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About the role
<p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2"><br>About </span><span data-ccp-parastyle="heading 2">QuantHealth</span></span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"134245418":true,"134245529":true,"335559738":299,"335559739":299}"> </span></p>
<p><span data-contrast="auto">QuantHealth is a growing AI startup in the clinical trial space, leveraging AI, biomedical data, knowledge graphs, and real-world patient data to simulate and optimize clinical trials for pharmaceutical companies. </span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p>
<p><span data-contrast="auto">Our platform helps customers simulate clinical trials, reduce development risk and cost, shorten timelines, and improve the probability of clinical trial success.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p>
<p><span data-ccp-props="{}"> </span></p>
<p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">About the Role</span></span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"134245418":true,"134245529":true,"335559738":299,"335559739":299}"> </span></p>
<p><span data-contrast="auto">As a Clinical Informatics Scientist in the Clinical Informatics team (R&D), you will play a central role in translating complex clinical and biomedical concepts into robust, computable data representations that power QuantHealth’s clinical simulation platform.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p>
<p><span data-contrast="auto">This role sits at the intersection of clinical science, real-world data (RWD), and applied analytics. You will work closely with clinical data scientists, delivery teams, and data engineers to construct clinically valid indication definitions, engineer disease- and treatment-specific features, and develop scalable cohort logic, phenotype libraries, and reusable indication frameworks that power QuantHealth’s simulation and retrospective analysis platform.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p>
<p><span data-contrast="auto">The ideal candidate combines strong clinical understanding with hands-on technical and analytical capabilities. You should be comfortable working with large clinical datasets, developing analytical workflows, and writing analytical code, validating clinical assumptions against real-world data, and translating clinical protocols into structured computational logic.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p>
<p><span data-contrast="auto">This position is especially well suited for clinically trained professionals with experience working with EHR/RWD datasets and strong interest in data-driven clinical research, clinical informatics, and AI-enabled healthcare systems. The role requires strong clinical judgment and the ability to operate effectively in ambiguous and imperfect real-world data environments.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p>
<p><span data-contrast="auto">As the Clinical Informatics organization grows, team members will have opportunities to deepen therapeutic area expertise and evolve into domain-focused scientific leadership roles, including therapeutic area lead and principal-level positions.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p>
<p><span data-ccp-props="{}"> </span></p>
<p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">Responsibilities</span></span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"134245418":true,"134245529":true,"335559738":299,"335559739":299}"> </span></p>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Develop clinically valid indication and cohort definitions using real-world clinical data sources, including EHR, claims, registry, and clinical trial datasets.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Translate clinical trial protocols, eligibility criteria, endpoints, and study designs into computable cohort logic and structured analytical definitions.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Engineer and validate disease-specific and treatment-specific clinical features, surrogate endpoints, and progression markers across multiple therapeutic areas.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Construct and validate longitudinal clinical concepts such as oncology lines of therapy, disease progression endpoints, treatment sequencing, and retrospective outcome measures.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto">Design and maintain reusable indication frameworks, phenotype definitions, and disease-specific clinical logic that support scalable clinical simulation and retrospective analysis workflows.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="6" data-aria-level="1"><span data-contrast="auto">Develop standardized clinical feature libraries, progression definitions, and phenotype logic across therapeutic areas.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1"><span data-contrast="auto">Develop and maintain analytical workflows and datasets supporting QuantHealth’s simulation and retrospective analysis pipelines.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="8" data-aria-level="1"><span data-contrast="auto">Query, analyze, and validate large-scale clinical datasets using Python, SQL, and modern analytical tooling.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="9" data-aria-level="1"><span data-contrast="auto">Collaborate closely with clinical data scientists, delivery teams, and data engineers to ensure clinical consistency, reproducibility, and scalability of data products.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="10" data-aria-level="1"><span data-contrast="auto">Validate clinical assumptions and engineered features against literature, clinical guidelines, and real-world evidence.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="11" data-aria-level="1"><span data-contrast="auto">Support quality assurance and clinical validation processes for internal and customer-facing analyses.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="12" data-aria-level="1"><span data-contrast="auto">Contribute to the evolution of QuantHealth’s internal clinical knowledge infrastructure and reusable clinical informatics assets.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="13" data-aria-level="1"><span data-contrast="auto">Leverage modern AI and LLM-based tools to improve clinical data curation, protocol interpretation, and knowledge extraction workflows.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<p><span data-ccp-props="{}"> </span></p>
<p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">Qualifications</span></span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"134245418":true,"134245529":true,"335559738":299,"335559739":299}"> </span></p>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">MD, PhD, PharmD, MSc, MPH, RN, or equivalent degree in clinical informatics, epidemiology, life sciences, biomedical sciences, pharmacy, nursing, public health, or a related clinical or quantitative discipline.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">2+ years of hands-on experience working with real-world healthcare data, EHR data, clinical analytics, clinical informatics, or data-driven healthcare research.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Practical experience working with clinical datasets and translating clinical concepts into structured analytical definitions.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Hands-on experience using Python and SQL for clinical data analysis and data manipulation.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto">Strong understanding of clinical trial design, inclusion/exclusion criteria, endpoints, and longitudinal patient data.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="6" data-aria-level="1"><span data-contrast="auto">Experience developing or validating cohort definitions, phenotypes, progression endpoints, or retrospective clinical features.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1"><span data-contrast="auto">Familiarity with statistical concepts, observational analyses, and clinical data validation methodologies.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="8" data-aria-level="1"><span data-contrast="auto">Ability to independently investigate clinical questions using both data and scientific literature.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="9" data-aria-level="1"><span data-contrast="auto">Strong analytical thinking, attention to detail, and scientific rigor.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="10" data-aria-level="1"><span data-contrast="auto">Excellent collaboration and communication skills in cross-functional clinical and technical environments.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<p><span data-ccp-props="{}"> </span></p>
<p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">Strong Advantages</span></span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"134245418":true,"134245529":true,"335559738":299,"335559739":299}"> </span></p>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Experience working with oncology, immunology & inflammation (I&I), cardiometabolic, or neurology datasets and clinical concepts.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Experience working with large-scale RWD/EHR environments and distributed data systems.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Experience with ETL pipelines, clinical data modeling, or healthcare ontologies and vocabularies.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Familiarity with Spark, dashboarding tools, or cloud-based analytics environments.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto">Experience leveraging LLMs or AI-assisted workflows for clinical data interpretation or curation.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="6" data-aria-level="1"><span data-contrast="auto">Understanding of healthcare coding systems and clinical vocabularies such as ICD, SNOMED, RxNorm, LOINC, or OMOP.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1"><span data-contrast="auto">Experience in pharma, biotech, healthcare analytics, hospital informatics, HMOs, CROs, or clinical research organizations.</span><span data-ccp-props="{"134233117":false,"134233118":false,"134233279":false,"335559738":60,"335559739":0}"> </span></li>
</ul>
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