Clinical Data Scientist (Remote)
United States
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingLead end-to-end medical research projects with top-tier life science companies.
Support clinical protocol design from a data and feasibility perspective.
Perform statistical analyses and present results to clients (dashboards, publications, presentations).
From the employer’s posting
What You'll Do Lead end-to-end medical research projects with top-tier life science companies. Conduct EMR data exploration and extract relevant clinical features.
Apply LLM-based feature engineering to transform unstructured data into clinical insights. Support clinical protocol design from a data and feasibility perspective. Perform statistical analyses and present results to clients (dashboards, publications, presentations).
Support clinical protocol design from a data and feasibility perspective. Perform statistical analyses and present results to clients (dashboards, publications, presentations). Become a subject matter expert in our proprietary healthcare data.
What you’ll bring
All qualificationsCore experience
- 5+ years of experience as a Data Scientist or in a similar analytical role, with 3+ years in the healthcare industry (required).
- Python, Pandas, Statistical analysis, Claude code or equivalent
- Experience in client-facing roles and working with pharmaceutical or life sciences companies (required).
- Deep familiarity with Electronic Medical Records (EMRs) and healthcare coding systems (CPT, ICD-10, etc.).
Preferred experience
- Experience with cloud infrastructure platforms (AWS/GCP) — preferred.
Qualification wording
5+ years of experience as a Data Scientist or in a similar analytical role, with 3+ years in the healthcare industry (required).
Python, Pandas, Statistical analysis, Claude code or equivalent
Experience in client-facing roles and working with pharmaceutical or life sciences companies (required).
Deep familiarity with Electronic Medical Records (EMRs) and healthcare coding systems (CPT, ICD-10, etc.).
Experience with cloud infrastructure platforms (AWS/GCP) — preferred.
Tools in this posting
- Python
- pandas
- R
- SQL
- AWS
- Google Cloud (GCP)
Source — Tool mentions in context
- Experience in client-facing roles and working with pharmaceutical or life sciences companies (required). - Advanced proficiency in Python and SQL. - Deep familiarity with Electronic Medical Records (EMRs) and healthcare coding systems (CPT, ICD-10, etc.).
Tech Stack Python, Pandas, Statistical analysis, Claude code or equivalent Compensation
Extra Credit - R, Large Language Models, and data pipelines Tech Stack
- Deep familiarity with Electronic Medical Records (EMRs) and healthcare coding systems (CPT, ICD-10, etc.). - Experience with cloud infrastructure platforms (AWS/GCP) — preferred. - A collaborative team player who is self-motivated, quick to learn, and possesses excellent analytical, research, and business acumen.
About Latica
At Latica, our goal is to unlock the value of healthcare data to transform patient care.
In the employer’s words · Read in context
Job description
About Latica
At Latica, our goal is to unlock the value of healthcare data to transform patient care. Latica is a community data network and clinical AI platform that enables to safely access de-identified real-world data and accelerate diagnostic and therapeutic innovation. Our platform enables fast, compliant access to diverse clinical data, advancing R&D for diagnostics, therapeutics, pharmaceutical studies, and medical devices. Latica was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI, and cybersecurity. We look for people who are smart, open, and enjoyable to work with. We invest in high-potential, humble team members who grow their responsibilities as the company scales.
What You'll Do
- Lead end-to-end medical research projects with top-tier life science companies.
- Conduct EMR data exploration and extract relevant clinical features.
- Apply LLM-based feature engineering to transform unstructured data into clinical insights.
- Support clinical protocol design from a data and feasibility perspective.
- Perform statistical analyses and present results to clients (dashboards, publications, presentations).
- Become a subject matter expert in our proprietary healthcare data.
- Develop cross-client pipelines to support our data infrastructure and product.
- Build diverse patient cohorts and datasets to continuously enrich Latica’s data catalog.
Requirements
Must Have
- 5+ years of experience as a Data Scientist or in a similar analytical role, with 3+ years in the healthcare industry (required).
- Experience in client-facing roles and working with pharmaceutical or life sciences companies (required).
- Advanced proficiency in Python and SQL.
- Deep familiarity with Electronic Medical Records (EMRs) and healthcare coding systems (CPT, ICD-10, etc.).
- Experience with cloud infrastructure platforms (AWS/GCP) — preferred.
- A collaborative team player who is self-motivated, quick to learn, and possesses excellent analytical, research, and business acumen.
Extra Credit
- R, Large Language Models, and data pipelines
Tech Stack
Python, Pandas, Statistical analysis, Claude code or equivalent
Compensation
Compensation will depend on factors such as skills, experience, location, and business needs.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on latica-ai.breezy.hr. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jul 8, 2026
- Recorded sightings
- 28
- Last seen by us
- Oct 12, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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