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Research Associate II

Pathos · New York City, NY, United States · On Site · Active · $70,000–$90,000 / year · Rippling ATS

Job facts

FieldValue
CompanyPathos
TitleResearch Associate II
Normalized title-
Department / teamTranslational Biology
LocationNew York City, NY, United States
Work modelOn Site
Employment typeFull Time
Salary$70,000–$90,000 / year
Statusactive
ATS providerRippling ATS
Posted / first seen2026-06-02 / 2026-06-18
Changed / last seen2026-06-20 / 2026-06-20

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PageWhat it containsOpen
Company jobsActive postings from Pathos.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Rippling ATS.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York City.Open
Department jobsActive postings in Translational Biology.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyPathos
Source2d66e9b5-1b63-475c-a03a-943980720722
ATS providerRippling ATS

Description

company Pathos is building a next-generation biotech with AI at the core. Not as a feature, but as the operating system for how medicines get developed. We believe most drugs don't fail because the science was wrong. They fail because they were tested in the wrong patients, with the wrong assumptions, in trials that couldn't answer the real question: who benefits, and why? Pathos exists to change that. We're building the largest foundation model in oncology and pairing it with proprietary AI systems, deep oncology expertise, and 200+ petabytes of multimodal data linked to patient outcomes, so we can make development decisions with more precision, much earlier. This is not theoretical. We're well-capitalized and have the leadership to build a generational company. We invest in and advance our own clinical-stage programs, using our AI platform to sharpen trial design, patient selection and biomarker strategy. So therapies reach the patients most likely to benefit, sooner. How We Build Pathos does not operate like a traditional biotech. There is no middle management. There are no layers of approval. The company is designed, from the ground up, around small teams of 2–4 subject-matter experts who each command hundreds of AI agents to do the work that used to require dozens of people. Everyone builds. Everyone ships. Every function at Pathos — from clinical execution to asset selection to the foundation model itself — runs on this model. Our product velocity delivers meaningful outcomes in hours instead of weeks. This is not a future aspiration. It is how we operate today. The people who thrive here are operators: deep experts who can specify what needs to happen, orchestrate AI agents to execute at scale, and make high-judgment calls that compound over time. If you have spent your career building and shipping AI systems at scale, this is the environment where that experience becomes a superpower. role About the role We are seeking a highly motivated Research Associate to join our growing translational laboratory team. This individual will be instrumental in developing, optimizing, and executing ex-vivo assays to support our oncology clinical pipeline. A primary responsibility will be to understand drug mechanisms of action in primary tumor samples and to validate AI-identified biomarkers to support patient stratification. This position requires strong technical skills, meticulous attention to detail, and a passion for data-driven discovery. What You’ll Do Design and executing medium-to-high-throughput drug screen assays for testing tumor kill and pharmacodynamic effects using Incucyte. Characterization of assay samples for proteomics, RNA, DNA and epigenetic changes that explain molecular mechanisms of resistance and tolerability. Collaboration with a world-class computational team to interpret multi-omic data to improve AI predictions and drive biomarker strategy for clinical trials. Building and maintaining a biobank of primary tumor tissues and cell lines for translational experiments. Perform routine and advanced cellular and molecular biology techniques, including primary tumor sample processing, cell culture, transfection, nucleic acid extraction, PCR/qPCR, Western blotting, and immunostaining. Inventory management, vendor coordination, equipment maintenance scheduling, and compliance with safety protocols. Sample tracking, experiment recording and data management using LIMS system (Benchling). Contribution of biological insights to the preparation of reports, presentations, and publications for clinical trials and FDA documents. Who You Are B.S. or M.S. in Biology, Molecular Biology, Genomics, or a related field. 3–5 years of hands-on experience in an oncology research or industry laboratory setting. Strong expertise in cell culture techniques, including the maintenance of human cancer cell lines, dissociation and expansion of primary solid tumor tissues from surgical resection. Experience with 3D culture systems such as Matrigel is preferred. Competency in setting up drug functional assays for small molecules and antibody therapeutics required. Familiarity with flow cytometry and/or immunohistochemistry in FFPE is highly desirable. Proficiency in genomic assays (e.g. RNAseq, DNAseq and ChIP) and CRISPR technology is also preferred. Location This position is fully on-site in our Manhattan laboratory and offers opportunities for professional growth in a collaborative research environment.

