By joining Topcon Healthcare, you become part of a growing, diverse, global team. With office locations throughout North America, whether you are on-site, remote, or hybrid, our culture empowers you to contribute to company and personal success each day. At Topcon Healthcare, you can grow your career, gain new perspectives, and help address society’s most pressing challenges.  If you have drive, passion, and a desire to be part of a collaborative team, we want to hear from you.

At Topcon Healthcare, we don’t wait for the future. We invent it. Join us.

Learn more about working with us at topconcareers.com

THI is seeking a mission-driven a Data Scientist, Data Lake specialized in data cleaning, curation, and labeling. This role will play a critical role in ensuring the quality and usability of ophthalmic data for machine learning and other analytics initiatives. This individual will be responsible for developing and implementing data cleaning and preprocessing pipelines, curating datasets for specific use cases, and executing data labeling efforts.

Main Responsibilities:

Data Cleaning and Preprocessing:

  • Design and implement robust data cleaning processes to identify and address missing values, outliers, inconsistencies, and errors in datasets.
  • Develop and maintain data preprocessing pipelines to standardize, transform, and normalize data.
  • Utilize statistical and machine learning techniques to identify and correct data quality issues.

Data Curation and Labelling:

  • Select, extract, and organize relevant data from diverse sources to create curated datasets tailored to specific use cases.
  • Ensure data consistency, integrity, and documentation throughout the curation process.
  • Design and manage data labeling projects to generate high-quality labeled data.
  • Implement quality control measures to ensure the accuracy and consistency of labeled data.
  • Develop and maintain tools and scripts for automating data cleaning, curation, and labeling tasks.

Collaboration and Communication:

  • Collaborate with clinical scientists, data engineers, ML engineers, and domain experts to understand data needs and challenges.
  • Clearly communicate data quality findings and recommendations to stakeholders.
  • Stay up to date on the latest techniques and tools in data cleaning, curation, and labeling.

Qualifications:

  • BSc or MSc in Life Sciences, Bioinformatics, Biostatistics, Computer or Data Science
  • 2 years’ experience doing clinical science or developing data-driven algorithms for medical devices.
  • Experience in the ophthalmic industry is preferred, and experience with OCT data is highly preferred.
  • Ability to work independently, be self-motivated, set priorities, and handle multiple tasks and projects with a high degree of efficiency and comfort with ambiguity.
  • Expertise with statistical packages such as Python or R is highly desirable.
  • Expertise with Matlab, IDL, or similar packages is highly desirable.
  • Proficiency in using query languages such as SQL.
  • Experience with cloud computing applications (such as AWS or Azure)
  • A passion for leveraging data to improve patient care and drive innovation

Base Pay:

Expected Base Pay Range: $70,000 to $110,000 Annualized

The base pay range included is a projected hiring range for a position, level and potential work location(s) listed.  Topcon provides the compensation range that it in good faith believes it might pay and/or offer for this position. This compensation range is based on a full-time schedule.   

Benefits*:

Topcon offers a comprehensive benefit package for this position including medical, dental, vision, life insurance, disability insurance, tax saving spending accounts a 401(k) plan with employer match, tuition reimbursement in addition to other perks and benefits.  We also offer time off for our employees to recharge.  Our employees are eligible for paid company holidays, paid personal time off, and paid sick time that meets or exceeds state/local requirements. 

Topcon reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation; individual candidate compensation may be determined based on individual skills, experience, training, certifications, education, final work location and other factors not related to an applicant’s sex or other status protected by local, state, or federal law. Changes in the position level, location or other factors associated with the role may change the final determined compensation.  The recruiter can provide additional information during the hiring process.

*Topcon time off policies can vary between roles which are exempt or non-exempt.  For hourly (“non-exempt”) employees, we offer personal paid time off which accrues in accordance with local standards.  For salaried (“exempt”) employees, we offer a flexible paid time off policy giving you flexibility to take time when needed, while supporting business needs.  All paid time off policies are in accordance with or exceeding local law.  Employees working at least 30 hours per week are eligible for our Health and Welfare benefit package.

EEO Statement:

We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Verbal Communication Skills
  • Collaboration
  • Time Management

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