Staff Applied Scientist

Alto Pharmacy; York (York County); Remote; USD 220,000 - 250,000; Full time

Job summary

A leading company in the healthcare sector is seeking an Applied Scientist in Data Science & Analytics. This fully remote position requires expertise in NLP and machine learning, aiming to enhance prescription processing efficiency while ensuring patient safety standards. The role involves collaboration with various stakeholders and mentorship of junior team members, making it vital to the company's mission of transforming pharmacy practices.

Benefits

Medical benefits

Dental and Vision coverage

401(k) plan

Generous PTO and parental leave

Qualifications

• 12 years of experience in a relevant role.
• Demonstrated experience developing ML models with business impact.
• Strong communication skills to inform non-technical stakeholders.

Responsibilities

• Design and maintain machine learning solutions leveraging NLP and reinforcement learning.
• Collaborate with cross-functional teams to meet business needs.
• Mentor less experienced scientists and contribute to best practices.

Skills

NLP

Reinforcement Learning

Large Language Models

Python

SQL

Analytical Thinking

Education

Master's degree in a quantitative field

PhD in a quantitative field (Preferred)

Tools

scikit-learn

XGBoost

Keras/Tensorflow

Cloud platforms (AWS, Google Cloud, Azure)

Job description

Job Summary

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.

Job Description

Accelerate Your Career as You

• 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.

A Bit About You

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.

• 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

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

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 exposure to low temperatures or high temperatures, outdoor elements such as precipitation and wind, and noisy environments.

• Physical Activities:

  • Occasionally ascending or descending stairs, ramps and the like.

  • Moving about to accomplish tasks and/or moving from one worksite to another.

  • Adjusting or moving objects up to 20 pounds in all directions.

  • Operating motor vehicles.

  • Occasional sedentary work that primarily involves sitting/standing/driving/flying

Salary and Benefits

Salary Range: $220,000 - $250,000

Commission Eligible: No

Equity Eligible: Yes

Travel: Yes - Required up to 10% of the time. Leadership or DSA Offsites.

This job is fully remote

Employment Requirement: Applicants must be authorized to work for any employer in the U.S. At this time, Alto is unable to sponsor or take over sponsorship of an employment Visa.

Location Requirement: Employment at Alto is limited to individuals residing in the following states: California, Arizona, Colorado, Arkansas, Nevada, Florida, New York, Kansas, Texas, Maryland, Washington (WA), Missouri, New Jersey, North Carolina, Oregon, Pennsylvania, South Carolina, Tennessee, Wisconsin

Benefits: Full-time: Medical, Dental, Vision, 401(k), Group Life, AD&D, Employer paid STD/LTD, generous PTO and parental leave.

Application Deadline: June 15, 2025

#LI-remote

Alto Pharmacy is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, sexual orientation, age, disability, veteran status, or any other legally protected basis. If you have a disability and require reasonable accommodation during any portion of the application or hiring process, please contact us at [e-mail] .

Alto Pharmacy considers qualified applicants with arrest or conviction records for employment and conducts background checks consistent with applicable law, including the California, Los Angeles County, San Francisco, and New York City Fair Chance laws. We are an E-Verify participating company.

To learn about Alto's privacy practices including compliance with applicable privacy laws, pleaseclick here .

About Us

Alto Pharmacy is a full-service, digitally-powered pharmacy that makes it simple to live your healthiest life by providing an easier, more supportive and more affordable pharmacy experience. We’re redefining what a pharmacy can do, with fast and reliable prescription delivery, tools like medication bundling, direct access to care specialists, and support with insurance and cost savings. By focusing on the person behind the prescription, our model boosts adherence, improves health outcomes, and keeps our customers returning month after month.