Full job record

Job IDddeaf09719a179ee79f69366789da67bac545970
Org ID25325165-9d82-45f6-8e64-74c33db17449
Source ID2d66e9b5-1b63-475c-a03a-943980720722
Board ID2d66e9b5-1b63-475c-a03a-943980720722
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TitleResearch Associate II
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Location TextNew York City, NY, United States
DepartmentTranslational Biology
Team
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionNY
CityNew York City
Salary RawUSD 70000-90000 YEAR
Salary Min70,000
Salary Max90,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://ats.rippling.com/pathos/jobs/9c8a544c-3b23-4598-bcbd-9253a788345d
Apply URLhttps://ats.rippling.com/pathos/jobs/9c8a544c-3b23-4598-bcbd-9253a788345d
First Seen At2026-06-18 09:25:01Z
Last Seen At2026-06-20 09:06:23Z
Last Checked At2026-06-20 09:06:23Z
Last Changed At2026-06-20 09:06:23Z
Inactive At
Source Posted At2026-06-02 16:04:42Z
Source Updated At
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      "role": "<meta><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:14pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:14pt;white-space:pre-wrap;\">About the role</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">We are seeking a highly motivated Research Associate to join our growing translational laboratory team.  This individual will be instrumental in developing, optimizing, and executing ex-vivo assays to support our oncology clinical pipeline. A primary responsibility will be to understand drug mechanisms of action in primary tumor samples and to validate AI-identified biomarkers to support patient stratification. This position requires strong technical skills, meticulous attention to detail, and a passion for data-driven discovery.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:14pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:14pt;white-space:pre-wrap;\">What You’ll Do</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Design and executing medium-to-high-throughput drug screen assays for testing tumor kill and pharmacodynamic effects using Incucyte.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Characterization of assay samples for proteomics, RNA, DNA and epigenetic changes that explain molecular mechanisms of resistance and tolerability.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Collaboration with a world-class computational team to interpret multi-omic data to improve AI predictions and drive biomarker strategy for clinical trials.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Building and maintaining a biobank of primary tumor tissues and cell lines for translational experiments.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Perform routine and advanced cellular and molecular biology techniques, including primary tumor sample processing, cell culture, transfection, nucleic acid extraction, PCR/qPCR, Western blotting, and immunostaining.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Inventory management, vendor coordination, equipment maintenance scheduling, and compliance with safety protocols.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Sample tracking, experiment recording and data management using LIMS system (Benchling).</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Contribution of biological insights to the preparation of reports, presentations, and publications for clinical trials and FDA documents.</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:14pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:14pt;white-space:pre-wrap;\">Who You Are</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">B.S. or M.S. in Biology, Molecular Biology, Genomics, or a related field.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">3–5 years of hands-on experience in an oncology research or industry laboratory setting.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Strong expertise in cell culture techniques, including the maintenance of human cancer cell lines, dissociation and expansion of primary solid tumor tissues from surgical resection. </span><span style=\"color:rgb(29,28,29);font-size:12pt;white-space:pre-wrap;\">Experience with 3D culture systems such as Matrigel is preferred.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Competency in setting up drug functional assays for small molecules and antibody therapeutics required.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Familiarity with flow cytometry and/or immunohistochemistry in FFPE is highly desirable.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Proficiency in genomic assays (e.g. RNAseq, DNAseq and ChIP) and CRISPR technology is also preferred.</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:14pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:14pt;white-space:pre-wrap;\">Location</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">This position is fully on-site in our Manhattan laboratory and offers opportunities for professional growth in a collaborative research environment.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p>",
      "company": "<meta><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Pathos is building a next-generation biotech with AI at the core. Not as a feature, but as the operating system for how medicines get developed. We believe most drugs don't fail because the science was wrong. They fail because they were tested in the wrong patients, with the wrong assumptions, in trials that couldn't answer the real question: who benefits, and why?</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Pathos exists to change that. We're building the largest foundation model in oncology and pairing it with proprietary AI systems, deep oncology expertise, and 200+ petabytes of multimodal data linked to patient outcomes, so we can make development decisions with more precision, much earlier.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">This is not theoretical. We're well-capitalized and have the leadership to build a generational company. We invest in and advance our own clinical-stage programs, using our AI platform to sharpen trial design, patient selection and biomarker strategy. So therapies reach the patients most likely to benefit, sooner.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">How We Build</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Pathos does not operate like a traditional biotech. There is no middle management. There are no layers of approval. The company is designed, from the ground up, around small teams of 2–4 subject-matter experts who each command hundreds of AI agents to do the work that used to require dozens of people.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Everyone builds. Everyone ships. Every function at Pathos — from clinical execution to asset selection to the foundation model itself — runs on this model. Our product velocity delivers meaningful outcomes in hours instead of weeks. This is not a future aspiration. It is how we operate today.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">The people who thrive here are operators: deep experts who can specify what needs to happen, orchestrate AI agents to execute at scale, and make high-judgment calls that compound over time. If you have spent your career building and shipping AI systems at scale, this is the environment where that experience becomes a superpower.</span></p>"
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GET https://api.bluedoor.sh/job-postings/v1/jobs/ddeaf09719a179ee79f69366789da67bac545970?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/25325165-9d82-45f6-8e64-74c33db17449JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/2d66e9b5-1b63-475c-a03a-943980720722JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/ddeaf09719a179ee79f69366789da67bac545970/eventsJSON