Remote Staff Research Lead

Summary

Join Valo Health as a Staff Research Lead in Epidemiology and Patient Data Products to contribute to groundbreaking research that is revolutionizing drug discovery. As a core member of our innovative team, you will have the opportunity to work with a diverse team of experts (data scientists, epidemiologists, and clinicians) and collaborate on challenging problems that have the potential to make a significant impact on global health.

Requirements

• MPH, MS with 5+ years or PhD in epidemiology or biostatistics with 3+ years of work-related experience applying epidemiological, statistical, and/or machine learning methods to real-world datasets
• Must have 3+ years of experience leading and executing real world studies. This experience may come from an investigator or lab/researcher manager role for population health/patient data studies
• Robust statistical analytic skills, applicable to cohort/longitudinal and case control studies of health care databases including electronic health records, administrative claims databases, and/or patient registries
• Clear communication and confidence in your ability to use agile software tools (e.g., Jira boards) to implement project plans and manage timelines (e.g., Gantt charts) used by multiple teams
• Experience leading epidemiologic projects from end-to-end: from translating research questions into observational study designs, contrasting strengths and weaknesses of different study designs and statistical approaches, and generating patient-centric insights from statistical models
• Must have experience conducting data manipulation and statistical analysis in Python and/or R programming languages
• Experience being an externally facing project leader, leading meetings, and soliciting input from clients, and keeping relevant stakeholders in the loop to ensure alignment throughout project lifecycle
• Comfortable working in ambiguous problem spaces; experience working in a start-up or agile work environment as part of cross-functional project teams

Responsibilities

• Lead research projects from planning to execution, including real-world data studies
• Translate research questions into observational study designs, implement project plans, and leverage your medical domain knowledge to create deliverables that showcase patient-centric insights from statistical models to diverse audiences
• Be a project leader, use agile software tools (e.g., Jira boards) to manage complex projects and timelines on cross-functional matrix teams
• Collaborate with epidemiology and biology program leads to define project scope, establish timelines, and allocate resources
• Problem-solve, collaborate, and embed stakeholder and client input into project planning; prioritize tasks that yield maximum impact
• Be comfortable with scientific uncertainty and embrace curiosity and creative solutions
• Work with a diverse array of data spanning electronic medical records, sequencing, multi-omics data, and other data modalities using R and Python in cloud environments
• Be an active team member, championing and adopting shared analytic and coding standards, and providing regular updates to the team

Preferred Qualifications

• Experience submitting ethics/IRB approvals, and grant writing and administration are a plus
• Familiarity with or exposure to traditional drug discovery and development processes and approaches is a plus
• Familiarity with integrated clinico–omics datasets (including sequencing, genomics, proteomics, etc.) is a plus
• Advanced knowledge in biostatistics approaches, including inferential and predictive modeling, and comfortable implementing unsupervised machine learning algorithms in real world health care databases
• Technical project management experience on cross-functional teams is a plus