biology jobs in Ealing

The Genomic and Observational Data Sciences team within the Humana Genetics and Computational Biology (HGCB) organisation is seeking a program manager to facilitate agile project management, decision-making, and participation in the advancement of HGCB data strategy and

plus: - M D, PhD or PharmD degree valuable but not required - Thorough understanding of the disease, the underlying biology and potential therapeutic targets as well as current and future potential treatment options - Robust knowledge of ICH and GCP guidelines, regulatory

clinical drug development with an understanding of the disease, the underlying biology and potential therapeutic targets as well as current and future potential treatment optionsWhy GSK?Our values and expectations are at the heart of everything we do and form an important

Computational Biology Senior Director in OncologyUK or USAre you energized by a global R&D oncology leadership role that requires strategic thinking, driving real change and extensive internal and external engagement? If so, this Computational Biology Senior Director

longer.Apprenticeships at GSKWe have a variety of different Apprenticeship programmes in our sites across the UK. These include roles in Engineering, Manufacturing, Data Science, Biology, Chemistry, Supply Chain and more. Find out more about our UK Apprenticeship programme here: By

Future Leaders Graduate Programme – Environmental Health Safety & Sustainability (EHSS)Education required: BSc degree in Science-related discipline e.g. Biology, Chemistry, Engineering, Geography, Occupational Hygiene preferred (Modules may include - Ergonomics, risk

advanced antibody and protein engineering platforms and performing high-throughput pharmacological and biophysical screens. You will be leveraging state-of-the art structural biology as well as working with computational modelling experts, data scientists and data engineers to

analyses. These key roles will help set the stage for the company’s future, by working across all of GSK Pharma and Vaccines R&D with our Human Genetics, Functional Genomics, Chemical Biology, Protein & Structural Sciences, Biopharm Discovery and Development, Cell & Gene Therapy

Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Computational Biology, Computational Chemistry or related quantitative field)Preferred QualificationsIf you have the following characteristics, it would be a plus:Experience with at least one Deep

techniques to stakeholders and be able to defend and explain the rationale to stakeholders.Connect and collaborate with subject matter experts in biology, chemistry, and medicine and offer, challenge, and solicit advice via peer review to enhance quality, share best

The Systems Modeling and Translational Biology (SMTB) department is seeking Quantitative Systems Pharmacology (QSP) Engineer at Scientific Leader/Associate Director level, passionate about using advanced mathematical modeling linked with artificial intelligence and machine

The Systems Modeling and Translational Biology (SMTB) department is seeking Quantitative Systems Pharmacology (QSP) Engineer at Principal Investigator level, passionate about using advanced mathematical modeling linked with artificial intelligence and machine learning

, and implement well decoupled, modularized, reusable, and scalable deep learning training and inference pipelines.Work closely with experts in biology and clinical teams to ensure fit-for-purpose user interfaces and data pipelines.Deliver robust, fully tested, and performant

, Bioinformatics, Statistics, immunogenomics, systems immunology, Computational Biology or equivalent.Three years relevant scientific experienceDemonstrated proficiency including publications in one or more of the following areas:bio-informatics and genomics (including single

-CMC to ensure completion of appropriate documentation and maintenance of high quality standards.Why you?Basic Qualifications:Ph.D. or M.S. in chemistry, biology, biochemistry, or related technical discipline.Minimum of 7 years (for Ph.D.) or 11 years (for M.S.) of

their data science skills.Connect and collaborate with subject matter experts in biology, chemistry, and medicine and offer and solicit advice via peer review to enhance quality, share best practices and embed innovation.Why you?Basic Qualifications:We are looking for

life cycle, including requirements engineering, software design, implementation, testing, integration and maintenance.Deliver robust, tested and performant code in an agile development environment.Liaise with experts in biology, medicine and experimentation to ensure fit-for

analyses. These key roles will help set the stage for the company’s future, by working across all of GSK Pharma and Vaccines R&D with our Human Genetics, Functional Genomics, Chemical Biology, Protein & Structural Sciences, Biopharm Discovery and Development, Cell & Gene Therapy

