{"id":415847,"url":"https://alion.io/job/genomics-scientist","title":"Scientist","company":{"id":52323,"name":"Genomics","domain":"genomics.com","url":"https://alion.io/company/genomics-com","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":85,"open_postings":5,"ghost_share":0,"stale_share":0.4,"repost_share":0,"time_to_fill_p50_days":60,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Science & Research","role_family":"Science & Research","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":50000,"max_usd":93000,"period":"year","method":"role_country_seniority_unknown","sample_n":131},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-04-24T12:49:10Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-30T10:03:37Z","board_verified":true,"closed_at":null,"days_open":189,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":187},"description":"Location: Oxford or London (Hybrid)\nThe Mission: Why We Exist\nGenomics 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.\nGenomics 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.\nA Day in the Life\nAt Genomics, we tackle major scientific challenges in harnessing genomic data to improve human health.\nThis role is part of the Life Sciences team, working on a range of challenges spanning the therapeutic development cycle - including discovering and validating therapeutic targets and developing patient stratification strategies. The Scientist is an early-career member of the team, who will thrive in a highly collaborative team environment. With the team’s support, you will develop and execute innovative and rigorous scientific approaches, and will effectively communicate findings to both internal and external stakeholders.\nFor example, a Scientist may:\nGenerate novel therapeutic hypothesis for diseases with unmet need, mining the in-house data resources using statistical approaches to understand the causal pathophysiology of disease, identify and triage potential targets with genetic evidence, and build a rich understanding of the cell types, cellular function, tissue-level characteristics, patient populations and biomarkers needed to support a development program.\n\nApply and optimise risk tools for patient stratification that combine genetic information (through polygenic risk scores) with conventional risk factors, to find those individuals most at risk of disease onset or progression and those most likely to benefit from particular therapies.\n\nTo be successful in this role, you will: bring a strong foundation in the application of statistical and computational techniques in biomedical science that you can apply in innovative ways, thrive on analysing vast and diverse sources of ‘omic data using leading statistical or AI/ML approaches to make meaningful insights into complex problems, and take pride in effectively sharing your findings with others.\nWho You Are\nMust have, solid foundations in:\nStatistics (modelling, regression)\n\nGenetics and molecular biology\n\nStatistical programming (e.g., Python or R)\n\nPreferred:\nExperience using a broad array of statistical genetics approaches (e.g., GWAS, colocalization, fine-mapping, Mendelian randomization, polygenic risk scores)\n\nExperience defining phenotypes from electronic health records.\n\nKnowledge of Bayesian inference, high dimensional statistics, causal inference.\n\nExperience with software engineering practices (version control [Git & GitHub], testing, documentation, agentic coding, containerisation)\n\nExperience building and running reproducible pipelines e.g., using WDL, Snakemake, or NextFlow.\n\nExperience using cloud computing and trusted research environments e.g. DNAnexus or Verily Workbench.\n\nExperience with methods development within statistical genetics\n\nYour Package\nWe are committed to providing a transparent, supportive, and rewarding work environment.\nCompensation & Growth\nCompetitive Salary: Salaries are externally benchmarked annually to ensure competitive compensation.\n\nClear Career Path: A straightforward, open progression framework means you'll always know the path to promotion and how to achieve your next career goal.\n\nContinuous Learning: Including external courses and a wide library of L&D materials, because your growth is our success.\n\nWellbeing & Time Off\nHoliday: 25 days annual leave, plus bank holidays, plus an extra 3-day company-wide shutdown at year-end.\n\nFinancial & 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.\n\nEnhanced Leave: Enhanced paid family leave to support all new parents.\n\nWork Environment & Culture\nFlexible Working: Hybrid Working (e.g., From our London, Oxford Office)\n\nTruly 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.\n\nVibrant Social Culture: From regular Town Halls and team picnics to organised sports events, our social committee ensures frequent opportunities to connect and celebrate.\n\nGreen Commute: Cycle-to-Work scheme and convenient office locations near major transport hubs.\n\nReady to Build the Future?\nIf this opportunity excites you, apply now!\nWe 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.\nGenomics politely requests no contact from recruitment agencies. 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