From: jobs at ccl.net (do not send your application there!!!)<br />
To: jobs at ccl.net<br />
Date: Tue Mar 25 14:23:34 2025<br />
Subject: <STRONG>25.03.25 Machine Learning Scientists/Engineers, Cambridge, UK
</STRONG><br />

<h3 class="fancysmall">Machine Learning Scientists/Engineers, Cambridge, 
UK</h3>

<pre>
<b>Job Title:</b>       Machine Learning Scientists/Engineers
<b>Job Type:</b>        Permanent and 3-Year Fixed-Term Contracts
</pre>

<p class="pagebody">
<b<Location:    Cambridge, UK</b><br />
Astex Pharmaceuticals is a world leader in innovative drug discovery and
development. The company has successfully applied its proprietary
Fragment-Based Drug Discovery platform to generate multiple new drug
candidates that are progressing in clinical development. Successful
collaborations have led to three launched oncology drugs (Kisqali
partnered with Novartis, Balversa partnered with Janssen and Truqap
partnered with AstraZeneca). Astex continues to grow and focuses on
Neurological Disorders and Oncology.</p>

<p class="pagebody">
<b>The Role</b><br />
We are seeking multiple Permanent and 3-Year Fixed-Term Contracts
opportunities to drive the development of innovative machine learning
methods for structure-based drug discovery. In this role, you will
contribute to advancing computational tools that impact the design and
optimisation of novel therapeutics.</p>

<p class="pagebody">
You will work with one of the largest and most comprehensive internal
structural datasets in the industryour extensive collection of
proprietary protein-ligand complexesdeveloping and applying cutting-edge
AI techniques, including co-folding, to unlock new insights and
capabilities in molecular modelling and virtual screening. This is a
collaborative opportunity to push the boundaries of ML within drug
discovery, working alongside multidisciplinary teams across computational
chemistry, structural biology, and data science.</p>

<p class="pagebody">
<b>Responsibilities:</b></p>


<ul class="pagebody">
<li>Design and implement ML models for structure-based design, including
protein-ligand interaction modelling and co-folding applications.</li>

<li>Develop and extend AI approaches that integrate structural and chemical
data to improve virtual screening and molecular design workflows.</li>

<li>Leverage Astexs world-leading proprietary structural datasets to train,
benchmark, and validate new algorithms.</li>

<li>Collaborate closely with cross-functional teams to ensure effective
translation of research into production-ready solutions.</li>
</ul>
<p class="pagebody">
<b>Profile and Skills:</b></p>
<ul class="pagebody">

<li>PhD or equivalent experience in a technical discipline (e.g., computer
science, chemistry, physics, engineering).</li>

<li>Strong background in machine learning, including experience with deep
learning and/or generative models.</li>
<li>Proficiency with modern ML frameworks (e.g., PyTorch, TensorFlow, or
JAX).</li>

<li>Strong coding skills (e.g., Python, C++) and a collaborative mindset.</li>

<li>Familiarity with protein structure modelling, co-folding, or related
structure-based methods, along with a working knowledge of organic
chemistry would be desirable.</li>
</ul>

<p class="pagebody">
<b>Why Astex</b><br />
We offer excellent training and career development opportunities as well
as highly competitive salary and benefits package including hybrid working
options to promote a flexible and inclusive work environment.<br />

The company is situated 2.5 miles from Cambridge City centre. Cambridge
Science Park has onsite sports facilities and excellent transport links to
London.<br />

At Astex we embrace diversity and equality of opportunity. We are
committed to building an inclusive and diverse Company representing all
backgrounds, harnessing industry-leading scientific innovation and behaviours.
<br />&nbsp;
</p>

<p class="pagebody">
<b>More Information</b><br />
For information on Astex Pharmaceuticals please visit: 
<a href="https://www.astx.com" target="_blank">www.astx.com</a><br />

For information on Otsuka Pharmaceuticals please visit:
<a href="https://www.otsuka.co.jp" target="_blank">www.otsuka.co.jp</a>
</p>

<p class="pagebody">
<b>Application Information </b><br />
To apply, please visit our recruitment website and submit your application
before the closing date.<br />
&nbsp;
<br />
Machine Learning Scientists/Engineers<br />
To apply on-line go to:
<a href="https://www.cloudonlinerecruitment.co.uk/Astex/VacancyDetails.aspx?FromSearch=True&MenuID=&VacancyID=78"
target="_blank">https://www.cloudonlinerecruitment.co.uk/Astex/VacancyDetails.aspx?FromSearch=True&MenuID=&VacancyID=78</a>

The role closes on: 30 April 2025<br />
</p>
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