Ranjit Randhawa

Ranjit Randhawa Email and Phone Number

Computational Biology & Data Science Leader | Ex. Senior Principal at Flagship Pioneering @ Paratus Sciences
Ranjit Randhawa's Location
Cambridge, Massachusetts, United States, United States
Ranjit Randhawa's Contact Details

Ranjit Randhawa work email

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About Ranjit Randhawa

Scientist specializing in the field of computational biology and focusing on hypothesis generation, biomarker discovery, modeling and analytics, selecting new drug targets and enhancing the effectiveness of pharmaceutical development. International experience enables collaboration and leadership across diverse groups.Languages: English (Native). French (Fluent). Hindi (Fluent). Spanish (Proficient).Lived and studied in 13 countries throughout Europe, Asia, Latin America and North America.Specialties: Data Science, Infrastructure, Computational Biology. Research and Analytics. Project Management. Data Mining. Data Visualization. Network Analysis. Hypothesis Generation. Bioinformatics.

Ranjit Randhawa's Current Company Details
Paratus Sciences

Paratus Sciences

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Computational Biology & Data Science Leader | Ex. Senior Principal at Flagship Pioneering
Ranjit Randhawa Work Experience Details
  • Paratus Sciences
    Svp Computational Biology And Data Sciences
    Paratus Sciences Sep 2024 - Present
    New York And Singapore
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Ranjit Randhawa Skills

Bioinformatics Biotechnology Computational Biology Data Mining Data Analysis Drug Discovery Lifesciences Project Management

Frequently Asked Questions about Ranjit Randhawa

What company does Ranjit Randhawa work for?

Ranjit Randhawa works for Paratus Sciences

What is Ranjit Randhawa's role at the current company?

Ranjit Randhawa's current role is Computational Biology & Data Science Leader | Ex. Senior Principal at Flagship Pioneering.

What is Ranjit Randhawa's email address?

Ranjit Randhawa's email address is rr****@****res.com

What skills is Ranjit Randhawa known for?

Ranjit Randhawa has skills like Bioinformatics, Biotechnology, Computational Biology, Data Mining, Data Analysis, Drug Discovery, Lifesciences, Project Management.

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