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Remote Biomedical Data Scientist Jobs (NOW HIRING)

Data Scientist

Santa Cruz, CA ยท Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Connect biomedical sensor data with medical, health, and fitness outcomes * Research and ...

Data Scientist

Durham, NC ยท Remote

$51 - $58/hr

This is a long-term contract opportunity offering remote work flexibility. We are looking for ... Experience supporting public health, environmental health, climate, or biomedical research projects

As a Data Scientist, you will be working with our engineering team to model complex problems and ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Senior Data Scientist

Chicago, IL ยท On-site +1

$201K - $248K/yr

This is a remote role with a strong preference for candidates based in SF or NYC . You will report ... Studied Biomedical Engineering and Econ at Duke University; Formerly Director of Product at ...

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Data Scientist Remote 12 Month Contract to hire Data Scientist - Profile Overview This is a data foundation-heavy Data Scientist role with strong overlap into Data Engineering. What the client is ...

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Remote Biomedical Data Scientist information

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How much do remote biomedical data scientist jobs pay per year?

As of Jun 17, 2026, the average yearly pay for remote biomedical data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote biomedical data scientists, and how can they be addressed?

Remote biomedical data scientists often encounter challenges such as collaborating effectively with cross-functional teams, managing large and sensitive datasets, and ensuring clear communication with researchers and clinicians. To address these, it's important to utilize secure data-sharing platforms, maintain regular virtual meetings, and document analyses thoroughly. Additionally, leveraging collaborative tools and staying updated on data privacy regulations can help ensure smooth workflows and compliance.

What are the key skills and qualifications needed to thrive as a Remote Biomedical Data Scientist, and why are they important?

To thrive as a Remote Biomedical Data Scientist, you need expertise in statistics, machine learning, data analysis, and a solid background in biology or biomedical sciences, often supported by an advanced degree. Familiarity with programming languages such as Python or R, experience with bioinformatics tools, and knowledge of data management systems are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate virtually are essential soft skills in this role. These competencies enable accurate interpretation of complex biomedical data and facilitate impactful research or product development in remote, interdisciplinary environments.

Is 40 too late for data science?

Age is not a barrier to becoming a biomedical data scientist; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistical analysis, and domain knowledge, which can be developed through online courses and certifications regardless of age.

Can I get a remote job as a data scientist?

Remote data scientist positions are widely available across various industries, including biomedical data science. These roles typically require strong skills in programming, statistical analysis, and data visualization, and often involve using tools like Python, R, or SQL. Many companies offer remote work options, especially for experienced professionals with relevant certifications and a proven track record in data analysis.

What is a Remote Biomedical Data Scientist?

A Remote Biomedical Data Scientist is a professional who analyzes complex biological and medical data from a remote location, often working from home or another offsite setting. They use statistical methods, machine learning, and computational tools to interpret data related to healthcare, genomics, clinical trials, or medical imaging. Their work helps improve patient outcomes, advance scientific research, and inform healthcare decisions. Remote roles typically require strong communication and collaboration skills to work effectively with multidisciplinary teams online.

What remote jobs can I do with a biomedical science degree?

A remote biomedical data scientist role involves analyzing biological and clinical data to support research and healthcare decisions, often requiring skills in programming, statistics, and data visualization tools. Other remote jobs include medical writing, bioinformatics analysis, regulatory affairs, and telehealth consulting, which leverage biomedical knowledge and technical expertise. These positions typically require strong communication skills and familiarity with data analysis software like R or Python.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. For a remote biomedical data scientist, focusing on the most impactful variables or features can improve model performance and efficiency during analysis and feature selection.
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What are the most commonly searched types of Biomedical Data Scientist jobs? The most popular types of Biomedical Data Scientist jobs are:
What states have the most Remote Biomedical Data Scientist jobs? States with the most job openings for Remote Biomedical Data Scientist jobs include:

Machine Learning Scientist -- Agentic data pipelines

Iambic Therapeutics, Inc

Boston, MA โ€ข On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Posted 12 days ago


Job description

Job Summary

We are seeking a scientist to join our team at Iambic Therapeutics, working on data acquisition and curation for Enchant, our multimodal transformer model trained at scale on a wide variety of biomedical data. In this role, you will design and build agentic systems that acquire, clean, format, and quality-control the large-scale datasets that power Enchant training. You will work at the intersection of LLM-based automation and biomedical data engineeringโ€”developing AI agents that can navigate heterogeneous data sources, enforce quality standards, and operate reliably at scale.

This role is ideal for candidates who combine strong software engineering instincts with scientific understanding of biomedical data, and who are excited about using LLMs as tools to solve practical data problems.

Key Responsibilities

  • Design, build, and maintain agentic systems for automated data acquisition from public and proprietary biomedical data sources

  • Develop LLM-based pipelines for data cleaning, normalization, and formatting across diverse data modalities (e.g., molecular, genomic, clinical, literature)

  • Implement automated quality-control workflows that detect anomalies, flag inconsistencies, and enforce data standards

  • Evaluate and iterate on agent architectures, prompting strategies, and tool-use patterns to improve reliability and throughput

  • Collaborate with ML scientists on the Enchant team to understand data requirements and translate them into scalable acquisition and processing systems

  • Monitor and maintain data pipelines in production, diagnosing failures and improving robustness over time

  • Document data provenance, processing decisions, and quality metrics to support reproducibility and auditing

Qualifications

Required:

  • Master\'s or PhD in a computational STEM field, or equivalent industry experience

  • Strong Python engineering skills, including experience building and maintaining production-quality software

  • Hands-on experience with LLM APIs (e.g., Claude, GPT) and agentic patterns such as tool use, orchestration, and multi-step reasoning

  • Familiarity with biomedical or chemical data sources and formats (e.g., PDB, UniProt, ChEMBL, SDF/MOL, FASTA, or similar)

  • Comfort with data engineering fundamentals: ETL design, data validation, and working with structured and unstructured data at scale

Desired:

  • Experience with agent orchestration frameworks

  • Familiarity with cloud infrastructure and workflow orchestration (e.g., AWS, Docker, Kubernetes)

  • Knowledge of multimodal biomedical dataโ€”spanning small molecules, proteins, assays, images, โ€˜omics, and/or clinical records

  • Experience with large-scale dataset construction or curation for ML model training

Location

Remote (US or UK). On-site available in Bristol, UK and Boston, US.

ABOUT IAMBIC THERAPEUTICS

Iambic is a clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform. Based in San Diego and founded in 2020, Iambic has assembled a world-class team that unites pioneering AI experts and experienced drug hunters. The Iambic platform has demonstrated delivery of new drug candidates to human clinical trials with unprecedented speed and across multiple target classes and mechanisms of action. Iambic is advancing a pipeline of potential best-in-class and first-in-class clinical assets, both internally and in partnership, to address urgent unmet patient need. Learn more about the Iambic team, platform, pipeline, and partnerships at iambic.ai.

MISSION & CORE VALUES

Our mission is to deliver better medicines through innovations in AI-based discovery technologies. The culture and work at Iambic Therapeutics are profoundly strengthened by the diversity of our people and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. We are committed to building an inclusive environment where a diverse group of talented humans work together to discover therapeutics and create technologies.

PAY AND BENEFITS

We offer industry leading competitive pay, company paid healthcare, flexible spending accounts, voluntary life insurance, 401K matching, and uncapped vacation to our team. We are in a brand-new state-of-the art facility in beautiful San Diego with an onsite gym, dining, and easy access to great places to live and play.