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Radia J. Email & Phone Number

Senior Director @ Tempus AI | Computational Biology, Target Discovery at Tempus AI
Location: San Francisco Bay Area, United States, United States 13 work roles 3 schools
1 work email found @gene.com LinkedIn matched
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Role
Senior Director @ Tempus AI | Computational Biology, Target Discovery
Location
San Francisco Bay Area, United States, United States

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Radia J. is listed as Senior Director @ Tempus AI | Computational Biology, Target Discovery at Tempus AI, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at gene.com and a matched LinkedIn profile for Radia J..

Radia J. previously worked as Senior Director, Computational Discovery Science at Tempus Ai and Director, Research Data Sciences at Gilead Sciences. Radia J. holds Doctor Of Philosophy (Ph.D.), Immunology from University Of Toronto.

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About Radia J.

I am a Senior Director of Computational Discovery Science. I have experience managing and mentoring a team of computational biologists contractors to analyze and generate data-driven insights from molecular data from clinical trials and real world data for target discovery and translational research to accelerate oncology drug development programs. I have over 10 years of experience in biopharma/biotech and academia in life science research data science, bioinformatics, clinical genomics and statistical modeling in cancer genomics.My mission is to leverage my expertise in bioinformatics, statistical data analysis, machine learning, R, and Python to generate actionable insights and hypotheses from complex and high-dimensional data. I have led and contributed to R&D projects, including pre-IND, phase 1/2, and phase 3 clinical trials, cross-functional collaborations with oncology biomarker discovery, discovery oncology, and product development groups. I have also co-authored 33+ scientific publications and a book on "Mastering scientific computing with R". I'm always looking to grow my personal and professional network. Feel free to connect via LinkedIn.

Listed skills include Cell Biology, Research, Immunology, Molecular Biology, and 15 others.

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Radia J.'s current company

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Tempus AI
Tempus Ai
Senior Director @ Tempus AI | Computational Biology, Target Discovery
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13 roles

Radia J. work experience

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

Senior Director, Computational Discovery Science

Current

Chicago, IL, US

Key Responsibilities:Utilize novel analytical methods applied to multi-modal data - such as genomic (bulk, single cell, spatial), imaging, and clinical - to identify targets in patient sub-populationsIn partnership with Tempus’ modeling lab, use data from CRISPR and cell perturbation experiments in patient-derived organoids to identify and validate novel.

Sep 2024 - Present

Director, Research Data Sciences

Foster City, CA, US

  • Developed bioinformatics algorithms using R programming and Python, enabling the extraction of actionable insights from complex clinical trial, electronic health records, and genomic assay data, driving evidence-based.
  • Leveraged expertise in advanced statistical and bioinformatics analysis to analyze 10+ multi-omics datasets, specifically transcriptomic and single cell sequencing data. Utilized cutting-edge methodologies to identify.
  • Launched and deployed an advanced machine learning and statistical modeling framework to analyze genomic data from internal clinical trials and 3000+ real-world patient records; identified key genomic features.
  • Led the successful implementation of advanced deep learning workflows in Python Jupyter notebooks, integrating and analyzing 'omics datasets to generate single cell atlases from more than 1 million cells. This approach.
  • Trained statistical models and neural networks to identify key genomic features impacting tumor outcome using public, internal clinical genomics data, and real-world evidence from Tempus AI/Labs; implemented.
  • Participated in due diligence efforts with 3 biotech industry partners including AI solution deals, supporting the acquisition of critical data resources to drive data-driven insights for research exploratory and.
Mar 2023 - Sep 2024

Principal Scientist (Reverse Translation/Oncology Bioinformatics)

South San Francisco, California, US

  • Implemented statistical and predictive modeling with R and Python to extract actionable features associated with patient response to targeted therapies and standard of care from complex clinical trial biomarker data.
  • Orchestrated and streamlined reverse translation efforts for solid tumor signaling franchise as group leader and bioinformatics lead scientist; achieved breakthroughs in target discovery and combination strategies.
  • Led 5+ cross-functional collaboration with Research, Translational Medicine, Biomarker, Early Clinical development, and Informatics team leads to drive adoption of bioinformatics data-derived insights, resulting in.
  • Presented research findings on the effectiveness of PI3K inhibitors and endocrine therapies in breast cancer at international conferences.
  • Spearheaded the recruitment, development, and management of a talented team of 1 senior bioinformatics scientist and 1 contractor, driving the solid tumor signaling franchise's reverse translation capabilities and data.
  • Mentored 1 intern in executing research project leveraging statistics and reverse translation to extract digital pathology features associated with treatment Taselisib response in Sandpiper Phase 3 trial through.
Oct 2022 - Mar 2023

Senior Scientist (Oncology Bioinformatics)

South San Francisco, California, US

  • Conducted comprehensive analysis of 10+ large-scale NGS omics bulk and single cell datasets, high-dimensional assay, and drug sensitivity data from diverse sources (internal, public, commercial) to identify optimal.
  • Led Bioinformatics analysis of 10+ complex datasets to unravel intricate biological pathways and identify novel therapeutic targets; facilitated cross-functional collaboration and knowledge sharing to accelerate drug.
  • Led 1 research project focused on investigating the impact of ARID1A gene mutations on cetuximab resistance in first-line metastatic colorectal cancer patients, contributing to a deeper understanding of treatment.
  • Developed an innovative gene expression–based prognostic signature for isocitrate dehydrogenase (IDH) wild-type glioblastoma, leveraging clinical trial datasets representative of glioblastoma clinical trial.
  • Awarded the prestigious Genentech Innovation Fund in 2019 as co-primary applicant to establish novel single nuclei methylation technology, leveraging cutting-edge research in the field; managed a 1 wet-bench contractor.
May 2021 - Oct 2022

