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Contract Remote Bioinformatics Scientist Jobs (NOW HIRING)

Tiny Health

Founded in 2020 and built by microbiome scientists and physicians, our testing platform reveals ... Remote-first, real overlap Our FTEs are based in North America and work core hours from 9am-6pm CST ...

Saviance

Senior Bioinformatics QA Engineer

BigRio is a remote-based, technology consulting firm with headquarters in Boston, MA. The Senior ... Required : • Bachelor's or Master's degree in Bioinformatics, Computer Science, Software ...

Saviance

Senior Bioinformatics Software Engineer

BigRio is a remote-based, technology consulting firm with headquarters in Boston, MA. The Senior ... Required : • Bachelor's degree in Computer Science, Software Engineering, Bioinformatics, or ...

System One

Data Scientist III

Ridgefield, CT · Remote

$45 - $50/hr

Contract Compensation: $45-$50/hr Work Model: Remote-offsite Hours : 40.0 Overview Leading ... Programming experience with Python and R for bioinformatic data analysis in unix-like systems.

System One

Data Scientist III

Ridgefield, CT · Remote

$45 - $50/hr

Contract Compensation: $45-$50/hr Work Model: Remote-offsite Hours : 40.0 Overview Leading ... Programming experience with Python and R for bioinformatic data analysis in unix-like systems.

System One

Data Scientist III

Ridgefield, CT · Remote

$45 - $50/hr

Contract Compensation: $45-$50/hr Work Model: Remote-offsite Hours : 40.0 Overview Leading ... Programming experience with Python and R for bioinformatic data analysis in unix-like systems.

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How much do contract remote bioinformatics scientist jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for contract remote bioinformatics scientist in the United States is $54.79, according to ZipRecruiter salary data. Most workers in this role earn between $44.95 and $62.50 per hour, depending on experience, location, and employer.

What are the most commonly searched types of Remote Bioinformatics Scientist jobs?

The most popular types of Remote Bioinformatics Scientist jobs are:

Contract Remote Bioinformatics Scientist jobs near you
Infographic showing various Contract Remote Bioinformatics Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 7% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $113,966 per year, or $54.8 per hour.

ML / Bioinformatics Data Scientist

IT America Inc

Dallas, TX • Remote

Contractor

Re-posted 8 days ago

Job description

Position: ML / Bioinformatics Data Scientist

Location: Remote (PST work hours)

Duration: Long term contract

About the Role:

We are seeking a highly motivated and collaborative Bioinformatics/ML scientist to join the Computational biology & Medicine department in Computational Sciences COE (Center of Excellence) within Genentech’s Research and Early Development (gRED). The successful candidate will contribute to a cross-functional project that will apply Machine Learning (ML) models to multi-modal datasets collected from clinical trials. This role requires a deep understanding of application of Machine Learning models, a background in biology, a passion for innovation, and a commitment to improving healthcare outcomes through cutting-edge technology.

We are looking for exceptional researchers with a passion for interdisciplinary research and technical problem-solving, and a proven ability to develop and implement research ideas. The candidate is expected to have worked on previous ML modeling projects and applying them to multi-modal datasets to be considered.

About the Project:

The goal of this project is to develop a machine learning model to predict a patient's risk for drug-induced liver toxicity based on a wide variety of patient characteristics including clinical, genetics, omics and safety labs. The focus will be harmonizing these diverse data sources, deriving new features, and  building machine learning models designed to identify a predictive signature that can distinguish between at-risk and not-at-risk patient populations.

Key Responsibilities:

  • Data centralization and harmonization
  • Applying ML methods on assembled dataset to identify patients’ risk for drug-induced liver toxicity.
  • Collaborate with interdisciplinary and cross-functional teams including biologists, chemists, data scientists, and other stakeholders.

Educational Background:

  • PhD degree in quantitative field ( e.g., Computer Science, Computational Biology, Bioinformatics, Statistics, Mathematics) 

Experience:

  • Proven track record of working with statistical modeling techniques, including ML methods, is required
  • Demonstrated interest in problems across biology as applied to the discovery and development of treatments for disease is preferred

Technical Skills:

  • Data Science & Programming: Expertise in Python/R for data manipulation, statistical analysis, and ML model building (required)
  • Multimodal Data & Modeling: Proven ability to work with diverse data types (omics, clinical, imaging) (required).
  • Knowledge of statistics and experience with survival analysis (required)
  • Domain & AI-specific Skills: Experience with NLP/LLMs for feature extraction from unstructured text, and a strong background in a neuroscience (preferred)

Soft Skills:

  • Excellent communication, collaboration, and problem-solving skills (required).

Publications:

  • Strong publication record and experience contributing to research communities.