Biopharma Analytics Consulting

Evidence that moves
decisions forward

Qubit Data partners with biopharma organizations to deliver rigorous real-world evidence, health economics & outcomes research, and advanced analytics.

Core Service
Real-World Evidence Studies
Core Service
HEOR & Economic Modeling
Core Service
Advanced Analytics & ML
Real-World Evidence
Health Economics & Outcomes Research
Advanced Analytics
Regulatory & HTA Support
Strategic Consulting
RCT TRIAL R W D Qubit Data BIOPHARMA ANALYTICS · RWE · HEOR
What We Do

Capabilities built for
biopharma's toughest questions

From early evidence generation to market access, we provide the analytical depth your teams need to make confident decisions.

01

Real-World Evidence

Study design, claims and EHR analysis, comparative effectiveness, and retrospective cohort studies using secondary data sources to support regulatory and market access decisions.

02

Health Economics & Outcomes Research

Cost-effectiveness models, budget impact analyses, PRO instrument development, and systematic literature reviews that build the economic case for your therapy.

03

Advanced Analytics

Machine learning, predictive modeling, patient segmentation, survival analysis, and epidemiological methods applied to complex biopharma datasets.

04

Regulatory & HTA Support

Evidence synthesis and dossier development for FDA submissions, NICE appraisals, and other HTA bodies. We help you tell a clear, defensible evidence story.

05

Strategic Consulting

Evidence planning, gap analyses, and cross-functional advisory support across clinical development, medical affairs, and commercial to align your data strategy.

06

Data Engineering & Visualization

Scalable pipelines, database architecture, and interactive dashboards that make real-world data accessible and actionable for scientific and commercial teams.

How We Work

A rigorous, collaborative
process — every engagement

We embed alongside your teams to understand the scientific and commercial context before writing a single line of code or analysis.

01

Understand the decision

We clarify what decision needs to be made and what evidence will be persuasive to your audience — regulators, payers, or clinicians.

02

Design the evidence

We develop a study or model design that is scientifically defensible, pragmatic, and suited to available data sources and timelines.

03

Execute with precision

Statistical analysis and deliverable development under documented, reproducible workflows with full transparency.

04

Communicate clearly

We translate findings into clear narratives — publications, slide decks, dossiers — tailored to each stakeholder audience.

Areas of Expertise

Deep experience across
therapeutic areas & methods

Our team brings focused expertise in both methodology and disease areas, so analysis is never generic.

Therapeutic Areas

  • Rare Disease
  • Autoimmune & Immunology
  • Oncology
  • Cardio-Metabolic
  • Neuromuscular
  • Rheumatology

Methods & Data

  • Target Trial Emulation
  • Causal Inference & Propensity Score / IPTW
  • Comparative Effectiveness Research
  • Trial–RWD Linkage & Tokenization
  • Burden of Illness & HCRU
  • COA, PRO & Quality of Life Measures
  • Patient Preferences & Discrete Choice
  • Cost-Effectiveness Analysis (CEA)
  • Systematic Reviews & Evidence Synthesis
  • Claims, EHR & Registry Data (Medicare, Optum, MarketScan)
Sketch portrait of Mehdi NajafZadeh

Mehdi NajafZadeh, PhD

Founder & Principal

LinkedIn Scholar PubMed

Mehdi NajafZadeh, PhD is a real-world evidence (RWE) strategist and pharmacoepidemiologist with over 15 years of experience generating regulatory- and HTA-grade evidence across rare disease, autoimmune, oncology, and cardio-metabolic therapeutic areas.

As a former Assistant Professor and Principal Investigator at Brigham and Women's Hospital, Harvard Medical School, Mehdi led NIH and FDA-funded research, developing methods for trial–RWD linkage, generalizing trial results to target real-world populations, target trial emulation, causal inference, and health economics and outcomes research (HEOR). He subsequently served as Senior Director of Evidence Generation at Medidata AI, advising biopharma partners on integrated evidence plans, data linkage, and clinical data strategy.

Mehdi has authored 70+ peer-reviewed publications in journals including NEJM, Annals of Internal Medicine, and JAMA Network Open, and is a frequent speaker and session chair at ISPOR, DIA, and ICPE. He founded Qubit Data to bring this depth of scientific expertise directly to biopharma teams navigating complex evidence challenges.

Let's talk about your evidence needs

Whether you're planning a new study, need HEOR support for a submission, or want to explore what your data can reveal.

Location

United States

Response Time

Within 1–2 business days

Thank you — we'll be in touch within 1–2 business days.