Biology, Bioinformatics, Engineering, among others); OR equivalent additional work experience delivering state-of-the-art AI/ML solutions.Highly experienced in AI/ML engineering with an established track record of successful delivery of state-of-the-art AI/ML solutionsExperience

software.Track record of contributing to open source projectsMentality of commit early and often, metrics before models, and shipping high-quality production codeKnowledge in disease biology, molecular biology and biochemistryKnowledge and experience in pathology

subject matter experts in biology, chemistry, and medicine and offer, challenge, and solicit advice via peer review to enhance quality, share best practices and embed innovation.Why you?Basic Qualifications:We are looking for professionals with these required skills to achieve

transparently.Basic Qualifications:A degree in a quantitative or engineering discipline (e.g. Computer Science, Computational Biology, Bioinformatics, Engineering, among others); OR equivalent work experience as a professional software engineer5+ years experience of professional

required skills to achieve our goals:PhD in Data and Computer Sciences, Complex Systems, Mathematics and Physics, Chemical or Biological and Systems Engineering, Bioinformatics, immunogenomics, systems immunology, Computational Biology or equivalent.Eight years of relevant

nonlinear regression, repeated measures, machine learning algorithms, analysis of high-dimensional data as found in genomics analyses.Knowledge of genomics technologies, proteomics, imaging, disease biology; assay development; development of cellular, human tissue, and animal

Are you energized by the challenge of shaping and accelerating the scientific expertise of a biology program? If so, this r opportunity could be an exciting opportunity to consider. The person is expected to provide mathematical modelling support for drug substance process

from your universityto show you will be an undergraduate student for the duration of the placement year and they are supportive of your placement.Must be undertaking a Life Sciences degree in a Biology/Chemistry/Pharmacology related field.Locations:Ware, StevenageDuration:1

GSK Undergraduate Industrial Placement Job Title:QualityIndustrial Placement, UK 2022Degree Requirements:Must bestudying an undergraduate degreein Chemistry, Biology, Pharmacy or Pharmacology.You will have completed a minimum of 2 years of your undergraduate degree but will

for clinical studiesScientific understanding and hands-on experience of molecular biology related analysis tools (qPCR, NGS library preparation, RNAseq, etc.)Handling of human biological samples and performing experimental work in accordance with GLP/GCP, safety and data

data flows and data products in collaboration with key stakeholder groups across GSK. The overall aim of the DSaP team is to identify data needs and swiftly translate these into data flows and knowledge base products to support target biology, translational research and

PharmDSignificant experience in clinical drug development with an understanding of the hepatology disease space, the underlying biology, and potential therapeutic targets, as well as current and future potential treatment optionsSignificant clinical research experience

understanding of the disease, the underlying biology and potential therapeutic targets as well as current and future potential treatment optionsSolid understanding of needs and priorities of regulators, payers and prescribers in relevant market(s)

plus:Deep understanding and experience working in the Cell Therapy field and engineered T -cells (TCR-T/ CAR-T cells)Experience in high-impact contributions to biomarker discovery and/or assay developmentExperience in Correlative ScienceDeep knowledge of immuno-oncology biology

management.Preferred Qualifications: If you have the following characteristics, it would be a plus:Ph.D. or MS in analytical chemistry, biology, biochemistry, or biochemical/bioprocess engineering or related technical.10 years of biopharmaceutical analytical experience with recombinant

interpretation of data (clinical and non-clinical) that can impact patient safety and clinical efficacy.Your ability to matrix cooperatively with the broader GSK organisation, including the Discovery Medicine group, Biology, Value Evidence and Outcomes and Commercial, as well as

need to make to support you throughout our selection process.Thank you for your interest in this opportunity.Why you?Basic Qualifications: In this role you will require a bachelor degree (or equivalent) within a relevant subject such as biology, pharmacy, chemistry or a related

patients as part of a supply chain which supplies patients all over the globe. Degree Requirements: Must be studying an undergraduate degree in Chemistry, Biology, Pharmacy or Pharmacology. You will have completed a minimum of 2 years of your undergraduate degree but will not

degree such as PhD in Applied Mathematics, Engineering, Pharmaceutical Sciences, Systems Biology, or related disciplines with strong background in the application of mathematical and statistical methodsDeep understanding of theory, principles, and statistical aspects of

covers scientific as well as regulatory expertise:Scientific includes medicine, biology, infectious diseases, immunology, clinical trials management, statistics, epidemiology, technical and non-clinical.Regulatory includes extensive knowledge of cGMP, ICH, QA/Q and product

time.Up to date knowledge and deep understanding of major molecular and genomic assay technologies and platformsDeep knowledge of immuno-oncology biology, biomarker strategies and application to clinical trials.Knowledge and track-record of working to GCP principlesHaving a strong

understanding of the disease, the underlying biology and potential therapeutic targets as well as current and future potential treatment optionsMedical degree with clinical and/or clinical development experience in hepatitis B