Home › Companies › 582d25a6 409d 494b A684 51c19a781984 19000101 000001 › Talent Community | Data Scientist
Talent Community | Data Scientist
582d25a6 409d 494b A684 51c19a781984 19000101 000001 · Chicago, IL, US, Chicago, IL · Active · ADP Workforce Now Recruiting
Job facts
| Field | Value |
|---|---|
| Company | 582d25a6 409d 494b A684 51c19a781984 19000101 000001 |
| Title | Talent Community | Data Scientist |
| Normalized title | - |
| Department / team | - |
| Location | Chicago, IL, United States |
| Work model | - |
| Employment type | - |
| Salary | - |
| Status | active |
| ATS provider | ADP Workforce Now Recruiting |
| Posted / first seen | 2026-02-13 / 2026-05-31 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from 582d25a6 409d 494b A684 51c19a781984 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 Chicago. | 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 | 582d25a6 409d 494b A684 51c19a781984 19000101 000001 |
| Source | 372cc6c8-c490-4ae9-8e26-c79de45b03a8 |
| ATS provider | ADP Workforce Now Recruiting |
Description
Evozyne designs and builds engineered protein therapeutics using our AI-native platform, transforming what’s possible in immune-mediated disease treatment. Our Data Scientists partner closely with our research teams to transform complex experimental data into insights that guide molecule design and program strategy, turning bold ideas into therapies that can meaningfully improve patients’ lives. This posting helps us connect with candidates for future opportunities. While this listing is not tied to a current opening, we encourage you to join our talent community so we can connect with you when new roles emerge!
Key Responsibilities
Analyze and integrate diverse experimental datasets (e.g., sequencing, biophysical, cell-based, and functional assays) to inform therapeutic design decisions Develop computational and statistical models to support protein engineering, optimization, and candidate selection Design and implement workflows for data processing, visualization, and interpretation that enable rapid, high-quality decision-making Partner with discovery scientists to translate biological questions into quantitative analyses and predictive approaches Apply machine learning and modeling methods to improve design strategies Build scalable tools and pipelines that enhance reproducibility and accessibility of experimental insights Communicate findings clearly to cross-functional teams and contribute to project strategy and prioritization Who You Are
You thrive in an early-stage start-up environment and are motivated by the opportunity to build new therapies that can transform patients’ lives. You combine agility with scientific rigor to deliver high-quality results, and you bring natural curiosity and a collaborative mindset to solving complex challenges.
Minimum Qualifications
Undergraduate and/or graduate level education focused on data science, computational biology, bioinformatics, computer science, machine learning, AI, or a similar field Hands on experience analyzing experimental, biological, chemistry, or physics datasets (industry, startup, or academic lab) Ability to understand experimental context (read protocols, interpret assay outputs) and partner effectively with experimentalists Solid grasp of EDA and basic statistics (distributions, confidence intervals, hypothesis testing)
Full job record
| Job ID | 6a1e8f8a18310b72583f206b2c10f5c28359a458 |
| Org ID | 103080a8-dc5f-4aae-8809-314c2e58c84f |
| Source ID | 372cc6c8-c490-4ae9-8e26-c79de45b03a8 |
| Board ID | 372cc6c8-c490-4ae9-8e26-c79de45b03a8 |
| Provider | adp_workforcenow |
| Provider Job Key | 568784 |
| Title | Talent Community | Data Scientist |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Chicago, IL, US, Chicago, IL |
| Department | — |
| Team | — |
| Employment Type | — |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | IL |
| City | Chicago |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=582d25a6-409d-494b-a684-51c19a781984&ccId=19000101_000001&lang=en_US&type=JS&jobId=568784&jwId=9201792230685_1 |
| Apply URL | https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=582d25a6-409d-494b-a684-51c19a781984&ccId=19000101_000001&lang=en_US&type=JS&jobId=568784&jwId=9201792230685_1 |
| First Seen At | 2026-05-31 18:27:41Z |
