bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesOneStudyTeamSenior Data Scientist

Senior Data Scientist

OneStudyTeam · United States-Remote · Remote · Active · $140,000–$190,000 / year · Greenhouse

Job facts

FieldValue
CompanyOneStudyTeam
TitleSenior Data Scientist
Normalized title-
Department / teamApplied Machine Learning & Analytics
LocationUnited States
Work modelRemote / Remote
Employment type-
Salary$140,000–$190,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2025-11-11 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from OneStudyTeam.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Applied Machine Learning & Analytics.Open
Work model jobsActive Remote 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

CompanyOneStudyTeam
Source167af8b1-c979-459b-b8ac-23eaf45e3ac8
ATS providerGreenhouse

Description

At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes. Our cloud-based platform, StudyTeam, brings research site workflows online and enables sites, sponsors, and other key stakeholders to work together more effectively. StudyTeam is trusted by the largest global biopharmaceutical companies, used in over 6,000 research sites, and is available in over 100 countries. Join us in our mission to advance clinical research and improve patient care. One mission. One team. That’s OneStudyTeam. As a Senior Data Scientist , you will play a pivotal role in advancing Reify Health’s data-driven solutions for clinical trials. In this position, you will drive the development of statistical models and machine learning algorithms to improve patient enrollment and trial management. You’ll work in a highly regulated healthcare data environment, ensuring compliance with privacy standards while innovating on predictive analytics. This role involves close collaboration with cross-functional teams (especially ML Engineering) to translate complex data insights into practical, impactful tools for the clinical research community. What You’ll Be Working On Site Randomization Forecasting: Develop/enhance forecasting models for site randomization and enrollment trends, enabling better planning and resource allocation across trial sites. Patient Matching/Ranking Algorithms: Support projects to build algorithms that intelligently match patients to (or rank patients for) appropriate clinical trials, enhancing recruitment efficiency and patient inclusion. Develop Other Advanced Statistical Models: Create and refine predictive models (Bayesian inference, regression analysis, time-series forecasting) to address other key clinical trial challenges and improve decision-making. AI Monitoring and Bias Detection: Implement processes to monitor machine learning models in production, detecting bias or performance drift and ensuring models remain fair, accurate, and compliant. Data Pipeline & Tooling Development: Build and optimize data pipelines and analytical workflows using tools like AWS Athena, Redshift, SageMaker, and dbt, enabling scalable model training and deployment. Regulatory Compliance in Data Science: Ensure all data science practices align with HIPAA, GDPR, and other privacy regulations, integrating compliance considerations into model development and data handling. Cross-Functional Collaboration: Work closely with machine learning engineers, product managers, and other stakeholders to integrate models into products and clearly communicate insights and recommendations. What You Bring to OneStudyTeam Education: Master’s or Ph.D. in Statistics, Data Science, Computer Science, or a related quantitative field (or equivalent professional experience). Experience: 5+ years of hands-on data science or analytics experience, preferably in a healthcare, clinical research, or other highly regulated data environment. Statistical & ML Expertise: Strong foundation in statistical modeling and machine learning techniques, including experience with Bayesian methods, regression analysis, and time-series forecasting. Model Monitoring & Fairness: Proficiency in evaluating model performance and bias, with the ability to implement AI monitoring tools and bias mitigation strategies to ensure ethical and reliable outcomes. Technical Toolset: Advanced programming skills in Python (with libraries such as scikit-learn, PyMC, mlforecast, etc.) and SQL, as well as familiarity with data transformation tools like dbt. Cloud & Data Infrastructure: Hands-on experience with cloud-based analytics and ML services, especially AWS tools (Athena for querying, Redshift for data warehousing, SageMaker for model development/deployment). Regulated Data Handling: Experience working with sensitive healthcare or clinical trial data under regulations like HIPAA and GDPR, demonstrating a deep commitment to data privacy and security best practices. Collaborative Communication: Excellent teamwork and meticulous verbal/written communication abilities, with a track record of partnering with engineering and product teams to translate data science work into actionable business solutions. Domain Knowledge: Understanding of clinical research or health-tech environments is highly valuable, including insight into clinical trial operations and a passion for improving patient outcomes through data. The expected salary range for this role is $140,000 - $190,000 USD per year for full time team members. #LI-Remote We value diversity and believe the unique contributions each of us brings drives our success. We do not discriminate on the basis of race, sex, religion, color, national origin, gender identity, age, marital status, veteran status, or disability status. Note : OneStudyTeam is unable to sponsor work visas at this time. If you are a non-U.S. resident applicant, please note that OneStudyTeam works with a Professional Employer Organization. As a condition of employment, you will abide by all organizational security and privacy policies. This organization participates in E-Verify (E-Verify's Right to Work guidance can be found here ). Mandatory Employer Disclosures: Notice to Illinois applicants: Applicants are not obligated to disclose expunged juvenile records or adjudication, arrest, or conviction. Notice to Connecticut applicants: OneStudyTeam may require applicants to submit to a urinalysis drug test in connection with an application for employment. Notice to Arizona, Georgia, Indiana, and North Dakota applicants: OneStudyTeam complies with applicable laws prohibiting smoking in and around places of employment. Notice to Massachusetts applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Notice to Rhode Island applicants: OneStudyTeam complies with Rhode Island law prohibiting smoking in enclosed areas within places of employment. OneStudyTeam is also subject to is subject to Chapters 29–38 of Title 28 of the Rhode Island General Laws. Notice to Maryland applicants: UNDER MARYLAND LAW, AN EMPLOYER MAY NOT REQUIRE OR DEMAND, AS A CONDITION OF EMPLOYMENT, PROSPECTIVE EMPLOYMENT, OR CONTINUED EMPLOYMENT, THAT AN INDIVIDUAL SUBMIT TO OR TAKE A LIE DETECTOR OR SIMILAR TEST. AN EMPLOYER WHO VIOLATES THIS LAW IS GUILTY OF A MISDEMEANOR AND SUBJECT TO A FINE NOT EXCEEDING $100.

