Computational chemists & biologists Work, Jobs in Gidea Park, Gtl (with Salaries)

Scientist
Genomics —London
- Full-time
- Hybrid work
- Machine learning
- Python
- Annual leave
Feasibility Informatics Analyst
Medpace, Inc. —London
- Full-time
- Computer Science
- Engineering
- Master's degree
- Annual leave
Science Project Intern
Kew Gardens —Kew Gardens
- £25,579 a year
- Full-time
- University
- Annual leave
- Employee assistance programme
9d
Bioinformatics Data Scientist
Engitix —London
- AWS
- Machine learning
- Scripting
Quick apply
9d
Research Associate
Imperial College London —South Kensington
- £43,863 - £57,582 a year
- Full-time
- Doctoral degree
- University
- Machine learning
Software Developer - Biology
Helical —London
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Master's degree
Quick apply
Research Associate in Computational Biomolecular Physics
Imperial College London —South Kensington
- Full-time
- Doctoral degree
- Analysis skills
- University
2d
Sr Programmer-Sr Data Scientist/Analys Real-World Data (SAS/R)
サイネオス・ヘルス —London
- £80,600 - £175,700 a year
- English
- Bachelor's degree
- No degree
- Employee stock purchase plan
- Annual leave
Computational Chemist
ICR —Sutton
- £50,825 - £53,500 a year
- Doctoral degree
10d
Research Associate in AI-enhanced Molecular Dynamics to Study Antibiotic Accumulation in Bacteria
Imperial College London —White City
- £49,017 - £57,472 a year
- Full-time
- Doctoral degree
- University
- Machine learning
Associate Director, Statistical Programming
Novartis —London
- £67,900 - £126,100 a year
- Full-time
- Hybrid work
- Nursing
- Computer Science
- Organisational skills
AI Scientist
Mater-AI Limited —London
- £50,000 - £55,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Engineering
- English
Quick apply
10d
Senior Scientist
Genomics —London
- Full-time
- Hybrid work
- Python
- Annual leave
Sr Programmer Sr Data Scientist/Analyst OMOP (NA & UK Only)
サイネオス・ヘルス —London
- Master's degree
- SQL
- Machine learning
- Employee stock purchase plan
- Annual leave
R Statistical Programmer - Submission Experience Required (hiring in Armenia, UK, India, SA)
サイネオス・ヘルス —London
- English
- Bachelor's degree
- No degree
Research Fellow in Machine Learning for Self-Optimising Bioprocesses
University College London —London
- £43,981 - £52,586 a year
- Full-time
- Doctoral degree
- Machine learning
- Communication skills
7d
Career Development Fellow
UK Research and Innovation (UKRI) —London
- £42,694 a year
- Weekend availability
- Doctoral degree
- Computer Science
- Bachelor's degree
2d
Research Scientist, Protein Design, DeepMind
DeepMind —London
- Doctoral degree
- Laboratory experience
- Machine learning
7d
Senior Principal Statistical Programmer
Novartis —London
- £49,140 - £91,260 a year
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Bachelor's degree
Lecturer/Associate Professor in Artificial Intelligence and Computational Biosciences
University College London —London
- £54,931 - £76,244 a year
- Full-time
- Doctoral degree
- Machine learning
- AI
- Annual leave
- Employee assistance programme
1d

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Scientist

Genomics -
London

Apply Now

Job details

Full-time

Benefits

Annual leave
Company pension
Private medical insurance

Qualifications

R
Git
Docker
Machine learning
Distributed systems
Python

Full job description

Location: Oxford or London (Hybrid)

The Mission: Why We Exist

Genomics is a science-led transatlantic TechBio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative healthcare. We are united by a single vision to help people live longer healthier lives, using the power of genomics.

Genomics aims to help people live longer, healthier lives in two ways: super-charging drug discovery and development for novel treatments with our AI-enabled advanced genetic analytics platform, and by helping people understand their personal risk of common chronic diseases through polygenic risk scores - giving doctors and health systems the chance to get the right people into the right prevention, screening and treatment programmes at the right time.

A Day in the Life

As a Scientist, you'll drive innovation and collaboration, acting as a strategic consultant on high-impact projects with diverse external pharma and biotech partners. You’ll communicate insights effectively, helping to shape team direction and leading transformative initiatives across the discovery and development spectrum.

You will navigate across the entirety of the drug development pipeline, from target discovery and validation through to patient stratification. Utilizing a strategic approach and advanced statistical techniques, you will work closely with external collaborators to prioritize therapeutic targets, optimize clinical insights, and unveil new treatment possibilities.

Success here demands a robust grasp of statistical human genetics applied inventively in a partner-facing environment. You'll excel in unraveling complex genomic data and possess a knack for translating raw findings into actionable consulting insights, whilst working collectively with both your highly skilled internal team and external partners.

Who You Are

Experience performing foundational genetic association analyses (e.g. GWAS, burden) on large-scale biobank data in Trusted Research Environments (TREs) such as UK Biobank and All of Us.
Strong proficiency in R and/or Python for large-scale genomic analysis, with a commitment to clean, reproducible, well-documented code.
Experience with workflow tools (e.g. Nextflow), version control (Git), and HPC or cloud compute environments.
Nice to have: containerisation (Docker/Singularity), distributed computing frameworks, machine learning applied to genomics, or contributions to open-source scientific software.
Confident in engaging with a variety of stakeholders, contributing and supporting in the delivery of presentations to customers.

Your Package

We are committed to providing a transparent, supportive, and rewarding work environment.

Compensation & Growth

Competitive Salary: Salaries are externally benchmarked annually to ensure top-of-market compensation.
Clear Career Path: A straightforward, open progression framework means you'll always know the path to promotion and how to achieve your next career goal.
Continuous Learning: Including external courses and a wide library of L&D materials, because your growth is our success.

Wellbeing & Time Off

Holiday: 25 days annual leave, plus bank holidays, plus an extra 3-day company-wide shutdown at year-end.
Financial & Health Security: Robust benefits including a market-leading pension scheme, comprehensive private health insurance for you and your family with NO excess, critical illness, and life assurance.
Enhanced Leave: Enhanced paid family leave to support all new parents.

Work Environment & Culture

Flexible Working: Hybrid Working (e.g., From our London, Oxford Office)
Truly Inclusive Time Off: Our 'Bank Your Bank Holiday' program allows you to exchange public holidays for dates that hold personal or cultural significance to you.
Vibrant Social Culture: From regular Town Halls and team picnics to organised sports events, our social committee ensures frequent opportunities to connect and celebrate.
Green Commute: Cycle-to-Work scheme and convenient office locations near major transport hubs.

Ready to Build the Future?

If this opportunity excites you, apply now!

We are dedicated to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Genomics politely requests no contact from recruitment agencies. We do not accept speculative CVs from recruitment agencies nor accept the fees associated with them.

Apply Now

Refine Your Search

computational chemists & biologists jobs in gidea park, gtl

Scientist

Feasibility Informatics Analyst

Science Project Intern

Bioinformatics Data Scientist

Research Associate

Software Developer - Biology

Research Associate in Computational Biomolecular Physics

Sr Programmer-Sr Data Scientist/Analys Real-World Data (SAS/R)