Senior Data Scientist

Advanced Bio-Logic Solutions Corp.; San Francisco (CA); Remote; Full time

Job summary

A leading biotech company is seeking a Sr. Data Scientist to drive biomarker discovery and clinical data analysis. This fully remote role focuses on developing innovative machine learning models with multi-omics data, requiring strong expertise in bioinformatics and collaboration skills.

Qualifications

• PhD with 1-2 years experience, or Master’s with 3-5 years, or Bachelor’s with 5-7 years.
• Advanced experience with biological datasets preferred.
• Strong communication and collaboration skills.

Responsibilities

• Design and maintain pipelines for survival prediction.
• Perform integrative analyses to identify biomarkers.
• Lead data processing, feature engineering, and model deployment.

Skills

Bioinformatics

Data Science

Statistical Modeling

Machine Learning

Collaboration

Education

PhD in relevant field

Master’s degree in relevant field

Bachelor’s degree in relevant field

Tools

Python

R

DevOps tools

Job description

1 day ago Be among the first 25 applicants

Advanced Bio-Logic Solutions Corp. provided pay range

This range is provided by Advanced Bio-Logic Solutions Corp.. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$81.00/hr - $92.00/hr

Job Title: Sr. Data Scientist

Employment Type: Contract (6 months, potential to extend up to 3 years)

Compensation: $81–$92 per hour (W2, based on experience)

Schedule: Monday – Friday, core hours aligned with Pacific Time

Role Summary

We are seeking a highly skilled and motivated Sr. Data Scientist to join a cross-functional team supporting biomarker discovery and clinical data analysis in a biotech environment. This fully remote role focuses on developing advanced machine learning models using multi-omics and real-world data to drive innovation in personalized medicine. The ideal candidate will have strong expertise in bioinformatics, data science, and statistical modeling, with the ability to collaborate across scientific and technical teams.

Key Responsibilities

• Design, build, and maintain pipelines for survival prediction and endpoint association using multi-omics data
• Perform integrative analyses across clinical trial and real-world data to identify predictive safety/efficacy biomarkers
• Apply machine learning libraries in R and Python for modeling, validation, and interpretation
• Lead data QC, preprocessing, feature engineering, and model deployment workflows
• Communicate findings clearly to cross-functional stakeholders including R&D and clinical teams
• Contribute to publication-quality research in biomarker and translational science initiatives

Basic Qualifications

One of the following is required:

• PhD and 1–2 years of relevant scientific experience, or
• Master’s degree and 3–5 years of relevant scientific experience, or
• Bachelor’s degree and 5–7 years of relevant scientific experience

Preferred Qualifications

• Advanced experience analyzing large-scale biological datasets (genomic, transcriptomic, proteomic)
• Background in bioinformatics, biostatistics, or applied mathematics
• Expertise in clinical biomarker discovery and survival analysis
• Proficient in Python and R; familiar with DevOps tools for reproducible science
• Experience in pharma/biotech, especially supporting clinical development or translational science
• Strong communication, documentation, and collaboration skills in a remote-first team

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Engineering and Information Technology

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