Physician · MD, OB-GYN & Reproductive Medicine

Jimena Taciana García

Pharmacovigilance & Safety Data Science

Physician moving into pharmacovigilance and safety data science, after 10+ years managing complex reproductive medicine cases — including treatment-related complications such as OHSS — where clinical judgment about drug safety was part of daily practice, not a separate discipline.

My MSc thesis applies FAERS disproportionality analysis (PRR, ROR, BCPNN) and MedDRA coding to detect pharmacovigilance signals in reproductive medicine. I build the same rigor into data pipelines across healthcare and bioinformatics.

Buenos Aires, ArgentinaEU citizen (Italian)Remote / international
Jimena Taciana García
10+years in clinical practice — fertility & OB-GYN
236MFAERS records processed for the PV signal-detection thesis
3postgraduate programs — bioinformatics, genetics, data science

Selected work

End-to-end analytical work combining clinical domain expertise with reproducible data pipelines and stakeholder-facing reporting.

01

Pharmacovigilance Signal Detection in FAERS

MSc thesis · in progress

Applying disproportionality analysis (PRR, ROR, BCPNN) and MedDRA coding to FAERS to detect pharmacovigilance signals in drug combinations used in reproductive medicine.

Data engineering and exploratory analysis complete — 236M+ FAERS records processed, cohort of 1.9M women defined, drug/indication/reaction crosswalk validated as feasible. Signal detection and biological validation are next, expected mid-2027.
FAERS · MedDRA · Pharmacovigilance · PRR / ROR / BCPNN · Python · PostgreSQL
02

Personal Health Behavioral Analytics

6-stage reproducible pipeline integrating 4 multi-source personal datasets (Apple Health, Spotify, Netflix, Mercado Libre). Four interactive visualizations, each answering a specific analytical question about behavioral KPIs — delivered as a narrative storytelling report.

Tableau · Flourish · Datawrapper · RAWGraphs · Python · R
03

Public Health Hospital Analytics

Relational database in PostgreSQL analyzing hospital management and resource utilization. OLAP queries for productivity, medication consumption, and cost recovery, supporting stakeholder decisions in public health resource allocation.

SQL · PostgreSQL · OLAP · Data modeling
04

Breast Cancer Classification

SVM model for clinical decision support, with emphasis on clinically relevant performance metrics — sensitivity, specificity, AUC — over raw accuracy.

Python · SVM · Model evaluation
05

Endometrial Organoid scRNA-seq Pipeline

Reproducible bioinformatics pipeline for 118,672 single cells × 27,254 genes. Seurat workflow for stem/progenitor marker identification.

R · Seurat · scRNA-seq

Career Path

Ten years of clinical practice, now converging with formal data science training.

2024 – present
Reproductive Medicine Specialist, ObSBA

Full-scope fertility care and outcomes analysis on the practice's patient database; alongside an MSc in Data Science (ITBA) and a thesis applying FAERS disproportionality analysis to pharmacovigilance signal detection.

2023 – 2025
Fertility Private Practice, Dra. Kanzepolsky

Reproductive immunology and implantation failure cases, alongside a Diploma in Clinical Genetics & Rare Diseases (UPV).

2022 – 2023
Bioinformatics Internship, Carlos Simon Foundation

Genomic and clinical data analysis for women's health research in Valencia, as part of an MSc in Bioinformatics (VIU).

2019 – 2021
Reproductive Medicine Fellowship, IFER

Alongside OB-GYN emergency care at Hospital Naval Pedro Mallo and Hospital J.M. Penna.

2015 – 2019
OB-GYN Residency

Hospital J.M. Penna, Buenos Aires — full residency training in a high-volume public hospital.

I treat continuous training as part of the job, not separate from it — it's what keeps a clinical practice current with new tools and methods, from clinical genetics to data science. I also teach occasionally in the OB-GYN specialization program at UBA, since 2018.

Stack

Pharmacovigilance leads — the rest supports it.

PharmacovigilanceMedDRA · FAERS · PRR / ROR / BCPNN · ICH-GCP · Clinical Trial Monitoring (FEFyM)
LanguagesR · Python · SQL
VisualizationTableau · Flourish · Datawrapper · RAWGraphs · Power BI (in progress)
DataPostgreSQL · ETL · data transformation · KPI reporting
ML / AIMachine learning · deep learning (fundamentals)
BioinformaticsSeurat · scRNA-seq workflows
ToolsGit · GitHub · Excel (advanced)