Senior Data Scientist

Austin, TX, United States

Who We Are:

At the intersection of health plans and providers, Apixio is creating a leading Connected Care platform to minimize reimbursement inaccuracies and high-quality patient care so they can thrive as the industry moves toward value-based reimbursement models.

The combination brings together healthcare expertise, AI/machine learning technology and data-driven analytics solutions to deliver innovative solutions and value to our customers and the healthcare ecosystem. We aim to accelerate the shift toward alternative payment models, while enhancing efficiency and supporting better patient outcomes.

About the Role:

We are changing the way healthcare uses data. About 80% of healthcare data is under-used because it is too messy or unstructured to analyze. The healthcare industry needs technology solutions that can process this data and extract insights. This is the challenge that Apixio addresses.

Apixio augments the ability to decipher and understand patient information. This translates into better care delivery, lower costs, and streamlined processes. We process millions of patients every year and we’re growing not only in the number of patients but also the kind of data we analyze. Come help us improve healthcare with technology!

We are looking for a motivated data scientist to both improve our industry leading algorithms in risk adjustment and help us evolve our product offerings into new market segments. This is a critical role where the right candidate will have the ability to lead the way in developing novel models that solve a wide range of problems in the healthcare industry. High achievers in this role have the opportunity to increase efficiency of the healthcare system, assist physicians in their practices, and touch the lives of millions of patients.

Qualifications:

Advanced degree in computer science, data science, statistics, or a related field, or equivalent work experience.

4+ years of experience with data science and machine learning in an industry setting.

4+ years experience with Python.

Experience designing and building NLP models for tasks such as classification, named-entity recognition, and dependency parsing.

Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc.

Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow.

Demonstrated ability to drive results in a team environment and contribute to team decision-making in the face of ambiguity.

Bonus Experience (not required, but useful at Apixio; in order of importance):

Experience with document layout analysis (using vision, NLP, or both).

Experience with Spark (either Scala or PySpark API).

Experience with Databricks.

Experience in the healthcare industry.

Responsibilities:

Play a key role in the success of our products by developing models for NLP tasks.

Perform error analysis, data cleaning, and other related tasks to improve models.

Collaborate with your team by making recommendations for the development roadmap of a capability.

Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines.

Understand product use-cases and define key performance metrics for models according to business requirements.

Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.).

After 3 Months, You Will…

Have a strong grasp of technologies upon which our platform is built.

Be fully integrated into ongoing model development efforts with your team.

After 1 Year, You Will…

Be independent in reading literature and doing research to develop models for new and existing products.

Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed.

Be a subject matter expert on Apixio’s models and a source from which other teams can seek information and recommendations.

The salary range below is for Base Salary.  Total compensation also includes benefits and variable compensation.  Compensation will be determined based on several factors including, but not limited to, skill set, years of experience, and the employee’s geographic location. Base Compensation $144,000—$176,000 USD We recognize that people come with experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please consider applying. Diversity of experience and skills combined with passion is a key to innovation and excellence. Therefore, we encourage people from all backgrounds to apply to our positions. Your skills and background may be more translatable to this role than you initially thought.  Allow us the opportunity to get to know you.  Please let us know if you require accommodations during the interview process.

What Apixio can offer you:

Meaningful work to advance healthcare

Competitive compensation

Exceptional benefits, including medical, dental and vision, FSA

401k with company matching up to 4%

Generous vacation policy

Remote-first & hybrid work philosophies

A hybrid work schedule (2 days in office & 3 days work from home) ( Note: If the position is designated as REMOTE it will stay REMOTE )

Modern open office in beautiful San Mateo, CA; Los Angeles, CA; San Diego, CA; Austin, TX and Dallas, TX

Subsidized gym membership

Catered, free lunches

Parties, picnics, and wine-downs

Free parking

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We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

Notice to Recruiters/Staffing Agencies

Recruiters and staffing agencies should not contact Apixio through this page. All recruitment vendors (search firms, recruitment agencies, and staffing companies) are prohibited from contacting our hiring manager(s), executive team members, or employees

We require that all recruiters and staffing agencies have a fully executed, formal written agreement on file

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