Home › Companies › 6d7ad1a7 8b7c 42a3 Ac5e A93dfe0fd991 19000101 000001 › Term Post-Doctoral Researcher
Term Post-Doctoral Researcher
6d7ad1a7 8b7c 42a3 Ac5e A93dfe0fd991 19000101 000001 · Cambridge, MA, US, Cambridge, MA · Remote · Active · $35,000–$35,000 / year · ADP Workforce Now Recruiting
Job facts
| Field | Value |
|---|---|
| Company | 6d7ad1a7 8b7c 42a3 Ac5e A93dfe0fd991 19000101 000001 |
| Title | Term Post-Doctoral Researcher |
| Normalized title | - |
| Department / team | - |
| Location | Cambridge, MA, United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | $35,000–$35,000 / year |
| Status | active |
| ATS provider | ADP Workforce Now Recruiting |
| Posted / first seen | 2025-11-07 / 2026-05-31 |
| Changed / last seen | 2026-06-18 / 2026-06-18 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from 6d7ad1a7 8b7c 42a3 Ac5e A93dfe0fd991 19000101 000001. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through ADP Workforce Now Recruiting. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Cambridge. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | 6d7ad1a7 8b7c 42a3 Ac5e A93dfe0fd991 19000101 000001 |
| Source | 0c1eea93-ebf5-4606-ab1c-2657e9e1f3e4 |
| ATS provider | ADP Workforce Now Recruiting |
Description
Description of work to be performed/provided: Economic analysis of COVID-19 related mobility restrictions, and related short- and long-term health outcomes using Public Health and related Electronic Health Records. The impact of various place-based policies on the health and socio-economic outcomes of under-represented and Indigenous populations; the intergenerational transmission of inequality and the role of government policies. In particular, the work will include data cleaning, merging and statistical and regression analyses for several existing confidential-use data sets. The analysis will be output in standard research format of tables, figures and written text.
The duties will be: a) Access and familiarize themselves with the existing electronic health records data sets; b) Clean and harmonize to the extent possible these data sets so that they are broadly comparable along geographic lines and questions/variables. This will be conducted in collaboration with the faculty member and other team members; c) produce standard summary statistics and regression analysis for the research question as directed by the team members; d) gather some additional data on existing national level policies and interventions that may be hypothesized to be related to the existing research project; e) Researcher will meet weekly with the PIs on this project and it is feasible for this to be a fully remote position.
Openings: 2
Time: 35 hours per week
Salary Total: $35,000
Start Date: November 15, 2025 - February 28, 2026.
Location: Positions will be remote
Minimum Requirements: A PhD in Economics, Statistics or Public Policy. The ideal candidate would have 4-5 years experience in a research institution or university setting and have demonstrated research output. The candidate should have access to standard computing resources and statistical analysis software.
Please upload your CV and a writing sample into the application below.
The NBER is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, age, national origin or disability. The NBER will make reasonable accommodation for any disabled applicant, and will provide assistance to disabled applicants as needed during the application process.
Full job record
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| Org ID | 74448fe0-335b-4893-84f0-57683a1c108e |
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| Board ID | 0c1eea93-ebf5-4606-ab1c-2657e9e1f3e4 |
| Provider | adp_workforcenow |
| Provider Job Key | 949637 |
| Title | Term Post-Doctoral Researcher |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Cambridge, MA, US, Cambridge, MA |
| Department | — |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | MA |
| City | Cambridge |
| Salary Raw | 35000.00 To 35000.00 (USD) Annually |
| Salary Min | 35,000 |
| Salary Max | 35,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=6d7ad1a7-8b7c-42a3-ac5e-a93dfe0fd991&ccId=19000101_000001&lang=en_US&type=JS&jobId=949637&jwId=9201706238609_1 |
| Apply URL | https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=6d7ad1a7-8b7c-42a3-ac5e-a93dfe0fd991&ccId=19000101_000001&lang=en_US&type=JS&jobId=949637&jwId=9201706238609_1 |
| First Seen At | 2026-05-31 18:15:54Z |
| Last Seen At | 2026-06-18 13:14:18Z |
| Last Checked At | 2026-06-18 13:14:18Z |
| Last Changed At | 2026-06-18 13:14:18Z |
| Inactive At | — |
| Source Posted At | 2025-11-07 15:22:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=adp_workforcenow/board=6d7ad1a7-8b7c-42a3-ac5e-a93dfe0fd991|19000101_000001/date=2026-06-18/2026-06-18T13-14-17-785Z-50bbf73102018eebd6d0708dda51587e47ac00f539a3446e41f9bb6b349954fd.json |
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"requisitionDescription": "<div><div><div><div><div><div><div><div><div><div><div><p data-pasted=\"true\"><strong><span style=\"font-family: verdana,sans-serif;\">Description of work to be performed/provided: </span></strong><span style=\"font-family: verdana,sans-serif;\"> Economic analysis of COVID-19 related mobility restrictions, and related short- and long-term health outcomes using Public Health and related Electronic Health Records. The impact of various place-based policies on the health and socio-economic outcomes of under-represented and Indigenous populations; the intergenerational transmission of inequality and the role of government policies. In particular, the work will include data cleaning, merging and statistical and regression analyses for several existing confidential-use data sets. The analysis will be output in standard research format of tables, figures and written text. </span></p><p><span style=\"font-family: verdana,sans-serif;\">The duties will be: a) Access and familiarize themselves with the existing electronic health records data sets; b) Clean and harmonize to the extent possible these data sets so that they are broadly comparable along geographic lines and questions/variables. This will be conducted in collaboration with the faculty member and other team members; c) produce standard summary statistics and regression analysis for the research question as directed by the team members; d) gather some additional data on existing national level policies and interventions that may be hypothesized to be related to the existing research project; e) Researcher will meet weekly with the PIs on this project and it is feasible for this to be a fully remote position.</span></p><p><span style=\"font-family: verdana,sans-serif;\">Openings: 2</span></p><p><span style=\"font-family: verdana,sans-serif;\">Time: 35 hours per week</span></p><p><span style=\"font-family: verdana,sans-serif;\">Salary Total: $35,000</span></p><p><span style=\"font-family: verdana,sans-serif;\">Start Date: November 15, 2025 - February 28, 2026.</span></p><p><span style=\"font-family: verdana,sans-serif;\">Location: Positions will be remote</span></p><p><span style=\"font-family: verdana,sans-serif;\">Minimum Requirements: A PhD in Economics, Statistics or Public Policy. The ideal candidate would have 4-5 years experience in a research institution or university setting and have demonstrated research output. The candidate should have access to standard computing resources and statistical analysis software.</span></p><p><span style=\"font-family: verdana,sans-serif;\">Please upload your CV and a writing sample into the application below.</span></p><p><br></p><p><span style=\"color: rgb(0, 0, 0); font-family: verdana, sans-serif; font-size: 14px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; float: none; display: inline !important;\" data-pasted=\"true\">The NBER is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, age, national origin or disability. The NBER will make reasonable accommodation for any disabled applicant, and will provide assistance to disabled applicants as needed during the application process.</span><span style=\"color: rgb(0, 0, 0); font-family: verdana, sans-serif; font-size: 16px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; float: none; display: inline !important;\" data-pasted=\"true\"> </span></p></div></div></div></div></div></div></div></div></div></div></div>\n",
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