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Senior Software Engineer (AI/ML) (PhD / Postdoc)

at Truveta

Hyderabad, India Intern Posted 2026-05-04

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About this role

<p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 3">About Truveta</span></span></strong><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:246,&quot;335559739&quot;:246,&quot;335559740&quot;:278}">&nbsp;</span></p> <p><span data-contrast="none">Truveta provides&nbsp;unprecedented real-world data and real-time intelligence, powered by a dataset built with and owned by US health systems united in a mission of Saving Lives with Data. Together, we power breakthrough&nbsp;medical&nbsp;discoveries, accelerate regulatory-grade evidence, and improve patient care.&nbsp;Today, Truveta&nbsp;enables research on more than 130 million&nbsp;de-identified&nbsp;patients across the US.&nbsp;&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559740&quot;:240}">&nbsp;</span></p> <p><span data-contrast="auto">Achieving Truveta’s ambitious&nbsp;mission&nbsp;requires&nbsp;an incredible team of talented and inspired people with a special combination of health, software and big data experience who share&nbsp;our </span><a href="https://www.truveta.com/careers/"><span data-contrast="none"><span data-ccp-charstyle="Hyperlink">company values</span></span></a><span data-contrast="auto">.&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:278}">&nbsp;</span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 3">The Role</span></span></strong><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:246,&quot;335559739&quot;:246,&quot;335559740&quot;:278}">&nbsp;</span></p> <p><span data-contrast="auto">We are&nbsp;seeking&nbsp;a highly motivated&nbsp;</span><strong><span data-contrast="auto">Postdoctoral Researcher</span></strong><span data-contrast="auto">&nbsp;to explore and develop novel applications of&nbsp;cutting-edge&nbsp;AI/ML technologies on large-scale real-world clinical data.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:210,&quot;335559739&quot;:210,&quot;335559740&quot;:278}">&nbsp;</span></p> <p><span data-contrast="auto">This role is designed for recent PhD graduates who are passionate about pushing the boundaries of machine learning in healthcare. You will work at the intersection of&nbsp;</span><strong><span data-contrast="auto">machine learning, clinical data, and biomedical science</span></strong><span data-contrast="auto">,&nbsp;identifying&nbsp;new opportunities where modern AI can unlock insights that were previously out of reach.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:210,&quot;335559739&quot;:210,&quot;335559740&quot;:278}">&nbsp;</span></p> <p><span data-contrast="auto">A key expectation is not just execution—but&nbsp;</span><strong><span data-contrast="auto">imagination</span></strong><span data-contrast="auto">: the ability to envision and prototype entirely new ways to use rich patient data to solve meaningful healthcare problems.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:210,&quot;335559739&quot;:210,&quot;335559740&quot;:278}">&nbsp;</span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 3">What&nbsp;</span><span data-ccp-parastyle="heading 3">You’ll</span><span data-ccp-parastyle="heading 3">&nbsp;Do</span></span></strong><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:246,&quot;335559739&quot;:246,&quot;335559740&quot;:278}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="11" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Innovate:&nbsp;Identify&nbsp;and propose novel, high-impact applications of AI/ML using large-scale EHR data</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559737&quot;:0,&quot;335559738&quot;:210,&quot;335559739&quot;:210,&quot;335559740&quot;:278}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="11" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Research &amp; Prototype:&nbsp;Design, develop, and evaluate&nbsp;state-of-the-art&nbsp;models (e.g., foundation models, multimodal learning, causal ML, generative AI)</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559737&quot;:0,&quot;335559738&quot;:210,&quot;335559739&quot;:210,&quot;335559740&quot;:278}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="11" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Work Across Modalities:&nbsp;Integrate structured and unstructured EHR data with emerging data types such as genomics, imaging, and clinical notes</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559737&quot;:0,&quot;335559738&quot;:210,&quot;335559739&quot;:210,&quot;335559740&quot;:278}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="11" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Collaborate Cross-Functionally:&nbsp;Partner with clinicians, data scientists, and product teams to translate research ideas into real-world solutions</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559737&quot;:0,&quot;335559738&quot;:210,&quot;335559739&quot;:210,&quot;335559740&quot;:278}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="11" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto">Publish &amp; Share:&nbsp;Contribute to top-tier conferences/journals and represent Truveta in the research community</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559737&quot;:0,&quot;335559738&quot;:210,&quot;335559739&quot;:210,&quot;335559740&quot;:278}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="11" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="6" data-aria-level="1"><span data-contrast="auto">Explore the Unknown:&nbsp;Proactively&nbsp;identify&nbsp;problems that have not yet been addressed and define new research directions</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559737&quot;:0,&quot;335559738&quot;:210,&quot;335559739&quot;:210,&quot;335559740&quot;:278}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 3">What&nbsp;</span><span data-ccp-parastyle="heading 3">We’re</span><span data-ccp-parastyle="heading 3">&nbsp;Looking For</span></span></strong><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:246,&quot;335559739&quot;:246,&quot;335559740&quot;:278}">&nbsp;</span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 3">Minimum Qualifications</span></span></strong><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:246,&quot;335559739&quot;:246,&quot;335559740&quot;:278}">&nbsp;</span></p> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="6" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;·&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">PhD in Computer Science, Machine Learning, Biomedical Informatics, or a related field</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559685&quot;:720,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:278,&quot;335559991&quot;:360}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="6" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;·&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Strong background in machine learning, deep learning, or statistical modeling</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559685&quot;:720,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:278,&quot;335559991&quot;:360}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="6" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;·&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Experience applying ML to healthcare, biomedical, or clinical datasets</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559685&quot;:720,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:278,&quot;335559991&quot;:360}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="6" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;·&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Proficiency&nbsp;in Python and modern ML frameworks (e.g.,&nbsp;PyTorch, TensorFlow)</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559685&quot;:720,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:278,&quot;335559991&quot;:360}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 3">Preferred Qualifications</span></span></strong><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:246,&quot;335559739&quot;:246,&quot;335559740&quot;:278}">&nbsp;</span></p> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="7" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;·&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Experience with healthcare data (EHRs, claims, clinical notes) or biomedical data (genomics, imaging)</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559685&quot;:720,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:278,&quot;335559991&quot;:360}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="7" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;·&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Familiarity with&nbsp;cutting-edge&nbsp;areas such as:&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559685&quot;:720,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:278,&quot;335559991&quot;:360}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="o" data-font="Symbol" data-listid="7" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:1440,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[9675],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;o&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="2"><span data-contrast="auto">Foundation models / LLMs in