Modeling and Simulation Scientist, Population Health Impact

THE COMPANY:

Juul Labs's mission is to transition the world’s billion adult smokers away from combustible cigarettes, eliminate their use, and combat underage usage of our products. We have the opportunity to address one of the world’s most intractable challenges through a commitment to exceptional quality, research, design, and innovation. Backed by leading technology investors, we are committed to the same excellence when it comes to hiring great talent.

We are a diverse team that is united by this common purpose and we are hiring the world’s best engineers, scientists, designers, product managers, operations experts, and customer service and business professionals. If the opportunity to build your career is compelling, read on for more details.

ROLE AND RESPONSIBILITIES:

Population Health Impact Modeling at Juul Labs, Inc. means working with ambiguous questions, varied and messy data sets, and applying scientific and analytical methods to help inform and drive business, product, and policy decisions. We see ourselves as scientific investigators and output-focused problem solvers who value strong conceptual thinking and superb communication skills.

We are looking for a Modeling and Simulation Scientist who can join our team of multidisciplinary researchers working on the design, development, validation and implementation of an agent-based model of population health. The Modeling and Simulation Scientist will be responsible for leveraging health, behavioral, clinical, and preclinical research, and computational modeling techniques to develop long-term models to evaluate the impact of tobacco, electronic nicotine delivery system, and JUUL use on U.S. and international populations. The Modeling and Simulation Scientist will simulate population dynamics over time and summarize large-scale simulation model outputs in ways that are easy to understand, and will communicate methods and outputs with technical and nontechnical audiences in regulatory filings, white papers, and articles. In this role, the Modeling and Simulation Scientist will help to fundamentally deepen our understanding of the impact our products have on consumers and their health on a macro scale via applied research, modeling, analysis and results synthesis.

Key functions and responsibilities in this role include:

• Testing, evaluating, and implementing models in MATLAB;
• Generating, refining, and updating figures and tables summarizing model outputs in MATLAB, R and SAS;
• Writing technical reports describing model development, algorithms, inputs, and outputs using Microsoft Word and EndNote; and
• Writing journal articles, white papers, and presentations summarizing model development, implementation, and outputs using Microsoft Word (or TeX) and EndNote.

Deliverables that indicate success in this position include:

• Collaborating with a cross-functional team to test, evaluate, and implement models;
• Generating summaries of model outputs in a timely manner; and
• Meeting deadlines to deliver technical reports, journal articles, white papers, and presentations.

PERSONAL AND PROFESSIONAL QUALIFICATIONS:

Required qualifications:

• 4-years or more experience with data analysis, agent-based modeling, machine learning, or system dynamics modeling
• Demonstrated ability to understand and interpret simulation models and relevant outcomes
• Excellent statistical programming skills using MATLAB, SAS and/or R
• Excellent oral and written communication skills
• Experience with data visualization
• Demonstrated experience writing and publishing peer-reviewed publications or technical reports
• You get excited about taking ownership of problems and solving them in a fast-paced environment, working cross-functionally with both technical and nontechnical staff
• Output-focused and see data science as a powerful tool to get things done rather than as an end in and of itself

Preferred qualifications:

• Strong foundation in statistical and mathematical modeling, probability, statistics, and causal inference
• Experience using Google Cloud Platform products and services

EDUCATION:

M.S. or Ph.D. in a relevant scientific or quantitative field including, but not limited to, Statistics, Biostatistics, Mathematics, Epidemiology, Computer Science, Biomedical Science, Medical Engineering, or Economics.

JUUL LABS PERKS & BENEFITS:

• A place to grow your career. We’ll help you set big goals - and exceed them
• People. Work with talented, committed and supportive teammates
• Equity and performance bonuses. Every employee is a stakeholder in our success
• Cell phone subsidy, commuter benefits and discounts on JUUL products
• Excellent medical, dental and vision, disability, and life insurance, plus family support, wellness, legal, and employee assistance program benefits
• 401(k) plan with company matching
• Plus biannual discretionary performance bonuses

SALARY RANGES:
Salary varies by role, level and location, and is dependent on the cost of labor in a given
geographic region among other factors. These ranges may be modified at any time.

LOCATIONS:
Tier 1 Locations: Greater New York City, and San Francisco Bay Area
Tier 2 Locations: Greater Boston, Washington DC Metropolitan Area, Seattle/Tacoma,
Greater Sacramento, Southern California (Los Angeles/OC/San Diego, Riverside and Imperial counties)
Tier 3 Locations: Rest of New England, NY Capital District, Rest of New Jersey, Greater
Philadelphia, Pittsburgh, Delaware, Rest of Maryland, Rest of Virginia, North Carolina,
Atlanta, Miami-Fort Lauderdale-WPB, Chicagoland, Dallas, Houston, Austin,
Minneapolis/St. Paul, Colorado, Phoenix, Reno, Las Vegas, Reno, Carson City NV., Portland Ore./Vancouver

Wash., Rest of California, Hawaii

Tier 4 Locations: Rest of US including Alaska and Puerto Rico