From: jobs at ccl.net (do not send your application there!!!)
To: jobs at ccl.net
Date: Fri Oct 18 07:04:59 2024
Subject: 24.10.18 Lead Computational Chemist/Molecular Modeller
Pangea Bio discovers and develops transformative medicines to treat neurological disorders with
large unmet medical need. We deploy AI to discover promising molecules from natural sources,
such as plants, with evidence of safety and efficacy in humans based on traditional medicinal use.
Nature offers great potential to uncover novel medicines: 84% of central nervous system
small-molecule therapeutics are nature-inspired with less than 1% of nature's small molecules
having been mapped and explored.
Our lead R&D program focuses on the TrkB receptor pathway, which drives neuronal survival,
synaptic plasticity and reduces pathological protein aggregates. Our first candidate molecule
will enter clinical trials in 2025.
Pangea Bios AI engine enables us to study the therapeutic potential of novel bioactive chemistry
from the natural world at scale. In particular, our technology enables us to select therapeutically
relevant species, decode their chemical composition, and predict potential activity in the human
body, creating a scalable discovery engine to move from plant to hit compound.
Our team has a successful track record of founding and building neuroscience and technology
companies, including: COMPASS Pathways (Nasdaq: CMPS), GW Pharma (sale to Jazz), atai
(Nasdaq: ATAI) and Healx.
Due to an expanding portfolio of internal discovery projects as well as those run in partnership
with external companies we currently have a vacancy for a permanent and full-time
Lead Computational Chemist/Molecular Modeller, based in Berlin or London with flexibility for
hybrid working. The primary objective of the position is to execute, and in collaboration with the
team, further develop our proprietary data analysis workflows to both discover novel active
compounds as well as contribute to the advancement of our drug discovery portfolio to deliver
novel clinical candidates to treat a range of diseases.
**Responsibilities include (but are not limited to):**
- Understanding project requirements for the discovery of novel active ingredients in different
therapy areas, with a focus on CNS and dermatology
- Develop and apply both ligand-based/ML models for compound prioritization and optimisation,
as well as structure-based methods, with a focus on a holistic compound profile (including on-target
and off-target effects, as well as DMPK and physchem properties etc.)
- Collaborate with the project team (both internal to the company and with external parties) to
contribute to overall project goals, processes, and deliverables including delivery of new project
starting points and clinical candidates
- Executing, and with the wider AI team developing further, computational workflows for compound
selection according to use case definitions, based on both in-house and external datasets, models,
and methods
- Document work in written form, and present project results both internally and externally
- Stay abreast with new technological advancements and analyze them for potential inclusion in
our platform
- Dissemination of results, where appropriate, in the form of conference presentations and research
articles
**Required experience, skills**
- Qualification: Advanced degree in the life sciences (PhD preferred), or computer science (or related)
degree with in-depth understanding of chemical, biological, and pharmacological data
- Experience with and understanding of handling & analyzing chemical and biological data in academia
or industry
- Experience working in project teams to identify bioactive chemical matter with the desired properties
(e.g. in a drug discovery or consumer goods context, or also agrochemistry etc.)
- Experience in the development and application of both ligand-based/ML as well as structure-based
models and computational approaches (homology modelling, docking, MD, etc.) in the context of a
discovery project, across different stages, and from H2L to LO in particular
- Familiarity with Python, scikit-learn; chemical toolkits (e.g. RDKit); chemical workflow environments
(particularly KNIME); machine learning on chemical and biological data; and chemical databases
- Strong oral & written communication skills in English
This is an opportunity to join a fast-paced entrepreneurial environment, where you will have a
significant influence on company strategy and performance. The compensation package will include
base salary, options and benefits.
**How to apply**
If interested, please apply via our Bamboo HR system. You must have the right to work either in
Germany or the UK to apply for this role.
We aim to be an equal opportunities employer and we are determined to ensure that no applicant or
employee receives less favorable treatment on the grounds of gender, age, disability, religion, belief,
sexual orientation, marital status, or race, or is disadvantaged by conditions or requirements which
cannot be shown to be justifiable.
Please note:We are not accepting submissions from Recruitment Agencies for this position
any candidates submitted will not be accepted by or on behalf of Pangea Bio.
If interested, please apply via our Bamboo HR system:
https://pangeabio.bamboohr.com/careers/52?source=aWQ9MzY%3D
NOTE THAT E-MAIL ADDRESSES HAVE BEEN MODIFIED!!!
All @ signs were changed to [A] to fight spam. Before you send e-mail, you
need to change [A] to @
For example: change joe[A]big123comp.com to joe@big123comp.com
Please let your prospective employer know that you learned
about the job from the Computational Chemistry List Job Listing at
http://www.ccl.net/jobs.
If you are not interested in this particular position yourself, pass it to
someone who might be -- some day they may return the favor.