GSK · 5 hours ago
Scientific Leader, Molecular Design
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. The successful applicant will join the Molecular Design team to accelerate the discovery and development of transformational medicines through advanced computational methods and collaboration with preclinical research partners.
BiotechnologyHealth CarePharmaceutical
Responsibilities
Collaborate with experimental groups to drive compound design and improve models using structure-based drug design, QSAR modeling, QM methods, and methods of computationally modeling macromolecular systems
Predict and evaluate targets for their probability of success to be drugged across various modalities including small molecules, oligonucleotides, protein degraders and antibody drug conjugates
Work with biology team members to assimilate data from experiments, optimize those experiments, and integrate that data into compound design
De novo design and multi-objective optimization of tool compounds and target-specific medicines
Partner with other GSK computing groups to develop and embed computational methods in visualization packages to enable experimental multi-variate analysis and data-driven decision-making
Collaborate with external groups to further develop computational methods to enhance our internal compound design
Stay up-to-date with the latest developments in computational methods as they relate to small molecules, PROTACs, DNA/RNA therapeutics and other modalities
Qualification
Required
PhD or equivalent in Computational Chemistry, Computational Biology, Biophysics or Chemistry
5+ years industry experience post-graduation or postdoc
Scientific contributions documented with publications, presentations, and/or patents
Experience in molecular modeling, protein structure analysis, and small molecule optimization
Experience working in a Linux/Unix environment
Expertise in one or more scripting or programming languages (e.g. Python, Java, C++/Visual C++)
Preferred
Strong organizational and communication skills (both written and oral), with the ability to liaise and communicate complex computational procedures and outcomes with scientists and external collaborators
Knowledge of other drug discovery disciplines and processes, for example: medicinal chemistry, toxicology, DMPK, and/or screening data analysis
Present data in project team meetings and participate in the writing of abstracts and publications
Independently review and appraise scientific literature
Knowledge of cheminformatics and QSAR methods
Lead multi-disciplinary matrix teams to address key goals, exhibiting excellent interpersonal skills
Experience generating/applying machine learning in QSAR and other chemo-centric predictive models
Demonstrated research proficiency in modeling of oligonucleotide/RNA therapeutics in a drug discovery environment
Company
GSK
We are uniting science, technology and talent to get ahead of disease together. Our community guidelines: https://gsk.to/socialmedia
H1B Sponsorship
GSK has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (45)
2024 (56)
2023 (54)
2022 (53)
2021 (54)
2020 (72)
Funding
Current Stage
Public CompanyTotal Funding
$25.51MKey Investors
CARB-X
2021-03-02Grant· $18M
2020-09-23Grant· $7.51M
1978-01-13IPO
Recent News
EIN Presswire
2025-11-24
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