Valo Health · 8 hours ago

Staff Research Lead in Epidemiology and Patient Data Products

United States

Full-time

Remote

Senior Level, Lead/Staff

3+ years exp

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Responsibilities

Lead research projects from planning to execution, including real-world data studies (e.g., electronic medical records) for projects in drug discovery and development.

Translate research questions into observational study designs, implement project plans, and leverage 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.

Qualification

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EpidemiologyBiostatisticsMachine LearningStatistical AnalysisPythonRAgile Software ToolsData ManipulationProject ManagementEthics/IRB ApprovalsGrant WritingIntegrated Clinico–Omics DatasetsTechnical Project Management

Required

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.

Preferred

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.