Open Position
Data Research Analyst
About TREND Community
TREND Community is a community-powered data analytics company dedicated to turning the conversations within rare, chronic, and emerging disease communities into meaningful, data-driven insights. We collaborate with healthcare providers, researchers, pharmaceutical companies, and regulatory bodies to drive progress. Our vision is to increase the world’s understanding of diseases through social listening and other patient engagement services.
Position Summary
We seek a talented Data Research Analyst to join our team and contribute to our mission of revolutionizing the world’s understanding of diseases. In this role, you will work closely with our NLP/ML engineers and data scientists to leverage and enhance our cutting-edge insights engine, Krystie™, and deliver custom data explorations for our stakeholders. You will play a crucial role in transforming complex data into actionable insights that drive progress in healthcare for rare and chronic diseases.
As a Data Research Analyst, you will analyze data and contribute to the continuous improvement of our analytical approaches. You’ll help identify potential degradation in our existing NLP models and play a key role in enhancing our current methods and expanding our internal lexical knowledge base. This position requires a deep understanding of NLP and healthcare domains with a blend of analytical skills, creativity, and storytelling.
What You’ll Do
- Work within our internal data analytics platform, which handles all our analytics and AI workloads.
- Produce tables and figures in a publication-quality form summarizing the results of statistical analyses and present these results.
- Maintain accountability of documentation, standardization of processes used, and the ability to reproduce your findings.
- As a small, agile company with multiple concurrent projects, you will need to think fast on your feet and switch context at a moment’s notice.
- Always consider our community’s best interests while performing your duties.
What You Have
- Advanced degree (Masters or Doctorate) in Statistics, Social Science, Public Health, or a related field.
- Background in linguistics, particularly with an emphasis on corpus analysis.
- Experience in clinical research, medical anthropology, or epidemiology.
- 3+ years of experience conducting end-to-end research projects on unstructured datasets (e.g., social media conversations).
- Proficiency in at least one programming language (R, SQL, or Python) and comfortable working in a notebook environment.
- Experience with cloud computing environments (e.g., Databricks).
- Strong communication and storytelling skills to present findings to industry and community partners.
- Critical thinking skills and a curious nature to uncover novel concepts within data.
- Ability to work effectively within a team and collaborate with other team members.
- U.S. citizen, legal U.S. resident, or legally allowed to work in the U.S. (we are currently not sponsoring applicant work visas).
Standout Qualities
- Experience with healthcare or biomedical NLP use cases.
- Familiarity with UMLS (Unified Medical Language System).
- Knowledge of data visualization tools and techniques.
- Understanding of machine learning concepts and their application in data analysis.
- Experience working with large-scale datasets and big-data technologies.
- Familiarity with NLP model evaluation and performance metrics.
- Experience in developing or enhancing lexical resources or ontologies.
What We Offer
- Medical, vision, and dental benefits
- Retirement plan
- 15 PTO days and pre-approved PTO
- One 3-day weekend every month
- Innovative environment
- Mac equipment
- An opportunity to truly impact people’s lives through your work
How We Communicate
Below are the standard tools you will have exposure to and be comfortable working with at TREND Community:
- Productivity software such as Microsoft Office, Google Workspace, and Slack
- Video conferencing software such as Zoom, Teams, and Google Meet
- CRM software such as Monday.com
Special Requirements
- Successful candidates must pass a criminal background check.
- This full-time, 40-hours-per-week hybrid schedule requires employees to be on-site twice weekly.
- Candidates who submit a cover letter and resume and show a strong interest in the company’s mission will be given preference.