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    Precision Medicine- Sr Associate Scientist - Oxford, United Kingdom - Workday

    Workday
    Workday Oxford, United Kingdom

    3 weeks ago

    Workday background
    Description

    For Current Gilead Employees and Contractors:

    Please log onto your Internal Career Site to apply for this job.

    At Gilead we believe every employee deserves a great leader. As a people leader now or in the future, we expect that you will model and create an environment of inclusion, be intentionally focused on the hiring, development, growth and retention of talent, and empower teams to align and achieve goals.


    Job Description

    POSITION OVERVIEW:

    The Precision Medicine team at Gilead Oxford use advanced technologies to understand human disease and to support the development of novel antibody-based therapeutics. You will design, develop, and implement statistical, bioinformatics and advanced machine learning methods to aid in both the characterisation and design of antibodies as well as integrating large multi-modal datasets to derive quantitative biological insights to support their targeting to patient populations. You will develop efficient platforms to automate complex data analysis tasks, implement cutting-edge predictive approaches, and data visualization/modelling tools to promote efficiency of data-driven decision-making. You may also contribute to presentations and publications of findings both internally and externally.

    EXAMPLE RESPONSIBILITIES:

    • Design and implement pipelines for the analysis of antibody repertoire sequencing and use advanced methods to predict antibody function.
    • Implement advanced statistical approaches for the analysis of large omics data sets and cross-modality data integration (E.g. un/self-supervised machine learning methods, knowledge graphs)
    • Develop workflows for processing and analysing both in house and publicly available disease derived data sets, specifically bulk and single-cell transcriptomics and proteomics.
    • Designs and executes data analysis plans, communicates findings, and recommends follow-up actions in multiple settings, including one-to-ones, seminars, group, and project meetings.
    • Participates in development of team and department-level standards, tools, and templates.
    • Coordinates infrastructure requirements with the business and IT to support development of computational resources.
    • Develops data dashboards, visualizations, and analytical tools to improve visualization, integration, and accessibility of data for research colleagues.

    REQUIREMENTS:

    We are all different, yet we all use our unique contributions to serve patients. Please see the following for the qualifications and skills we seek for this role.

    Minimum Education & Experience

    • MS in data science, statistics, mathematics, bioinformatics, genomics, computer science or related discipline with 4+ years' bioinformatics, data science or related experience.
    • BS in data science, statistics, mathematics, bioinformatics, genomics, computer science or related discipline with 6+ years' bioinformatics, data science or related experience.
    • Significant experience working with antibody/BCR/TCR sequencing data and/or predictive antibody/protein modelling.
    • Significant experience working with a broad range of statistical methods, including machine learning methods.
    • Significant experience working with multi-omics and large-scale biological datasets.
    • Strong programming skills in key bioinformatics languages, e.g., R, Python, etc., with proven capabilities to manipulate large and sophisticated datasets.
    • Significant experience working with UNIX/cloud computing systems, data management systems, advanced statistical software, and visualization tools.
    • Strong proficiencies in problem-solving, bioinformatics or other data analytics algorithm design, genomic and proteomic technologies, and high throughput experimental techniques, e.g., next generation sequencing technologies, single cell technologies, and/or their applications.
    • A track record in publications within own field is preferred.

    Knowledge & Other Requirements

    • Demonstrated ability to be a fast learner.
    • Demonstrated ability to be flexible and adaptable to change, to move between projects easily and provide support/expertise where needed.
    • Proven analytical abilities with high attention-to-detail as demonstrated through past experiences and/or academic achievements, including statistical knowledge, such as probability theory, statistical power, univariate and/or multivariate analysis, unsupervised and supervised analysis, regression analysis, survival analysis, etc.
    • Proven ability to conduct effective and efficient exploratory analysis on large volumes of data and identify key descriptive and inferential properties.
    • Strong communication and organizational skills.
    • Ability to lead and influence programs, projects and / or initiatives.
    • When needed, ability to travel.

    Equal Employment Opportunity (EEO)

    It is the policy of Gilead Sciences, Inc. and its subsidiaries and affiliates (collectively "Gilead" or the "Company") to recruit select and employ the most qualified persons available for positions throughout the Company. Except if otherwise provided by applicable law, all employment actions relating to issues such as compensation, benefits, transfers, layoffs, returns from layoffs, company-sponsored training, education assistance, social and recreational programs are administered on a non-discriminatory basis (i.e. without regard to protected characteristics or prohibited grounds, which may include an individual's gender, race, color, national origin, ancestry, religion, creed, physical or mental disability, marital status, sexual orientation, medical condition, veteran status, and age, unless such protection is prohibited by federal, state, municipal, provincial, local or other applicable laws). Gilead also prohibits discrimination based on any other characteristics protected by applicable laws.


    For Current Gilead Employees and Contractors:

    Please log onto your Internal Career Site to apply for this job.

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