Post Doc - Open Rank

{
  "content_hash": "495b022f5b63fa98159f0f455f7d1c29aa2676b9b29f07b816a98d288f8df60d",
  "source_hash": "66fe0408ad0717350821df5b8c86933eb860678b06f0b9b9a26e6da8014b7fe7",
  "last_changed_at": "2026-06-14T08:21:07.576Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "Worcester, MA, US",
    "city": "Worcester",
    "region": "MA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.8
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-18T08:21:18.798Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Worcester, MA, US",
      "city": "Worcester",
      "region": "MA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.8
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": null,
  "salary_currency": null
}

{}

{
  "json_ld": {
    "url": "https://careers-umms.icims.com/jobs/49874/post-doc---open-rank/job",
    "@type": "JobPosting",
    "title": "Post Doc - Open Rank",
    "@context": "http://schema.org",
    "baseSalary": {
      "@type": "MonetaryAmount",
      "currency": "USD",
      "maxValue": 75564,
      "minValue": 62232
    },
    "datePosted": "2026-06-12T04:00:00.000Z",
    "description": "<h2>Additional Information</h2>\n<h1>Postdoc in Causal Inference of Complex Gene Networks</h1>\n<p>We invite applications for a NIH-funded postdoctoral researcher position in our computational lab at UMass Chan Medical School. We develop methods to reconstruct <strong>multi-modal causal networks</strong> that govern cellular behavior from <strong>large-scale single-cell datasets</strong>. Our group has pioneered computational approaches for:</p>\n<ul>\n <li>Inferring causal networks from Perturb-seq (interventional single-cell CRISPR screens).</li>\n <li>Mapping dynamic network rewiring from joint scRNA-seq + scATAC-seq.</li>\n <li>Identifying state-specific causal networks from population-scale scRNA-seq.</li>\n</ul>\n<p>We approach single-cell biology as a <strong>high-dimensional, dynamic, networked system</strong>, applying techniques from <strong>machine learning, causal inference, statistics, and algorithms</strong>. <strong>No prior biomedical training is required</strong>—just strong quantitative skills and curiosity about complex systems.</p>\n<h2>Position Overview</h2>\n<p>You will design, implement, and apply new computational and statistical models to reverse-engineer causal networks from noisy, high-dimensional, multi-modal data. This role offers high independence, rapid idea testing, and close collaboration with an interdisciplinary team.</p>\n<p>If you are excited about tackling problems in complex networks, causal inference, and high-dimensional systems, and applying them to understand how molecular interactions drive cell states and transitions, this is an excellent fit.</p>\n<h2>Key Responsibilities</h2>\n<ul>\n <li>Develop accurate and scalable algorithms for inferring multi-modal, condition-dependent networks from datasets with millions of samples (cells) between tens of thousands of nodes (genes and genetic features).</li>\n <li>Apply these algorithms on existing and new datasets to uncover biological principles and insights across molecular, cellular, and population levels.</li>\n <li>Build open-source, user-friendly software tools for the community.</li>\n <li>Disseminate findings through peer-reviewed publications, user-friendly software packages, and academic presentations.</li>\n <li>Collaborate with other group members and research groups as needed.</li>\n</ul>",
    "directApply": true,
    "jobLocation": [
      {
        "@type": "Place",
        "address": {
          "@type": "PostalAddress",
          "postalCode": "01655-0001",
          "addressRegion": "MA",
          "streetAddress": "55 Lake Ave N",
          "addressCountry": "US",
          "addressLocality": "Worcester",
          "postOfficeBoxNumber": "UNAVAILABLE"
        }
      }
    ],
    "validThrough": "2027-06-12T04:00:00.000Z",
    "employmentType": "OTHER",
    "salaryCurrency": "USD",
    "hiringOrganization": {
      "name": "University of Massachusetts Medical School",
      "@type": "Organization",
      "sameAs": "www.umassmed.edu"
    }
  },
  "detail_meta": {
    "url": "https://careers-umms.icims.com/jobs/49874/post-doc---open-rank/job?in_iframe=1",
    "http_status": 200,
    "content_type": "text/html;charset=UTF-8",
    "response_bytes": 32294,
    "compact_response_bytes": 3331,
    "original_response_bytes": 32294
  },
  "sitemap_job": {
    "id": "49874",
    "url": "https://careers-umms.icims.com/jobs/49874/post-doc---open-rank/job",
    "slug": "post-doc---open-rank",
    "lastmod": "2026-06-05T16:34:15-04:00"
  },
  "detail_errors": []
}