Amal Thomas
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Amal Thomas Email & Phone Number

Computational Biologist & Data Scientist at Gilead Sciences
Location: San Mateo, California, United States 10 work roles 3 schools
2 work emails found @usc.edu LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

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Work email a****@usc.edu
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Current company
Role
Computational Biologist & Data Scientist
Location
San Mateo, California, United States
Company size

Who is Amal Thomas? Overview

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Quick answer

Amal Thomas is listed as Computational Biologist & Data Scientist at Gilead Sciences, a company with 11861 employees, based in San Mateo, California, United States. AeroLeads shows a work email signal at usc.edu and a matched LinkedIn profile for Amal Thomas.

Amal Thomas previously worked as Clinical Data Engineer at Gilead Sciences and Computational Biology Scientist I at 23Andme. Amal Thomas holds Doctor Of Philosophy (Ph.D.), Computational Biology And Bioinformatics from University Of Southern California.

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Email format at Gilead Sciences

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{first}.{last}@usc.edu
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Profile bio

About Amal Thomas

Computational biologist with experience in developing statistical methods and software pipelines for integrative analysis of high-throughput sequencing data

Listed skills include C, C++, Microsoft Office, Programming, and 15 others.

Current workplace

Amal Thomas's current company

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Gilead Sciences
Gilead Sciences
Computational Biologist & Data Scientist
foster city, california, united states
Website
Employees
11861
AeroLeads page
10 roles

Amal Thomas work experience

A career timeline built from the work history available for this profile.

Clinical Data Engineer

Current

Foster City, California, United States

- Design, development, and implementation of Bioinformatics and Machine Learning methods to integrate multi-modal genomics datasets to support clinical development- Developed and implemented bioinformatics pipelines, including gene-expression quantification (RNA-Seq), mutation calls (WES/WGS), detecting fusion transcripts, and ctDNA annotation for Omics.

Sep 2023 - Present

Computational Biology Scientist I

South San Francisco, California, United States

  • Contributed to algorithms and eQTL detection pipelines to enable functional annotation of genetic associations to identify genetically-informed drug targets
  • Improved existing RNA-Seq analysis pipeline to quantify overlapping genes accurately and streamlined the workflow to reduce computational expenses
  • Worked on assessing lncRNAs as explanations of association signals and as potential drug targets
  • Worked on evaluating scRNA-seq eQTLs as a gene mapping source
  • Received 23andMe Therapeutics recognition award for reducing computational cost (> $40K) associated with reprocessing gene-expression datasets
  • Honored with two 23andMe Therapeutics Phenomenal Thanks awards for exceptional contributions in assisting colleagues
Dec 2022 - Aug 2023

Researcher Phd Candidate

Los Angeles

  • Developed a homology-independent algorithm to analyze and query gene expression data across species. Characterized functionally important genes from cross-species gene expression datasets.
  • Developed bioinformatics pipelines to analyze RNA-Seq, ATAC-Seq, ChIP-Seq, WES, single-cell omics data, and other epigenetic next-generation sequencing data
  • Collaborated on projects studying the metastasis mechanisms of circulating tumor cells (CTCs)
  • Proficient in using bioinformatics tools for analyzing genomics datasets, including Bioconductor packages, GATK, BWA, STAR, Salmon, VEP, etc.
  • Extensive experience with biological databases: NCBI, Ensembl, GEO/ArrayExpress, SRA, GTEx, ENCODE, GDC, and TCGA
Sep 2015 - Oct 2022

Student Mentor

United States

  • Mentor, gtfBase project, Open Bioinformatics Foundation
  • Help and evaluate GSoC contributor participation
  • Development of curated resource of multispecies genomic regions
May 2021 - Jul 2021

Student Mentor

United States

  • Mentor, pysradb project, Open Bioinformatics Foundation
  • Development of a method to retrieve information from NCBI’s SRA database
  • Help and evaluate GSoC contributor participation
May 2020 - Jul 2020

Undergraduate Research Assistant

Kharagpur Area, India

  • Undergraduate Research Assistant at Computational Structural Biology Group, IIT Kharagpur
  • Computational prediction of microRNAs & Structural analysis of ribosomal complexes
Jul 2010 - Jul 2015

Research Intern

Singapore

Identifying the regulation of microRNA 5′ selection in fruit flies by analyzing small RNA sequencing data

May 2013 - Jul 2013
Team & coworkers

Colleagues at Gilead Sciences

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3 education records

Amal Thomas education

Education record

Chavara Public School, Pala
FAQ

Frequently asked questions about Amal Thomas

Quick answers generated from the profile data available on this page.

What company does Amal Thomas work for?

Amal Thomas works for Gilead Sciences.

What is Amal Thomas's role at Gilead Sciences?

Amal Thomas is listed as Computational Biologist & Data Scientist at Gilead Sciences.

What is Amal Thomas's email address?

AeroLeads has found 2 work email signals at @usc.edu for Amal Thomas at Gilead Sciences.

Where is Amal Thomas based?

Amal Thomas is based in San Mateo, California, United States while working with Gilead Sciences.

What companies has Amal Thomas worked for?

Amal Thomas has worked for Gilead Sciences, 23Andme, University Of Southern California, Google Summer Of Code, and Indian Institute Of Technology, Kharagpur.

Who are Amal Thomas's colleagues at Gilead Sciences?

Amal Thomas's colleagues at Gilead Sciences include Brent Piattelli, Alain Van Belle, Amy Otto, Nancy Jackson, and Carol Donoho.

How can I contact Amal Thomas?

You can use AeroLeads to view verified contact signals for Amal Thomas at Gilead Sciences, including work email, phone, and LinkedIn data when available.

What schools did Amal Thomas attend?

Amal Thomas holds Doctor Of Philosophy (Ph.D.), Computational Biology And Bioinformatics from University Of Southern California.

What skills is Amal Thomas known for?

Amal Thomas is listed with skills including C, C++, Microsoft Office, Programming, Python, Biotechnology, Linux, and Windows.

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