Scientist (Bioinformatics)

South San Francisco, California, US

  • Translated complex molecular biomarker data into diagnostic tools; guided understanding of drug activity in patient tumors and identified subsets of patients for targeted therapeutic interventions, from for 2.
  • Collaborated on biomarker projects with OBD on breast cancer (Neosphere study) and colorectal cancer (CALGB 80405 trial), and GBM (ARTE, TAMIGA, EORTC 26101, AVAglio, GLARIUS trials).
  • Awarded a highly competitive Genentech Innovation Fund in 2018, to support a collaboration between Genentech and the Metrakos Lab at McGill University to adapt the Cao et al., 2017, Science paper to enable the.
Dec 2019 - May 2021

Associate Scientist (Bioinformatics)

South San Francisco, California, US

Translation of complex molecular biomarker data into useful diagnostic tools to guide our understanding of drug activity in patient tumors and identify subsets of patients who may benefit from specific therapeutic interventions.Weighted Gene co-expression analysis to identify signature associated with response in the NeoSphere Trial.

Sep 2017 - Dec 2019

Research Associate - Bioinformatician

Montreal, Qc, CA

  • Led large-scale data processing and analysis of 10+ projects for researchers Dr. Morag Park, Dr. Russell Jones, and Dr. Peter Siegel at McGill University and international collaborations, using genomics, microarray.
  • Managed secure storage and regular backups for all NGS sequencing data on our lab servers, ensuring data integrity and availability for analysis processes on Compute Canada Calcul Quebec clusters.
  • Created lecture courses for Dr. Nicole Beauchemin's GCRC bioinformatics workshops and EXMD 635 course, covering a wide range of topics such as Microarrays & next generation sequencing pre-processing and analysis.
Nov 2015 - Sep 2017

Medical Writer

Montreal, Quebec, CA

Responsible for developing content for medical and pharmaceutical training activities.Research, create, and edit medical/scientific deliverables in various scientific and therapeutic areasPerform scientific literature searches. Produce high-quality content quickly and efficiently to meet deadlines.Maintain familiarity with current industry practices and.

Jul 2015 - Nov 2015

Postdoctoral Research Fellow

Montréal, QC, CA

  • Defined and directed two independent research projects analyzing leukemia-specific transcriptional changes and minimal residual disease markers in Acute Myeloid Leukemia.
  • Led the development and implementation of highly efficient bioinformatics pipelines, leveraging R, Perl, BASH, and Python to quantify splicing variants from NGS data. Facilitated precise analysis of patient data.
  • Presented research findings at regular meetings and conferences, communicating complex scientific concepts to diverse audiences.
  • Trained summer students in the lab of Dr. Brian Wilhelm, enhancing their research skills and fostering their professional development.
  • Co-authored Mastering Scientific Computing with R, published by PACKT Publishing, where I contributed 5 chapters covering Programming with R, Statistical Methods, Linear Models, Simulations and Monte Carlo Modeling.
Apr 2013 - Jul 2015

Research Associate

Cambridge, England, GB

Roles & Responsibilities: Designed experimental assays to study the molecular and cellular consequences of JAK2 mutations in hematological malignancies. Prepared blood samples from patients for processing and set up sequencing assays. Analyzed data from high-throughput assays with R.

Jun 2012 - Mar 2013

Lab Demonstrator/Marker

Toronto, Ontario, CA

  • Lab demonstrator and marker for IMM435F Practical Immunology course at the University of Toronto.
  • Trained and managed a group of 13 immunology 4th year undergraduate students
  • Supervised students execution of lab experiments and marked the relevant lab reports.
  • Challenged lab students with questions related to the ongoing experiments
Jan 2010 - Apr 2011

Teaching Assistant

Toronto, Ontario, CA

  • Teaching Assistant for the IMM250H1 Infection & Immunity course at the University of Toronto.
  • Marked exams and term paper and invigilated final exam. Seminar Leader for the Immunology for 2nd Year Medical students Pathobiology of Disease Immunology Section at the University of Toronto.
  • Presented reviews of material taught in class and answer student questions.
Sep 2007 - Apr 2009
3 education records

Radia J. education

Doctor Of Philosophy (Ph.D.), Immunology

University Of Toronto

Bachelor Of Science (B.Sc.), Honours Immunology (Interdepartmental)

Mcgill University

Postdoc, Bioinformatics, Computational Biology

Université De Montréal
FAQ

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

What company does Radia J. work for?

Radia J. works for Tempus AI.

What is Radia J.'s role at Tempus AI?

Radia J. is listed as Senior Director @ Tempus AI | Computational Biology, Target Discovery at Tempus AI.

What is Radia J.'s email address?

AeroLeads has found 1 work email signal at @gene.com for Radia J. at Tempus AI.

Where is Radia J. based?

Radia J. is based in San Francisco Bay Area, United States, United States while working with Tempus AI.

What companies has Radia J. worked for?

Radia J. has worked for Tempus Ai, Gilead Sciences, Genentech, Mcgill University, and Medisca.

How can I contact Radia J.?

You can use AeroLeads to view verified contact signals for Radia J. at Tempus AI, including work email, phone, and LinkedIn data when available.

What schools did Radia J. attend?

Radia J. holds Doctor Of Philosophy (Ph.D.), Immunology from University Of Toronto.

What skills is Radia J. known for?

Radia J. is listed with skills including Cell Biology, Research, Immunology, Molecular Biology, Genetics, Life Sciences, Pcr, and Data Analysis.

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