Published: Mon, 25 Nov 2024 22:50:17 GMT
Position: Senior Data Scientist
Location: San Francisco, CA
Company Overview:
Arine is a fast-growing healthcare technology and clinical services company based in San Francisco. Our mission is to provide individuals with the safest and most effective treatments for their unique healthcare needs. Our software platform utilizes data science, machine learning, AI, and clinical expertise to improve medication management and develop personalized care plans for patients and their care teams.
Job Summary:
Arine is seeking a Senior Data Scientist to join our team and contribute to our mission of improving patient outcomes and reducing healthcare costs. In this role, you will work with large, real-world health datasets to support the development and deployment of advanced predictive models and AI tools for our medication management platform. This is a dynamic role with potential for growth within the company.
Why Work at Arine:
– Market Opportunity: Arine is backed by leading healthcare investors and is focused on tackling one of the largest healthcare problems today – non-optimized medication therapies.
– Dramatic Growth: After only 4 years in the market, Arine is managing more than 18 million lives and was ranked 236 on the 2024 Inc. 5000 list.
– Outstanding Team and Culture: Our shared mission and passion for innovation unite us and motivate us to do our best work.
– Making a Proven Difference in Healthcare: We are saving patient lives and improving health outcomes while reducing costs.
Key Responsibilities:
– Develop and deploy advanced predictive models and AI tools into Arine’s medication management platform
– Use advanced AI methods to assess the impact of Arine’s programs
– Create presentations and reports to communicate updates to the Data Science team and cross-functional stakeholders
– Collaborate with an experienced team of in-house clinicians, health economics and outcomes researchers, engineers, and digital health entrepreneurs
– Participate in critical reviews within the Data Science team on methods, implementation strategy, and code
Qualifications:
– Masters or PhD degree in Computer Science, Physical Sciences, or related field
– Demonstrated ability to train Deep Learning models using large datasets and deploy models into commercial software products
– 5+ years of experience working with healthcare data, such as medical and pharmacy claims data
– Proficiency in PyTorch or Keras, Python, scikit-learn, pandas, numpy, and Snowflake SQL
– Experience working cross-functionally and delivering analytical results
– Strong problem-solving skills and ability to prioritize and manage multiple projects under tight deadlines
– Excellent communication and presentation skills, with the ability to explain technical concepts to non-technical audiences
– Bonus for experience deploying on AWS with relevant services: Batch, Step Function, SageMaker
Travel and Remote Work:
– Ability to commute to our San Francisco office at least 2-3 days/week (for local candidates)
– Ability to travel to our San Francisco office at least twice per year
– Remote work requires a private work area and stable high-speed internet connection
Perks:
– Dynamic role with opportunities for learning and growth
– Collaboration with experienced professionals in the healthcare industry
– Competitive salary (range of $160,000-175,000/year) and comprehensive benefits package
Requirements:
– Ability to pass a background check
– Must be eligible to work in the United States
– Willingness to undergo periodic training on Information Security Awareness and HIPAA guidelines
Equal Opportunity Employer:
Arine is an equal opportunity employer and is committed to creating a diverse and inclusive workplace. We do not discriminate on the basis of race, ethnicity, color, religion, gender, sexual orientation, age, disability, or any other legally protected status. Our hiring decisions and employment practices are based on qualifications, merit, and business needs. We encourage individuals from all backgrounds to apply and join us in our mission.
To Apply:
Visit our website at https://www.arine.io to learn more about our company and submit your application. Please note that we do not accept unsolicited resumes from recruitment agencies without a prior written agreement in place. Thank you for your understanding. Apply link
