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Sygnature Discovery

Senior Scientist / Lead Scientist (Computational Chemistry)

Nottingham
Posted about 24 hours ago
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About Sygnature Discovery

At Sygnature Discovery, we create exceptional scientific outcomes. For our customers, who bring life-changing medicines to patients; and for our people, who help make this possible.

We’re 700+ scientists from over 50 countries, working as one across Europe and North America. With no competing internal programs, we offer total confidentiality and commitment.

Over the past 20 years, we’ve earned a track record of real impact: 60+ advanced candidates, 250 patents filed, 200+ active projects. Over 90% of our customers choose to stay with us – from biotechs racing to clinic to pharma companies that need specialised expertise for targeted challenges.

About The Role

We have exciting opportunities for experienced Computational Chemists to join our Computational Chemistry group at both Alderley Park and Nottingham. These are hybrid roles, with an expectation to be on site 3- 4 times per week.

Our Computational Chemists play a pivotal role in driving cutting-edge research, utilising the latest scientific software and cloud-based technology to solve complex challenges for clients worldwide.

As an experienced Computational Chemist, you will bring broad expertise in drug discovery and compound design. These are project-driven roles, and you will be able to demonstrate your experience having worked on numerous drug discovery projects across multiple target families. This will include virtual screening and lead identification, hit to lead and lead optimisation projects.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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This is an incredible opportunity to join a world-leading CRO, where you will collaborate on high-impact projects for top-tier clients while advancing your career in a dynamic and innovative environment.

Role Responsibilities

  • Work on integrated drug discovery projects with some of the most high-profile global biotech and pharma companies.
  • Demonstrate experience and expertise in applying the latest generative AI and ML techniques in drug design.
  • Apply new and emerging free energy methods on projects datasets.
  • Be involved with a range of the new modalities such as protacs, molecular glues, macrocycles and other beyond rule of 5 compounds.
  • Be involved in the validation and testing of new technology for drug design.
  • Demonstrate scientific leadership in the application of new and emerging technologies.
  • Create convincing case studies in and around the use of new technology.
  • Contribute to proposal writing for the business development process.
  • Be part of and integrate into a large global group at the forefront of applying new software and techniques to drug discovery projects.

Skills & Qualifications

  • 2 to 3 years of experience working in Computational Chemistry.
  • A PhD in computational chemistry or Chemistry.
  • Strong and convincing presentation skills.
  • Experience in working on numerous structure-based design projects and familiar with this approach to optimise ligand binding.
  • Substantial experience of ligand-based design including development of ML or QSAR models. This would include core/fragment replacement work and focussed library design.
  • Familiarity with SAR analysis of project data sets and calculation of ADME/Tox relevant properties.
  • Carried out virtual screening, either using protein x-ray structures or a ligand-based method.
  • Protein modelling experience including co-folding techniques, multiple sequence alignment and homology modelling across numerous protein classes.
  • Familiarity with data pipelining tools and an ability to script in python is preferred.

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Benefits

  • 🌴 25 days annual leave (plus bank holidays)
  • 🏥 Private Medical Insurance
  • 🛡️ Life Insurance
  • 🎯 Employee Assistance Programme
  • ⚖️ Enhanced Family Friendly Policies
  • 💰 Sygnature Group Pension Scheme
  • 💚 1 paid volunteer day per year

Please note: This advert may close early if we receive a high volume of applications. We encourage you to submit your application as soon as possible to avoid missing out on this opportunity.

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Skills

Computational Chemistry
Drug Discovery
Generative AI
Machine Learning
Free Energy Methods
Virtual Screening
Structure-Based Design
Ligand-Based Design
QSAR Models
SAR Analysis
Protein Modelling
Python
ADME/Tox Calculation
Homology Modelling
Data Pipelining
Proposal Writing

Location

Nottingham, England, United Kingdom

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