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Data Scientist (Remote - US) - job 1 of 5

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist in the United States.

This role offers the opportunity to leverage advanced data science techniques and large language models (LLMs) to solve complex challenges across the clinical lifecycle. The Data Scientist will collaborate closely with internal product teams and external clients, designing experiments, building prototypes, and developing metrics to track success. The position emphasizes problem-solving, innovation, and practical application of AI technologies, including data extraction, normalization, and knowledge base mining. Candidates will work in a fast-paced, dynamic environment that encourages experimentation and continuous learning. This is an opportunity to have a direct impact on clinical workflows while working alongside expert scientists and product teams. The environment is highly collaborative, client-focused, and driven by both technical excellence and practical results.

Accountabilities:

·        Collaborate with client teams to understand data use cases and design tailored AI/LLM solutions.

·        Develop and implement experiments, metrics, and prototypes to validate data science solutions.

·        Serve as the internal expert on LLMs, advising product and engineering teams on integration and best practices.

·        Apply advanced data extraction, normalization, and harmonization techniques to clinical data.

·        Design, execute, and evaluate experiments, tracking success against defined metrics.

·        Build cross-product solutions and integrate LLM capabilities into existing clinical software.

·        Communicate insights and progress effectively to internal stakeholders and clients.

·        3–5 years of experience in a data science role.

·        Proficiency in Python and Git, with strong programming and problem-solving skills.

·        Experience with classical NLP techniques as well as modern LLMs.

·        Ability to perform data cleaning, experimental design, and statistical analysis.

·        Experience with LLM prompt engineering and applying LLMs to real-world use cases.

·        Excellent communication and presentation skills, capable of explaining complex technical concepts to diverse audiences.

·        Preferred: Master’s degree or higher in Data Science, Statistics, or related field.

·        Preferred: Experience with clinical data analysis and familiarity with the clinical trial lifecycle.

·        Competitive salary with performance-based recognition.

·        Health coverage including medical, dental, vision, and mental health resources.

·        Paid time off and flexible work arrangements.

·        Professional development opportunities and continuous learning programs.

·        Collaboration with leading scientists and access to cutting-edge AI platforms.


Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

 

#LI-CL1

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Full-time, remote
DATE POSTED
November 24, 2025
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