Job details
Salary up to $40,000 a year job type full-time part-time internship number of hires for this role 1
Qualifications
Sql: 1 year (required)
Data warehouse: 1 year (required)
Bachelor`s (preferred)
Full job description
Department overview
We are developing some of the first ai-powered algorithms to transform care for pregnant women at risk for adverse outcomesThere are multiple events around the time of delivery that can affect the outcome and experience for both the mother and infantOur lab is focused on creating critical cutting-edge future-forecasting and vitals-management algorithms to improve patient safety, predict and prevent adverse pregnancy outcomes.
Job description
We are looking for a responsible, motivated, and self-directed big data engineer to oversee the continued development of our backend data processing system (a part of our automated research environment facilitate machine learning research)This system houses billions of data points across hundreds of thousands of patientsIf you are interested in the translation of medical data to artificial intelligence tasks, have experience with etl processes and cloud scalable technologies (kubernetes, docker, sqs, s3, dbs), you may be a good fit for this positionThe big data engineer will oversee data pulls, data validation, maintenance and continued development of pythonic apis and modules for dataset creation, and components for automated analysisInterest in natural language processing (nlp) and machine learning is a plusAttention to detail, high integrity and excellent communication skills are a must.
Minimum qualifications
3-4 years experience with
* python3
* big data pipelines and databases including postgresql, mongodb, and mysql.
* etl procedures.
* aws cloud environment and/or similar interfaces (sqs, s3, lambda).
* managing ubuntu and redhat linux images.
* docker and kubernetes.
Responsibilities
* perform data pulls from text files and remote databases using in-house tools and extract relevant data into atomized records.
* design and develop a dockerized, scalable environment to manage the storage and retrieval of these data.
* perform manual queries using sql/python to collect and analyze large amounts of data.
* perform data validation and cleaning of different parameters within medical records to prepare data for machine learning tasks.
* build a python api for efficient query of the database, and for the easy creation of machine learning datasets.
* perform automation of test cases using python.
Job types: full-time, part-time, internship
Pay: up to $40,000.00 per year
Benefits:
401(k)
Dental insurance
Employee assistance program
Employee discount
Flexible schedule
Flexible spending account
Health insurance
Health savings account
Paid time off
Vision insurance
Schedule:
8 hour shift
Education:
Bachelor`s (preferred)
Experience:
Sql: 1 year (required)
Data warehouse: 1 year (required)
Work location:
Fully remote
Work location: remote
