Being an Iodine employee means becoming part of something bigger - using clinical AI technology to drive smarter healthcare processes and positively impact patient care.

Who We Are

Recognized as one of Austin’s best places to work, we are a collaborative and dedicated team with innovation built into our DNA. Iodine is an enterprise AI company that is championing a radical rethink of how to create value for healthcare professionals, leaders, and their organizations - by automating complex clinical tasks, generating insights and empowering intelligent care. Powered by one of the largest sets of clinical data and use cases available, our groundbreaking clinical machine-learning engine, Cognitive ML, constantly ingests the patient record to generate real-time, highly focused, predictive insights that clinicians and hospital administrators can leverage to dramatically augment the management of care delivery.

What We're Looking For

Iodine thrives on innovation. We are looking for a Senior Data Scientist that will help us discover the information hidden in vast amounts of data. You will be joining a small team that is tackling many interesting healthcare problems using ML. Because we work on the cutting edge of a lot of technologies, we need someone who is a creative problem solver, resourceful in getting things done, and productive working independently or collaboratively. You will be accessing and shaping our enormous amount of data to help drive our future innovation.

What You'll Do

Work with a team of passionate data scientists to further the mission of Iodine and the Data Science team. Collaborate with teams, including both technical and business teams, from different functional areas to solve complex problems. Develop statistical and machine learning algorithms, named entity recognition/named entity linking models, inference rules, probabilistic models, simulation models, and visualizations for client pilots and scaled solutions. Lead multiple projects in parallel and assist other team members and conduct directed research and development in natural language processing and applied machine learning on healthcare datasets.

Present results and overviews to internal and external audiences and serve as a mentor to junior team members. Consult with business teams to provide guidance and capture feedback as required. Perform exploratory data analysis (EDA), data profiling, and data cleaning on a variety of datasets. Learn and identify data relationships across multiple contributing sources, developing and discovering direct and inferred data relationships where rules can be defined and consistently applied, and other strategies to optimize the efficiency and quality of the data being collected, normalized, and delivered. Acquire data from primary or secondary data sources to maintain data quality programs, and leverage these sources to identify and interpret trends or patterns in complex datasets. Create innovative frameworks and solutions for extracting value from client data.

What We'd Love To See

7+ years hands-on experience in machine learning, statistics, and data analysis
Ability to effectively communicate technical concepts to both technical and non-technical staff members
Self-motivated and self-directed, able to learn new technologies quickly and adapt to a rapidly changing environment
Proficiency in ML/Data Science languages and tools including Python (and packages including but not limited to Jupyter notebooks, pandas, numpy, scikit-learn, pytorch) and SQL
Proficiency in using SQL and noSQL databases, including PostgreSQL, ElasticSearch
Proficiency in NLP tools including, spaCy, nltk
Superb coding, scripting, and software engineering experience and skills
Master’s Degree or PhD strongly preferred in Computer Science, Statistics, Mathematics, Econometrics, Operations Research, Physics or a related field with a substantial research component and focus on data analysis
Ability to demonstrate proficiency in machine learning, statistics, data analysis. Must have an excellent knowledge of advanced methods, and experience in applying those methods to a variety of problems
Solid grasp of probability, statistical or mathematical modeling with analytical and quantitative problem-solving ability. Experience with healthcare data is strongly preferred.
Demonstrated experience in applying machine learning to real-world problems
Familiarity with software development cycles, version control systems (including Git), interacting with RESTful APIs, Mac and Linux platforms
Familiarity with ETL tools and processes
Familiarity with MLOps, model deployment, model monitoring, model versioning
Experience with improving model runtime performance and data query performance
Experience working in an agile team environment. Understanding of code promotion, code turnover to operations, version control, and QA procedures.
Conduct code walkthroughs, peer reviews, and produce technical documentation
Travel to and from company headquarters is required for mandatory onboarding and company meetings.

Desired Additional Experience/skills

Familiarity with big data and distributed/cloud computing technologies such as Apache Airflow, Kafka, Apache Spark, AWS platform data services
Knowledge of healthcare data space, including clinical data formats and workflows is strongly preferred
Experience with LLMs and GenAI applications
Very strong scripting and automation skills – you believe you can automate everything
Understand database platform layouts and configurations
Ability to efficiently balance multiple projects in a rapidly changing environment
Experience in a professional services environment with exposure to senior functional leaders

_Please note this position is not restricted solely to the responsibilities listed above and that the job scope and responsibilities are subject to change.

_What We Offer

Comprehensive Healthcare: Fully covered medical, vision, and dental benefits for employees, plus generous dependent coverage.
Telehealth Services: Convenient access to telehealth services tailored for remote work.
Savings Accounts: Tax-advantaged savings accounts for healthcare and dependent care expenses.
Ancillary Benefits: Life, AD&D, and disability insurance paid by Iodine for peace of mind.
Retirement Plan: Competitive 401(k) retirement plan with a considerable company match.
Extra Life Insurance: Optional additional life insurance coverage for you and your dependents.
Accident Insurance: Financial protection against unexpected accidents and critical health issues.
Critical Illness Insurance: Provides financial support for medical costs and living expenses during serious illness.
Hospital Indemnity Insurance: Additional support for hospital-related expenses through indemnity insurance.
Pet Insurance: Affordable options for discounted pet insurance.
Legal and Identity Protection: Legal and ID theft protection to safeguard personal information.
Employee Assistance: Confidential employee assistance program for personal and professional challenges.
Education Allowance: Annual funding for educational pursuits and continuing education to support professional development and skill enhancement.
Reimbursements: Annual reimbursement for eligible wellness expenses, monthly reimbursement for cell phone and WiFi costs, and a one-time equipment allowance for creating a comfortable home office.

Why should you join Iodine?

This is a unique opportunity to join a close-knit, rapidly growing team and help us improve a key piece of the organization. You will have the opportunity to drive smarter healthcare processes through technology, so hospitals can stay focused on patient care. You will join a passionate and ambitious team, with a proven record of success building multiple companies. Learn more about our company culture on Built In Austin and on our website at www.iodinesoftware.com.