Full job record

Job ID7503ada7f359f7ffa8b6828df379295c42f3c033
Org ID7aa05245-284d-4b73-872f-a4991e6e71b0
Source ID167af8b1-c979-459b-b8ac-23eaf45e3ac8
Board ID167af8b1-c979-459b-b8ac-23eaf45e3ac8
Providergreenhouse
Provider Job Key5704698004
TitleSenior Data Scientist
Normalized Title
Statusactive
Activeyes
Location TextUnited States-Remote
DepartmentApplied Machine Learning & Analytics
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
City
Salary Rawsalary range for this role is $140,000 - $190,000 USD per year for full time team members
Salary Min140,000
Salary Max190,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/onestudyteam/jobs/5704698004
Apply URLhttps://job-boards.greenhouse.io/onestudyteam/jobs/5704698004
First Seen At2026-05-29 22:56:32Z
Last Seen At2026-06-06 19:25:12Z
Last Checked At2026-06-06 19:25:12Z
Last Changed At2026-05-29 22:56:32Z
Inactive At
Source Posted At2025-11-11 21:21:55Z
Source Updated At2026-05-15 00:01:06Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=onestudyteam/date=2026-06-06/2026-06-06T19-25-12-701Z-efdf8f978f69ef1932860ce8914aa2f766099b240d1cec4b9999654889dd5991.json
Event Fields
{
  "content_hash": "cdfd5a4f99f4bc6e03b7cb9d2ff73c145eddfd5929f9ece55a09be28f575a223",
  "source_hash": "aca5842371834d96915ea2c0f8ce852a2ef8ef1a8656f0e63e03e3d6d8646001",
  "last_changed_at": "2026-05-29T22:56:32.381Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "United States-Remote",
    "city": null,
    "region": null,
    "country": "United States",
    "is_remote": true,
    "confidence": 0.95
  },
  "salary_max": 190000,
  "salary_min": 140000,
  "inferred_at": "2026-06-06T19:25:12.801Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "United States-Remote",
      "city": null,
      "region": null,
      "country": "United States",
      "is_remote": true,
      "confidence": 0.95
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "remote",
  "salary_period": "year",
  "workplace_type": "remote",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "title": "Senior Data Scientist",
  "offices": [
    {
      "id": 4039486004,
      "name": "USA Remote",
      "location": null,
      "child_ids": [],
      "parent_id": 4026446004
    }
  ],
  "language": "en",
  "location": {
    "name": "United States-Remote"
  },
  "metadata": [],
  "updated_at": "2026-05-14T20:01:06-04:00",
  "departments": [
    {
      "id": 4011186004,
      "name": "Applied Machine Learning & Analytics",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "company_name": "OneStudyTeam",
  "requisition_id": 5004872004,
  "first_published": "2025-11-11T16:21:55-05:00",
  "application_deadline": null
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/7503ada7f359f7ffa8b6828df379295c42f3c033?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/7aa05245-284d-4b73-872f-a4991e6e71b0JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/167af8b1-c979-459b-b8ac-23eaf45e3ac8JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/7503ada7f359f7ffa8b6828df379295c42f3c033/eventsJSON