Senior Data Scientist San Francisco or Remote

Seibold GmbH; San Francisco (CA); Remote; USD 90,000 - 150,000; Full time

Job summary

Join a rapidly growing healthcare technology company dedicated to redefining patient care through innovative software solutions. This dynamic role offers the chance to work with large health datasets, develop predictive models, and collaborate with a passionate team of clinicians and engineers. You'll play a crucial part in improving patient outcomes while navigating the complexities of healthcare data. If you have a strong background in data science and a desire to make a difference, this is an exciting opportunity to shape the future of healthcare technology and drive impactful change.

Benefits

Dynamic work environment

Collaborative team culture

Growth opportunities

Health insurance

Remote work flexibility

Qualifications

• 5+ years of experience with healthcare data and predictive modeling.
• Ability to train Deep Learning models and deploy them in software.

Responsibilities

• Develop and deploy AI tools for medication management.
• Create reports and presentations for cross-functional teams.

Skills

Deep Learning

Python

AI Tools

Healthcare Data Analysis

Data Science

PyTorch

Keras

scikit-learn

pandas

Snowflake SQL

Education

Masters in Computer Science

PhD in Physical Sciences

Tools

AWS

Batch

Step Function

SageMaker

Job description

Based in San Francisco, Arine is a rapidly growing healthcare technology and clinical services company with a mission to ensure individuals receive the safest and most effective treatments for their unique and evolving healthcare needs.

Frequently, medications cause more harm than good. Incorrect drugs and doses cost the US healthcare system over $528 billion in waste, avoidable harm, and hospitalizations each year. Arine is redefining what excellent healthcare looks like by solving these issues through our software platform (SaaS). We combine cutting-edge data science, machine learning, AI, and deep clinical expertise to introduce a patient-centric view to medication management and develop and deliver personalized care plans on a massive scale for patients and their care teams.

Arine is committed to improving the lives and health of complex patients that have an outsized impact on healthcare costs and have traditionally been difficult to identify and address. These patients face numerous challenges including complicated prescribing issues across multiple medications and providers, medication challenges with many chronic diseases, and patient issues with access to care. Backed by leading healthcare investors and collaborating with top healthcare organizations and providers, we deliver recommendations and facilitate clinical interventions that lead to significant, measurable health improvements for patients and cost savings for customers.

Why is Arine a Great Place to Work?

• Market Opportunity: Arine is backed by leading healthcare investors and was founded to tackle one of the largest healthcare problems today. Non-optimized medication therapies cost the US 275,000 lives and $528 billion annually.
• Dramatic Growth: Arine is managing more than 18 million lives across prominent health plans after only 4 years in the market, ranked 236 on the 2024 Inc. 5000 list and named the 5th fastest-growing company in the AI category.
• Outstanding Team and Culture: Our shared mission unites and motivates us to do our best work. We have a relentless passion and commitment to the innovation required to be the market leader in medication intelligence.
• Making a Proven Difference in Healthcare: We are saving patient lives and enabling individuals to experience improved health outcomes, including significant reductions in hospitalizations and cost of care.

The Role:

This role will involve deriving insights from large, diverse real-world health datasets to support Arine's mission to improve patient outcomes and lower healthcare costs at scale. This is a dynamic role and an amazing opportunity to help shape the company from the ground up, with many growth opportunities. The Data Science team has very feature-rich, large volumes of medical claims datasets and works collaboratively and cross-functionally, including with an experienced team of in-house clinicians, health economics and outcomes researchers, engineers, and digital health entrepreneurs.

What You'll be Doing:

• 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 as well as to cross-functional stakeholders.
• Participate in critical reviews within the Data Science team on everything from methods used to implementation strategy and code.

Our Ideal Candidate Possesses:

• 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.
• Meaningful experience (5+ years) working with healthcare data (e.g., medical and pharmacy claims data).
• Experience with PyTorch or Keras, Python, scikit-learn, pandas, numpy, and Snowflake SQL.
• Experience working cross-functionally to define analyses objectives and deliver analytical results.
• Demonstrated ability to work independently, exercise good judgment, prioritize multiple projects, and problem-solve under tight deadlines and resource constraints.
• Excellent written, interpersonal communication and presentation skills, including the ability to present complex technical concepts in a clear, concise manner to audiences with varying levels of technical understanding.
• Bonus for experience deploying on AWS with relevant services: Batch, Step Function, SageMaker.

Travel and Other Information:

• For candidates local to the San Francisco Bay Area, the ability to commute to our office on Market Street in San Francisco at least 2-3 days/week.
• Ability to travel to Arine's San Francisco office at least twice per year.

Remote Work Requirements:

• An established private work area that ensures information privacy.
• A stable high-speed internet connection for remote work.

Joining Arine offers you a dynamic role and the opportunity to contribute to the company's growth and shape its future. You'll have unparalleled learning and growth prospects, collaborating closely with experienced Clinicians, Engineers, Software Architects, and Digital Health Entrepreneurs.

Job Requirements:

• Ability to pass a background check.
• Must live in and be eligible to work in the United States.

Information Security Roles and Responsibilities:

All staff at Arine are expected to be part of its Information Security Management Program and undergo periodic training on Information Security Awareness and HIPAA guidelines. Each user is responsible for maintaining a secure working environment and following all policies and procedures. Upon hire, each person is assigned and must complete trainings before access is granted for their specific role within Arine.

Arine is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace where all employees are treated with fairness and respect. 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 solely on qualifications, merit, and business needs. We encourage individuals from all backgrounds to apply and join us in our mission.

Check our website at https://www.arine.io. This is a unique opportunity to join a growing start-up revolutionizing the healthcare industry!

Note to Recruitment Agencies: We appreciate your interest in finding talent for Arine, but please be advised that we do not accept unsolicited resumes from recruitment agencies. All resumes submitted to Arine without a prior written agreement in place will be considered property of Arine, and no fee will be paid in the event of a hire. Thank you for your understanding.

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