Alto Pharmacy

Staff Applied Scientist

Texas, United States

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Retail Pharmacy, HealthcareIndustries

Applied Scientist, Machine Learning

Employment Type: Full time

Position Overview

To achieve our vision, we continue to invest in our Data Science & Analytics team to make a difference to our patients and providers. Our Data Science team collaborates closely with Product & Engineering to tackle the most challenging and impactful problems transforming retail pharmacy with a focus on prescription processing efficiency and dispensing accuracy. Applied Scientists are responsible for the full life cycle model development of ideation, prototyping, testing, deployment, and maintenance. Your expertise in NLP, reinforcement learning, and large language models will be critical in driving innovation and improving the efficiency and accuracy of our supply chain.

Responsibilities

  • Be a thought leader in the ML space and continue to identify opportunities to build intelligence and automate prescription processing while maintaining industry leading patient safety standards.
  • Design, develop, deploy, and maintain statistical and machine learning solutions leveraging NLP, generative AI, and reinforcement learning.
  • Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.
  • Collaborate closely with product managers, software engineers, data scientists, and pharmacists to deeply understand Alto’s business needs and create impactful ML applications.
  • Communicate complex technical concepts to non-technical stakeholders.
  • Mentor applied scientists & data scientists and contribute to the development of best practices within the Data Science team.

Requirements

Minimum Qualifications:

  • Master's degree in a quantitative field, such as Mathematics, Computer Science, Accounting, Engineering, or Economics.
  • 12 years or more of experience as an Applied Scientist, Data Scientist, Machine Learning Engineer, or similar role.
  • Demonstrated experience developing machine learning models with business impact, and shipping ML/AI solutions to production.
  • Demonstrated experience with NLP, LLMs, Generative AI, and/or Reinforcement Learning.
  • Strong programming background in Python, high level of proficiency in SQL and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.

Preferred Qualifications:

  • PhD in a quantitative field, such as Mathematics, Computer Science, Accounting, Engineering, or Economics.
  • Experience in healthcare or pharmaceutical industry.
  • Experience with supply chain optimization, marketplaces, or logistics.
  • Proficiency in using cloud platforms such as AWS, Google Cloud, or Azure leveraging toolkits such as Kubeflow.
  • Strong written and verbal communication skills with the ability to inform and influence a non-technical audience using insights found through complex technical concepts.
  • Strong analytical and critical thinking skills with a strong bias toward actionable insights; love finding insights and getting others to act on them.
  • Expertise using project management fundamentals and applying data-based prioritization and trade-off decision making.

Additional Information

Additional Physical Job Requirements:

  • Reading English, comprehending, and following simple oral and written instructions.
  • The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.
  • Assessing the accuracy, neatness and thoroughness of the work assigned.
  • Expressing or exchanging ideas by means of the spoken word; those activities where detailed or important spoken instructions must be conveyed to other workers accurately, loudly, or quickly.
  • Perceiving the nature of sounds at normal speaking levels with or without correction, and having the ability to receive detailed information through oral communication, and making fine discriminations in sound.
  • Frequent repeating motions required to operate a computer or phone that may include the wrists, hands and/or fingers.

Environmental Conditions:

  • Occasional expos

Skills

NLP
Reinforcement Learning
Large Language Models
Generative AI
Machine Learning
Statistical Modeling
Algorithm Refinement
Model Development
Model Deployment
Model Maintenance
Data Science
Machine Learning Engineering

Alto Pharmacy

Digital pharmacy offering same-day medication delivery

About Alto Pharmacy

Alto Pharmacy operates as a digital pharmacy that delivers medications directly to customers' homes on the same day. This service is designed for individuals who may not have the time to visit a traditional pharmacy. Customers can use the Alto app to consult with pharmacists about their medications, addressing any concerns they may have regarding side effects or other issues. Additionally, Alto Pharmacy helps customers save money by actively searching for coupons and discounts to provide medications at lower prices. Unlike many traditional pharmacies, Alto focuses on convenience and customer care, making it easier for people to manage their prescriptions. The company's goal is to enhance the pharmacy experience by combining fast delivery, accessible pharmacist support, and cost-saving options.

San Francisco, CaliforniaHeadquarters
2015Year Founded
$664.4MTotal Funding
CONVERTIBLECompany Stage
HealthcareIndustries
501-1,000Employees

Benefits

Generous time off
Comprehensive medical, dental, & vision plans
401k
Life & disability insurance
Parental leave
Equity

Risks

Amazon Pharmacy's expansion could increase competition for Alto.
The recent funding round at a lower valuation indicates a tough fundraising environment.
Contamination at Novo Nordisk's factory may disrupt Alto's diabetes medication supply.

Differentiation

Alto offers same-day delivery, enhancing convenience for busy individuals.
The company provides pharmacist consultations via an app, improving customer care.
Alto actively searches for cost-saving options, reducing medication expenses for customers.

Upsides

Alto's partnership with Cuban's Cost Plus expands access to medications.
The integration of telehealth services complements Alto's digital pharmacy model.
AI-powered medication management can enhance Alto's service offerings.

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