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Senior Research Statistician

precisionaq · Remote, United Kingdom · Remote (UK)
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<p><span data-contrast="auto">We are growing and seeking a Senior Research Scientist (Statistician) to join our Evidence Synthesis and Decision Modelling team. You will collaborate with a highly specialized team of statisticians, health economists, and researchers on global projects supporting evidence generation, comparative effectiveness research, health technology assessment (HTA), and decision-making for pharmaceutical and biotechnology clients.</span><span data-ccp-props="{}"> </span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 1">About You</span></span></strong><span data-ccp-props="{"134245418":true,"134245529":true,"335559738":480,"335559739":0}"> </span></p> <p><span data-contrast="auto">Experienced Quantitative Researcher: You have a background in statistics, biostatistics, epidemiology, health economics, data science, or a related quantitative discipline, along with experience applying statistical methods in healthcare, life sciences, or outcomes research.</span><span data-ccp-props="{}"> </span></p> <p><span data-contrast="auto">Evidence Synthesis and Statistical Methods Experience: You have experience planning, conducting, and reporting analyses that support evidence synthesis and comparative effectiveness research. You can critically assess clinical evidence, evaluate methodological assumptions, identify evidence gaps, and apply appropriate analytical methods to address complex research questions. Experience with indirect treatment comparison methodologies and analyses involving aggregate and/or individual patient-level data is desirable.</span><span data-ccp-props="{}"> </span></p> <p><span data-contrast="auto">Technical Proficiency: You demonstrate strong statistical programming skills, particularly in R, and experience developing reproducible analytical workflows. You are comfortable working with complex datasets and applying a range of statistical methodologies appropriate to the research question.</span><span data-ccp-props="{}"> </span></p> <p><span data-contrast="auto">Deliverable Creation: You contribute to client-ready deliverables including analysis plans, technical reports, presentations, manuscripts, and conference materials, and can communicate findings to both technical and non-technical audiences.</span><span data-ccp-props="{}"> </span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 1">Key Responsibilities</span></span></strong><span data-ccp-props="{"134245418":true,"134245529":true,"335559738":480,"335559739":0}"> </span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"singleLevel"}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Lead and deliver statistical analyses supporting evidence generation, comparative </span><span data-ccp-parastyle="List Bullet">effectiveness</span><span data-ccp-parastyle="List Bullet"> research, and healthcare decision-making projects.</span></span><span data-ccp-props="{}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"singleLevel"}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Design and implement fit-for-purpose analytical approaches that address client </span><span data-ccp-parastyle="List Bullet">objectives</span><span data-ccp-parastyle="List Bullet"> and research questions.</span></span><span data-ccp-props="{}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"singleLevel"}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Conduct statistical analyses and develop reproducible analytical workflows using R.</span></span><span data-ccp-props="{}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"singleLevel"}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Lead analytical workstreams and contribute to project planning, delivery, and quality assurance activities.</span></span><span data-ccp-props="{}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"singleLevel"}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Interpret and communicate complex analytical findings to technical and non-technical audiences.</span></span><span data-ccp-props="{}"> </span></

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