| Last Seen At | 2026-06-06 13:11:15Z |
| Last Checked At | 2026-06-06 13:11:15Z |
| Last Changed At | 2026-06-06 13:11:15Z |
| Inactive At | — |
| Source Posted At | 2026-02-13 18:05:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=adp_workforcenow/board=582d25a6-409d-494b-a684-51c19a781984|19000101_000001/date=2026-06-06/2026-06-06T13-11-14-772Z-8206e1e78c9ccd1124ff06ccf2b887b14d00911c533d0c8aa124c478a0afddc6.json |
Event Fields
{
"content_hash": "c72be87a187b784328a7b20912b16f9fb0330731053d86d47e928cb3389d907c",
"source_hash": "807cdd476d5578a5b7939cdd58fcc89b549d371024bad009dba8c0a7ef20ff9b",
"last_changed_at": "2026-06-06T13:11:15.030Z",
"active_status": "active"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "Chicago, IL, US, Chicago, IL",
"city": "Chicago",
"region": "IL",
"country": "United States",
"is_remote": false,
"confidence": 0.95
},
"salary_max": null,
"salary_min": null,
"inferred_at": "2026-06-06T13:11:15.021Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en",
"location": {
"raw": "Chicago, IL, US, Chicago, IL",
"city": "Chicago",
"region": "IL",
"country": "United States",
"is_remote": false,
"confidence": 0.95
},
"countries": [
"United States"
]
},
"remote_policy": null,
"salary_period": null,
"workplace_type": null,
"salary_currency": null
}Extensions
{}Native Structured
{
"detail": {
"links": [],
"itemID": "9201792230685_1",
"postDate": "2026-02-13T13:05:00.000-05:00",
"customFieldGroup": {
"dateFields": [
{
"nameCode": {
"codeValue": "PostingDate"
},
"dateValue": "2026-02-13T13:05Z"
},
{
"nameCode": {
"codeValue": "CurrentServerDateTime"
},
"dateValue": "2026-06-06T09:11Z"
}
],
"numberFields": [
{
"numberValue": 0,
"categoryCode": {
"codeValue": "ApplicantCount"
}
},
{
"categoryCode": {
"codeValue": "AwardAmount"
}
}
],
"stringFields": [
{
"nameCode": {
"codeValue": "ExternalJobID"
},
"stringValue": "568784"
},
{
"nameCode": {
"codeValue": "CareerCenterRefId"
}
},
{
"nameCode": {
"codeValue": "GuidelineOid"
}
},
{
"nameCode": {
"codeValue": "CurrencySymbolOrCode"
}
},
{
"nameCode": {
"codeValue": "HomeDepartment"
},
"stringValue": ""
},
{
"nameCode": {
"codeValue": "JobClass"
},
"stringValue": "Professional"
}
],
"indicatorFields": [
{
"nameCode": {
"codeValue": "PriortyStatusFlag"
},
"indicatorValue": false
},
{
"nameCode": {
"codeValue": "InternalPostingFlag"
},
"indicatorValue": false
},
{
"nameCode": {
"codeValue": "MinValue"
},
"indicatorValue": true
},
{
"nameCode": {
"codeValue": "IsVsidApplicable"
},
"indicatorValue": true
},
{
"nameCode": {
"codeValue": "IsSassDlReqForExtPostFlag"
},
"indicatorValue": false
},
{
"nameCode": {
"codeValue": "IsSassDlReqForIntPostFlag"
},
"indicatorValue": false
},
{
"nameCode": {
"codeValue": "IsMonetaryFlag"
},
"indicatorValue": false
},
{
"nameCode": {
"codeValue": "IsNonMonetaryFlag"
},
"indicatorValue": false
}
]
},
"requisitionTitle": "Talent Community | Data Scientist ",
"clientRequisitionID": "1032",
"organizationalUnits": [],
"postingInstructions": [],
"additionalProperties": {},
"requisitionLocations": [
{
"address": {
"cityName": "Chicago",
"postalCode": "60614",
"countrySubdivisionLevel1": {
"codeValue": "IL"
}
},
"nameCode": {
"shortName": " Chicago, IL, US"
},
"aliasNames": []
}
],
"screeningRequirements": [],
"requisitionDescription": "<div><div><div><!--StartFragment--><p data-pasted=\"true\">Evozyne designs and builds engineered protein therapeutics using our AI-native platform, transforming what’s possible in immune-mediated disease treatment. Our Data Scientists partner closely with our research teams to transform complex experimental data into insights that guide molecule design and program strategy, turning bold ideas into therapies that can meaningfully improve patients’ lives. <strong><em>This posting helps us connect with candidates for future opportunities.</em> </strong>While this listing is not tied to a current opening, we encourage you to join our talent community so we can connect with you when new roles emerge!