Open Science Rigor & Reproducibility (Software Developer 2)

At Stanford Health Policy (SHP), our mission focuses on interdisciplinary innovation, discovery, and education to improve health policy.
To achieve this mission, we develop and apply cutting-edge methodology from statistics, machine learning, AI, decision science, and economics.
Embedding open science principles and reproducible workflows are essential to the robustness of these research endeavors.
We are seeking an Open Science Rigor & Reproducibility Software Developer 2 who will be based in SHP’s Health Policy Data Science Lab, which is led by Professor Sherri Rose.
The culture of the Health Policy Data Science Lab is inquisitive, collaborative, and inclusive so that team members can do their best work.
We have high standards for rigor, quality, and ethics and help each other learn to reach these objectives.
The Open Science Rigor & Reproducibility Software Developer 2 will be responsible for developing, implementing, modifying, maintaining, and documenting best practices for code review, reproducible software workflows, and open science programming.
They will execute programming tasks related to ongoing research in the Health Policy Data Science Lab to ensure reproducible findings and improve analyses, primarily in R.
This role will have substantial independence to propose and lead new initiatives related to open science and reproducible research as well as collaborate with other entities at Stanford University on synergistic open science and reproducible research activities relevant to the work of the Health Policy Data Science Lab.
The position is based in Stanford, California and is eligible for a hybrid or remote work arrangement.
Duties include: • Conceptualize design, implement, and develop solutions for complex system/programs independently.
• Work with a variety of users to gain information, and develop intra-system tradeoffs between different users, as necessary; interact with a diverse client base and outside vendor contacts.
• Document system builds and application configurations; maintain and update documentation as needed.
• Provide technical analysis, design, development, conversion, and implementation work.
• Work as a project leader, as needed, for projects of moderate complexity.
• Serve as a technical resource for applications.
• Compare, evaluate, and implement new features and technologies, and integrate them into the computing environment.
• Follow team software development methodology.
• Mentor lower level software developers.
* - Other duties may also be assigned This role is open to candidates anywhere in the United States.
Stanford University has five Regional Pay Structures.
The compensation for this position will be based on the location of the successful candidate.
The expected pay range for this position is $97,000 to $161,000 per annum.
Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position.
The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package.
The Cardinal at Work website (https://cardinalatwork.
stanford.
edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees.
Specifics about the rewards package for this position may be discussed during the hiring process.
DESIRED QUALIFICATIONS: • PhD in a computational discipline, interpreted broadly, or a combination of education and relevant experience.
• Experience with advanced methods in statistics, machine learning, AI, and decision science, or ability to learn them swiftly.
• Experience with R and Python, or one of these programming languages and the ability to learn the other swiftly.
• Experience with PHI/PII health data.
• Experience collaborating with computational and health scientists to evaluate, apply, and improve statistical analyses.
• Background in statistics applicable to health research.
• Familiarity with public health, health policy, or biomedical research.
• Excellent writing skills and ability to create precise documentation.
• Ability to develop project plans and complete projects by a set deadline.
EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and five years of relevant experience, or a combination of education and relevant experience.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Expertise in designing, developing, testing, and deploying applications.
• Proficiency with application design and data modeling.
• Ability to define and solve logical problems for highly technical applications.
• Strong communication skills with both technical and non-technical clients.
• Ability to lead activities on structured team development projects.
• Ability to select, adapt, and effectively use a variety of programming methods.
• Knowledge of application domain.
CERTIFICATIONS & LICENSES: None PHYSICAL REQUIREMENTS*: • Constantly perform desk-based computer tasks.
• Frequently sit, grasp lightly/fine manipulation.
• Occasionally stand/walk, writing by hand.
• Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds.
* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
WORKING CONDITIONS: May work extended hours, evening and weekends.