Dear colleagues,

We have a new opening for a Principal Scientist, Scientific Data Processing 
Lead, based at GSK in Stevenage, UK.

Full details at 
https://jobs.gsk.com/en-gb/jobs?keywords=420441&lang=en-gb&sortBy=relevance&page=1



Closing Date for Applications 16th May 2025

For informal enquiries please contact paul.2.rowl...@gsk.com or 
chun-wa.h.ch...@gsk.com



Thanks for your interest,



Paul Rowland





The UK Structural & Biophysical Sciences Centre of Excellence at Stevenage is a 
global multi-disciplinary department within GSK R&D that provides molecular 
insights into drug discovery for small molecule, oligonucleotide, 
biopharmaceutical and vaccine programmes.



Our new CryoEM lab has state of the art facilities including two Glacios 
microscopes and a well-equipped sample preparation laboratory. We also have 
regular access to two Krios microscopes from our membership of the Cambridge 
CryoEM Consortium. To facilitate the rapid processing and subsequent 
interpretation of a continuous flow of CryoEM datasets we have embarked on 
building a new computing and software infrastructure from the ground up, 
including both on premises and in Cloud computing systems at scale.



We are looking for an exceptional Principal Scientist with an interest in 
building and improving data processing workflows and using them to accelerate 
the impact of our new world class structural biology facilities. This role 
provides opportunities to integrate advances in prediction, modelling and AI/ML 
by collaborating with departments at GSK, enhancing the speed and success of 
drug discovery. The initial focus will be on CryoEM data processing with the 
expectation that it would later expand to include additional structural biology 
and biophysical techniques. Whilst drawing on the ideas and experience of the 
wider group, you will bring your own ideas to the design and implementation of 
the data processing workflows, building capabilities by scripting the 
functionalities of current CryoEM software packages. Working with live project 
data you will contribute to the delivery of results for drug discovery project 
goals, enabling the group to drive science forward. This role could be an ideal 
opportunity to progress your career. Whether you are interested in being an 
individual contributor or have leadership aspirations we would like to hear 
from you.

Basic Qualifications & Skills: We are looking for professionals with these 
required skills to achieve our goals:

  *   Advanced degree (PhD or equivalent) in a relevant scientific discipline.
  *   Proficient programming skills, including Python and bash scripting, with 
experience in integrating and linking scientific software applications, 
especially on high-performance computing systems.
  *   Keen interest in scientific issues, with excellent problem-solving 
skills. Able to identify and tackle the root cause of problems to achieve 
optimal solutions.
  *   Proven ability to define strategy and actionable plans, and execute with 
excellence, either independently or through effective coordination with others 
to achieve goals successfully.
  *   Demonstrated track record of effectively working within and across teams 
in matrix organizations, driving and contributing to workflows and data flows 
across line boundaries.
  *   Excellent organisational, interpersonal, communication, and teamwork 
skills, with a strong dedication to supporting team members in achieving 
scientific goals and meeting deadlines.

Preferred Qualifications & Skills: Please note the following skills are not 
necessary, just preferred, if you do not have them, please still apply:

  *   Experience in writing data processing software pipelines for techniques 
such as CryoEM, X-ray crystallography, materials science, NMR, and image 
processing.
  *   Detailed understanding of current CryoEM data processing software such as 
Relion, CryoSPARC, CCP4, CCP-EM, Doppio, and CryoCloud.
  *   Experience with modern software development tools and practices, 
including object-oriented programming, Git/GitHub, DevOps tools, AI tools, 
Slurm, and Google Cloud.
  *   Web development, including browser-based visualisation and plug-ins.
  *   Proven expertise in leading the analysis and interpretation of scientific 
data.


[cid:image001.png@01DBB7AB.55332F30]


Paul Rowland
Scientific Leader
Protein, Cellular & Structural Sciences
Target Discovery

GSK
Medicines Research Centre, Gunnels Wood Road, Stevenage, SG1 2NY, UK

paul.2.rowl...@gsk.com<mailto:xxxxxxxx.x.xxxx...@gsk.com>

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