</p><p><strong>Key Responsibilities</strong></p><ul type=\"disc\"><li>Analyze and integrate diverse experimental datasets (e.g., sequencing, biophysical, cell-based, and functional assays) to inform therapeutic design decisions</li><li>Develop computational and statistical models to support protein engineering, optimization, and candidate selection</li><li>Design and implement workflows for data processing, visualization, and interpretation that enable rapid, high-quality decision-making</li><li>Partner with discovery scientists to translate biological questions into quantitative analyses and predictive approaches</li><li>Apply machine learning and modeling methods to improve design strategies</li><li>Build scalable tools and pipelines that enhance reproducibility and accessibility of experimental insights</li><li>Communicate findings clearly to cross-functional teams and contribute to project strategy and prioritization</li></ul><p><strong>Who You Are</strong></p><p>You thrive in an early-stage start-up environment and are motivated by the opportunity to build new therapies that can transform patients’ lives. You combine agility with scientific rigor to deliver high-quality results, and you bring natural curiosity and a collaborative mindset to solving complex challenges.</p><p><strong>Minimum Qualifications</strong></p><ul type=\"disc\"><li>Undergraduate and/or graduate level education focused on data science, computational biology, bioinformatics, computer science, machine learning, AI, or a similar field</li><li>Hands on experience analyzing experimental, biological, chemistry, or physics datasets (industry, startup, or academic lab)</li><li>Ability to understand experimental context (read protocols, interpret assay outputs) and partner effectively with experimentalists</li><li>Solid grasp of EDA and basic statistics (distributions, confidence intervals, hypothesis testing)</li></ul><!--EndFragment--><p> </p></div></div></div>\n",
"sponsoredVisaTypeCodes": []
},
"list_job": {
"links": [],
"itemID": "9201792230685_1",
"postDate": "2026-02-13T13:05:00.000-05:00",
"customFieldGroup": {
"dateFields": [
{
"nameCode": {
"codeValue": "PostingDate"
},
"dateValue": "2026-02-13T13:05Z"
},
{
"nameCode": {
"codeValue": "CurrentServerDateTime"
},
"dateValue": "2026-06-06T09:11Z"
}
],
"numberFields": [
{
"numberValue": 0,
"categoryCode": {
"codeValue": "ApplicantCount"
}
},
{
"categoryCode": {
"codeValue": "AwardAmount"
}
}
],
"stringFields": [
{
"nameCode": {
"codeValue": "ExternalJobID"
},
"stringValue": "568784"
},
{
"nameCode": {
"codeValue": "CareerCenterRefId"
}
},
{
"nameCode": {
"codeValue": "GuidelineOid"
}
},
{
"nameCode": {
"codeValue": "CurrencySymbolOrCode"
}
},
{
"nameCode": {
"codeValue": "HomeDepartment"
},
"stringValue": ""
},
{
"nameCode": {
"codeValue": "JobClass"
},
"stringValue": "Professional"
}
],
"indicatorFields": [
{
"nameCode": {
"codeValue": "PriortyStatusFlag"
},
"indicatorValue": false
},
{
"nameCode": {
"codeValue": "InternalPostingFlag"
},
"indicatorValue": false
},
{
"nameCode": {
"codeValue": "MinValue"
},
"indicatorValue": true
},
{
"nameCode": {
"codeValue": "IsVsidApplicable"
},
"indicatorValue": true
},
{
"nameCode": {
"codeValue": "IsSassDlReqForExtPostFlag"
},
"indicatorValue": false
},
{
"nameCode": {
"codeValue": "IsSassDlReqForIntPostFlag"
},
"indicatorValue": false
},
{
"nameCode": {
"codeValue": "IsMonetaryFlag"
},
"indicatorValue": false
},
{
"nameCode": {
"codeValue": "IsNonMonetaryFlag"
},
"indicatorValue": false
}
]
},
"requisitionTitle": "Talent Community | Data Scientist ",
"clientRequisitionID": "1032",
"organizationalUnits": [],
"postingInstructions": [],
"additionalProperties": {},
"requisitionLocations": [
{
"address": {
"cityName": "Chicago",
"postalCode": "60614",
"countrySubdivisionLevel1": {
"codeValue": "IL"
}
},
"nameCode": {
"shortName": " Chicago, IL, US"
},
"aliasNames": []
}
],
"screeningRequirements": [],
"sponsoredVisaTypeCodes": []
},
"detail_meta": {
"url": "https://workforcenow.adp.com/mascsr/default/careercenter/public/events/staffing/v1/job-requisitions/568784?cid=582d25a6-409d-494b-a684-51c19a781984&ccId=19000101_000001&lang=en_US&locale=en_US",
"http_status": 200,
"content_type": "application/json;charset=UTF-8",
"response_bytes": 5064
},
"detail_errors": []
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/6a1e8f8a18310b72583f206b2c10f5c28359a458?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/103080a8-dc5f-4aae-8809-314c2e58c84fJSONGET https://api.bluedoor.sh/job-postings/v1/sources/372cc6c8-c490-4ae9-8e26-c79de45b03a8JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/6a1e8f8a18310b72583f206b2c10f5c28359a458/eventsJSON