Quantitative Research Analyst

Lumanity•Remote,

1d•Hybrid

About The Position

The Lumanity Patient-Centered Outcomes (PCO) team wishes to hire a Quantitative Research Analyst in this US-based hybrid role, to support Clinical Outcomes Assessment (COA) projects by producing high-quality, reporting-ready deliverables in close partnership with psychometricians and statisticians. You’ll focus on disciplined data intake coordination (as applicable), non-interventional data cleaning and QC, documentation/traceability, and polished tables/figures for senior review. As you progress, you’ll take on more responsibility for QC leadership, standardization, and workflow improvements that increase speed and consistency. This role does not own statistical analysis strategy or interpretive conclusions and does not conduct clinical trial data analyses. For interventional trial projects, you will not handle raw trial data.

Requirements

Bachelor’s degree in a quantitative or health-related discipline (Master’s a plus).
Experience supporting COA or outcomes research deliverables in consulting/CRO/academic/industry settings, working alongside psychometricians/statisticians.
Hands-on experience cleaning, standardizing, and QC-checking non-interventional datasets, with strong documentation and an audit-trail mindset.
Able to run/maintain existing R scripts, generate standardized outputs, and perform basic code/output QC (reproducibility, input/output traceability).
Demonstrated ability to produce accurate, client-ready tables/figures with strong formatting, labeling, referencing, and version control.
Detail-oriented, deadline-reliable, clear communicator who escalates issues appropriately and collaborates well across teams.
Comfortable handling sensitive information in line with data protection expectations.
Problem solving, team building, communication, time management, attention to detail, accountability, reliability, adaptability, proactivity, and confidentiality—aligned to Lumanity values and policies.

Nice To Haves

Master's degree

Responsibilities

Standardize workflows: Maintain consistent file structures, naming conventions, templates, and intake/QC checklists to reduce rework and improve traceability.
Clean and QC non-interventional data: Prepare observational/registry/natural history/survey datasets by identifying data issues, resolving formatting problems per specs, and escalating anomalies to senior team members.
Maintain documentation: Create auditable records of data checks, changes, decisions, and versioning aligned to internal standards/SOPs.
Support survey studies: Coordinate exports and data intake (as applicable), organize metadata (codebooks/labels), and ensure data provenance is documented.
Build client-ready outputs: Prepare reporting-ready tables, figures, and exhibits aligned to approved shells/specs, including formatting, labeling, and cross-references.
QC code and deliverables: Review R scripts/outputs for reproducibility and spec alignment; QC draft deliverables for completeness/consistency before senior scientific review.
Contribute to clear communication: Support visualizations and drafting of methods/process and data handling text under senior guidance (no independent interpretation).