Arghya Barman
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Arghya Barman Email & Phone Number

Associate Director of Data Science at FUJIFILM Diosynth Biotechnologies
Location: Redcar, England, United Kingdom 7 work roles 3 schools
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Role
Associate Director of Data Science
Location
Redcar, England, United Kingdom
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Who is Arghya Barman? Overview

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Arghya Barman is listed as Associate Director of Data Science at FUJIFILM Diosynth Biotechnologies, a with 317 employees, based in Redcar, England, United Kingdom. AeroLeads shows a matched LinkedIn profile for Arghya Barman.

Arghya Barman previously worked as Senior Data Scientist at Fujifilm Diosynth Biotechnologies and Bioinformatics Lead at Invista. Arghya Barman holds Doctor Of Philosophy (Phd), Computational Chemistry, A from University Of Miami.

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FUJIFILM Diosynth Biotechnologies

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About Arghya Barman

Arghya Barman is a Associate Director of Data Science at FUJIFILM Diosynth Biotechnologies.

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FUJIFILM Diosynth Biotechnologies
Fujifilm Diosynth Biotechnologies
Associate Director of Data Science
Redcar, GB
Employees
317
AeroLeads page
7 roles

Arghya Barman work experience

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

Senior Data Scientist

United Kingdom

• Successfully conceptualized, designed, developed, and implemented a propitiatory in-house bioinformatics platform tailored to the specific needs in a biologics CDMO environment.• Developed algorithm and integrated publicly available bioinformatics tools into existing workflows to enhance the scope and depth of data analysis.• Utilized advanced algorithms and machine learning techniques to create models that provide predictions in areas such as developability assessment of biologics drugs.• Collaborated with multidisciplinary teams to understand specific research or project requirements, tailoring the integration of tools and predictive models to meet the unique needs of each initiative.• Utilized advanced risk modeling techniques to identify potential challenges in biologics drugs and proactively address them in the early stages of projects, and effectively communicate with clients.• Led the initiative in creating user-friendly scientific and non-scientific web applications, streamlining workflows, and simplifying diverse business requirements.• Actively participated in internal Research and Development activities, contributing to the exploration and advancement of innovative solutions within the organizational framework.• Acted as an industrial supervisor, guiding and mentoring individuals in collaborative projects that brought together academia and industry, facilitating the exchange of knowledge and expertise.

Nov 2018 - Apr 2023

Bioinformatics Lead

United Kingdom

• Development of in-house capability for industrial biocatalyst design using state-of-the art computational methods • Derived testable hypothesis to drive decision making by analyzing multi-scale biological data using statistical methods• Accelerated project direction by development of predictive models using statistical and machine learning algorithm increasing the business output and reducing the opportunity cost• Analyzed complex biological data, retrieved meaningful insights and presented in a understandable manner to collaborators• Provided technical guidance to colleagues and group members

Jun 2016 - Oct 2018

Post Doctoral Fellow

Atlanta

• Designed computational framework for automation & simulation workflow and analyze complex data with statistical analysis to structure, function, and dynamics of biomolecules• Developed data driven computational methods to study functional and allosteric modulation of biomolecules• Described quantitative description of molecular function and interaction exploring confrontational phase space and free energy landscape of biomolecules• Managed and analyzed of large scale simulation data and involved in active communication with collaborators• Mentored and supervised graduate and undergraduate students

Jul 2013 - Jun 2016

Post Doctoral Research Fellow

Baltimore

• Virtual screening and structure based computational drug design• Involved in method development for computational drug design• Analyzed of large scale data in computer aided drug design• Provided molecular modeling support to collaborative projects

Jul 2012 - Jun 2013

Research Biologist

Kolkata Area, India

• Protein expression, purification and ligand screening assay • Analysis of biological assay data from high-throughput screen

Oct 2005 - Jun 2007
3 education records

Arghya Barman education

Doctor Of Philosophy (Phd), Computational Chemistry, A

My PhD research areas inclined to structural and functional studies of proteases, metallo-peptidases and amyloid beta peptide. I used QM.

FAQ

Frequently asked questions about Arghya Barman

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

What company does Arghya Barman work for?

Arghya Barman works for FUJIFILM Diosynth Biotechnologies.

What is Arghya Barman's role at FUJIFILM Diosynth Biotechnologies?

Arghya Barman is listed as Associate Director of Data Science at FUJIFILM Diosynth Biotechnologies.

Where is Arghya Barman based?

Arghya Barman is based in Redcar, England, United Kingdom while working with FUJIFILM Diosynth Biotechnologies.

What companies has Arghya Barman worked for?

Arghya Barman has worked for Fujifilm Diosynth Biotechnologies, Invista, Georgia State University, University Of Maryland, Baltimore, and Chembiotek.

How can I contact Arghya Barman?

You can use AeroLeads to view verified contact signals for Arghya Barman at FUJIFILM Diosynth Biotechnologies, including work email, phone, and LinkedIn data when available.

What schools did Arghya Barman attend?

Arghya Barman holds Doctor Of Philosophy (Phd), Computational Chemistry, A from University Of Miami.

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