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Data Scientist (LTE)

Remote: 
Full Remote
Contract: 
Salary: 
4 - 109K yearly
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

4+ years data reporting experience, 4+ years R programming skills, 2+ years automating reports, 2+ years in data visualization, Advanced degree preferred.

Key responsabilities:

  • Develop automated data processing and reports
  • Maintain datasets and ensure data integrity
  • Create visualizations for various audiences
  • Provide training on report interpretation
  • Collaborate with internal teams on reporting
TRAILS logo
TRAILS Scaleup https://trailstowellness.org/
51 - 200 Employees
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Job description

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Your missions

THE ORGANIZATION

Founded at the University of Michigan Medical School, TRAILS (Transforming Research into Action to Improve the Lives of Students) is among the most innovative and rapidly-growing school-based mental health solutions in the country. After a decade in the academic setting, TRAILS spun out from the University in 2022 and became fiscally sponsored by Tides Center with approximately 35 staff. Within a year, our staff size had more than doubled. Today, our growing team is working toward the TRAILS mission of transforming the landscape of youth mental health care delivery by equipping school staff with the training and resources they need to provide evidence-based and culturally responsible programming to their students. 

To date, TRAILS has brought essential skills and resources to more than 14,000 teachers, administrators, and school mental health professionals. Our best-in-class program materials are built specifically for the school setting, and our unique training model is driven by research from the field of implementation science. Our website and library of materials are utilized by educators and clinicians across the United States and in more than 100 countries around the world. While our impact today is greatest in our home state of Michigan, TRAILS is expanding nationally with strong support from education and health sector leaders, public offices, and state policymakers. 

As we work to respond to massive demand for TRAILS programming from schools and districts throughout the United States, our team is guided by a core commitment to equity: The TRAILS growth strategy identifies Title I designated schools as our broadest target population, and we aim specifically to impact students who experience high risk for poor mental health outcomes and disproportionate barriers to quality care. As we grow our team, we seek candidates who share our commitment to equity in health and healthcare access, who practice cultural humility, and who thrive in and contribute to an inclusive working environment.

THE ROLE

TRAILS is seeking a Data Scientist to support reporting efforts on TRAILS’ multi-tiered mental health interventions in K-12 schools. The Data Scientist will help build TRAILS’ evaluation reporting capacity by developing scalable processing and reporting pipelines for implementation and expansion partners (e.g. legislators, philanthropic funders, district partners). The Data Scientist will be responsible for developing and maintaining parameterized reports using the R programming language. 

TRAILS evaluation data includes survey data from students and staff, mental health data from students, administrative data, and publicly available data. TRAILS analysis and reporting ranges from descriptive work for stakeholders to advanced evaluation and statistical methods (e.g., RCTs, measurement analysis) published in peer-reviewed journals, all of which must be performed at a high level of data reproducibility and rigor across reporting formats. The Data Scientist will also support maintaining data integrity and good data stewardship through their data collection, processing, and analysis, while ensuring that methods are culturally responsible, equitable, replicable, and rigorous.  

The Data Scientist role will be a Limited Term Employment opportunity. Currently, these roles are backed by specific time limited legislative funding. As such, the role is considered to be limited term employment that will not go beyond December 2026. The position is considered a TRAILS team member and will receive full benefits during employment. If a regular, long-term role of interest to the team member becomes available at any point, the team member will be encouraged to apply.  

 

THE RESPONSIBILITIES

Program Reporting (65%)

  • Lead the development of automated data processing and reporting
  • Develop scalable processing and reporting pipelines to generate parameterized reports
  • Clean and analyze TRAILS program evaluation data using R
    • Data includes survey data from students and staff, mental health data from students, administrative data, and publicly available data
    • Create and maintain datasets, including merging files, restructuring, recoding variables, and checking for errors.
    • High level of data reproducibility, rigor, and efficiency is required that can be easily updated and reused for future reporting work
  • Design data visualizations and graphics to communicate data with a range of audiences
  • Prepare technical documentation in support of reporting efforts

Data Interpretation and Dissemination (25%)