healthcare</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559685&quot;:1440,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:278,&quot;335559991&quot;:360}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="o" data-font="Symbol" data-listid="7" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:1440,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[9675],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;o&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="2" data-aria-level="2"><span data-contrast="auto">Multimodal learning</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559685&quot;:1440,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:278,&quot;335559991&quot;:360}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="o" data-font="Symbol" data-listid="7" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:1440,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[9675],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;o&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="3" data-aria-level="2"><span data-contrast="auto">Causal inference</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559685&quot;:1440,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:278,&quot;335559991&quot;:360}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="o" data-font="Symbol" data-listid="7" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:1440,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[9675],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;o&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="4" data-aria-level="2"><span data-contrast="auto">Representation learning on longitudinal data</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559685&quot;:1440,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:278,&quot;335559991&quot;:360}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="7" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;·&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Track record&nbsp;of publications in top-tier ML or healthcare venues (e.g.,&nbsp;NeurIPS, ICML, ICLR, MLHC, AMIA)</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559685&quot;:720,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:278,&quot;335559991&quot;:360}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="7" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;·&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Ability to work across disciplines and communicate with both technical and clinical stakeholders</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559685&quot;:720,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:278,&quot;335559991&quot;:360}">&nbsp;</span></li> </ul> <p><span data-contrast="auto">&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:278}">&nbsp;</span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 3">Who You Are</span></span></strong><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:246,&quot;335559739&quot;:246,&quot;335559740&quot;:278}">&nbsp;</span></p> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="8" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;·&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="auto">Curious and imaginative:</span></strong><span data-contrast="auto">&nbsp;You naturally think beyond existing solutions and&nbsp;ask&nbsp;“what hasn’t been done yet?”</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559685&quot;:720,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:278,&quot;335559991&quot;:360}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="8" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;·&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><strong><span data-contrast="auto">Impact-driven:</span></strong><span data-contrast="auto">&nbsp;You care about applying research to real-world healthcare problems</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559685&quot;:720,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:278,&quot;335559991&quot;:360}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="8" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;·&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="3" data-aria-level="1"><strong><span data-contrast="auto">Comfortable with ambiguity:</span></strong><span data-contrast="auto">&nbsp;You thrive in open-ended environments where defining the problem is part of the job</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559685&quot;:720,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:278,&quot;335559991&quot;:360}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="8" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;·&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="4" data-aria-level="1"><strong><span data-contrast="auto">Collaborative:</span></strong><span data-contrast="auto">&nbsp;You enjoy working across domains and learning from experts in different fields</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559685&quot;:720,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:278,&quot;335559991&quot;:360}">&nbsp;</span></li> </ul> <p>&nbsp;</p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 3">Why This Role is Unique</span></span></strong><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:246,&quot;335559739&quot;:246,&quot;335559740&quot;:278}">&nbsp;</span></p> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="9" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;·&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Access to one of the largest and richest longitudinal EHR datasets in the US</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559685&quot;:720,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:278,&quot;335559991&quot;:360}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="9" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;·&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Opportunity to work on&nbsp;</span><strong><span data-contrast="auto">previously infeasible problems</span></strong><span data-contrast="auto">&nbsp;at the intersection of AI and medicine</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559685&quot;:720,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:278,&quot;335559991&quot;:360}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="9" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;·&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">A balance of&nbsp;</span><strong><span data-contrast="auto">academic-style research freedom</span></strong><span data-contrast="auto">&nbsp;and&nbsp;</span><strong><span data-contrast="auto">real-world impact</span></strong><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559685&quot;:720,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:278,&quot;335559991&quot;:360}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="9" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;·&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Collaboration with leading healthcare systems and industry partners</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559685&quot;:720,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:278,&quot;335559991&quot;:360}">&nbsp;</span></li> </ul> <p>&nbsp;</p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 3">Example Problem Areas (Illustrative)</span></span></strong><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:246,&quot;335559739&quot;:246,&quot;335559740&quot;:278}">&nbsp;</span></p> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="10" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;·&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Learning patient trajectories using foundation models for clinical decision support</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559685&quot;:720,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:278,&quot;335559991&quot;:360}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="10" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;·&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Discovering novel phenotypes or disease subtypes from multimodal data</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559685&quot;:720,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:278,&quot;335559991&quot;:360}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="10" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;·&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Predicting treatment effectiveness using causal ML on real-world data</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559685&quot;:720,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:278,&quot;335559991&quot;:360}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="10" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;·&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Generating synthetic cohorts for rare disease research</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559685&quot;:720,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:278,&quot;335559991&quot;:360}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="·" data-font="Symbol" data-listid="10" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559683&quot;:0,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;·&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto">Integrating genomics + EHR for precision medicine applications</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559685&quot;:720,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:278,&quot;335559991&quot;:360}">&nbsp;</span></li> </ul>

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