Sr. Data Scientist

About AKASA

Our mission is to enable human health.

AKASA is the leading developer of AI for healthcare operations. Founded in 2019, AKASA has raised $85M in funding.

Our founding team includes Silicon Valley leaders who have founded or been founding team members of multiple companies with successful exits. Our investors include Andreessen Horowitz, BOND, and Costanoa Ventures, among others. Recognized in 2021 among Top 150 “Most Innovative Digital Health Startups” by CB Insights, Top 75 “Best Places to Work” by Modern Healthcare, Certified as a “Great Place to Work” two years in a row, and ranked #34 of Top 100 Healthcare Companies in 2021 by The Healthcare Technology Report. Learn more at www.AKASA.com.

We are building the future of healthcare with AI. Everyone is welcome — as an inclusive workplace, our employees are comfortable bringing their authentic selves to work.

Join us.

About The Role

AKASA is the preeminent provider of generative AI solutions for the healthcare revenue cycle, from prior authorization to claim management.

As a Senior Data Scientist at AKASA, you will deploy your deep domain knowledge of healthcare data and your expertise in statistical methodologies to conduct rigorous research leveraging complex proprietary medical and clinical datasets. You will deliver data assets that will be critical for communicating the impact of our products on key outcomes for health systems and will contribute to improving the results of our GenAI-based product offerings.

You will be positioned within the cross-functional Data Platform team and work in a deeply cross-functional and collaborative fashion across Engineering, Analytics, Machine Learning, Product, and Sales. You will support the analysis and development of our market-leading GenAI products designed to help our customers manage mission-critical medical billing for millions of patients.

AKASA is based in South San Francisco. As a company, we embraced remote work before COVID-19. We consider ourselves experts in working collaboratively wherever our team members happen to reside within the US.

What You'll Do

• Leverage causal inference and other statistical methodologies to assess the value and impact of our products on key outcomes for hospitals and providers using financial and other data sources
• Clearly communicate insights highlighting the impact of our product offering to a wide variety of stakeholders across the organization.
• Own the development of sophisticated healthcare algorithms and data assets that will improve not only our ability to communicate value to health systems but also our product offerings themselves.

Skills & Qualifications

• Ph.D. and 3+ years of experience or Master’s and 5-7 years of experience or Bachelor’s and 8+ years of experience in Data Science, Statistics, Economics, Public Health, Computer Science, or a related field
• 2-4 years experience specifically in the healthcare domain, working with EHR data, clinical data, claims data, or similar
• Proficiency in advanced statistical analysis and research design
• Proficiency in Python
• Proficiency in SQL
• Excellent communication skills, with the ability to communicate cross-functionally with a variety of stakeholders
• Highly self-sufficient and self-starting in solving complex problems and conducting projects end-to-end
• A passion and excitement about healthcare’s unique challenges and opportunities

Nice to Haves

• Experience in causal inference and/or econometrics
• Experience working with Data Warehouses
• Background in software development fundamentals and experience delivering software-based products

What We Offer

• Unlimited paid time off (PTO)
• Expansive coverage for health, dental, and vision
• Employer contribution to Health Savings Accounts (HSA)
• Generous parental leave policy
• Full employee coverage for life insurance
• Company-paid holidays
• 401(K) plan

Compensation

• Based on market data and other factors, the salary range for this position is $175,000-$205,000 + Equity. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

We’re committed to doing the best work of our lives, together. Come see if we're the right team for you.

AKASA is a proud equal opportunity employer and we believe that a diverse and inclusive workforce is an imperative. We welcome people of different backgrounds, genders, races, ethnicities, abilities, sexual orientations, and perspectives, just to name a few. We do not discriminate based upon any protected class and we encourage candidates of all identities and backgrounds to apply. AKASA considers qualified applicants regardless of criminal histories in accordance with the San Francisco Fair Chance Ordinance.

AKASA is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].