  • Collaborate with TRAILS staff, including the Evaluation team, Implementation Team, and National Expansion team to identify and prioritize reporting opportunities
  • Provide technical assistance and trainings to TRAILS staff regarding the interpretation of reports
  • Prepare written (e.g., reports, manuscripts) and oral (presentations to internal and external decision maker) communications on TRAILS implementation and outcomes
  • Support report dissemination, including preparation of materials and attending meetings with key decision makers as needed

Team Responsibilities (10%)

  • Attend all staff meetings and retreats, workgroups, and other relevant TRAILS meetings as necessary
  • Support TRAILS team with all hands-on deck events and other initiatives as needed 

 

THE PERSON 

Our experience suggests that the following types of professional experiences lend themselves to this work:

  • At least 4 years of full-time professional work experience including:
    • 4+ years experience preparing data reports
    • 4+ years experience using a programming language to conduct data analysis in R
    • 2+ years experience automating reporting
    • 2+ years experience with data visualization and graphics
    • 2+ years experience leading the design and development of data reports for a variety of audiences
  • Strong programming skills, including experience crafting parameterized reporting
  • Demonstrated track record of independently analyzing, interpreting, and communicating diverse data sets 
  • Experience working with survey data, especially Qualtrics data
  • Strong commitment to diversity, equity, and inclusion, particularly as it relates to data practices
  • Strong commitment to TRAILS mission
  • Experience working at a human services program or agency, school district, child welfare agency, state or federal government, or foundations is desirable

Our experience suggests that the following types of skills lend themselves well to this work:

  • High degree of proficiency independently conducting parameterized report generation in R
  • Comfortable working with a high level of independence
  • Experience with Qualtrics and administrative records
  • Demonstrated ability to communicate complex research findings to diverse decision makers
  • Experience managing databases (including merging data files, identifying and correcting problems, and producing files for final analysis)
  • Experience automating data processing, management, and reporting processes
  • Experience documenting technical processes for technical and non-technical colleagues 
  • Experience providing technical assistance to non-technical colleagues
  • Experience with other data science tools (e.g. Python, SQL, etc.) desirable
  • Experience in developing reporting for decision makers with varying levels of data fluency
  • Expertise in academic, social, and emotional disparities observed in school-aged youth preferred

 

EDUCATION

Our experience suggests the following certifications and degree(s) lend themselves well to this work:

  • Advanced degree (e.g., Masters) in public policy, public health, data science, or a social science field (e.g., education, survey methodology, psychology) 
  • Advanced statistics, survey methods, and database management training
  • Applicable experience and competencies may be considered in lieu of formal education

 

COMPENSATION

The salary range for this role is $103,554 to $109,307 annually.

TRAILS offers a comprehensive benefits package including medical, dental, and vision as well as a 403B with a safe harbor match and short and long-term disability. We offer a generous holiday and paid time off package.  

 

APPLICATION NOTES 

  • We are only considering applicants who are legally authorized to work in the United States.
  • Our job descriptions reflect TRAILS’ assignment of essential functions and qualifications of the role. Nothing herein restricts management's right to assign, reassign or eliminate duties and responsibilities to this role at any time. 

OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION 

Addressing inequities in access to evidence-based mental health care is intrinsic to the TRAILS mission. The intentionality behind this approach is woven into everything we do at TRAILS, resulting in a staff-wide commitment to diversity, equity and inclusion for all facets of our program. If this commitment is something to which you could positively contribute, we encourage you to apply, particularly if your voice represents a historically excluded perspective. 

TRAILS, a project of Tides Center, is an “at-will” and equal opportunity employer. Applicants and employees shall not be discriminated against because of race, religion, sex, national origin, ethnicity, age, mental or physical disability, sexual orientation, gender (including pregnancy and gender expression) identity, color, marital status, veteran status, medical condition, or any other classification protected by federal, state, or local law or ordinance.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
Check out the description to know which languages are mandatory.

Soft Skills

  • cultural-humility
  • Problem Solving
  • verbal-communication-skills

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