ZipRecruiter

Log In

2

Remote Bioinformatics Analyst Jobs in Dallas, TX

All JobsBioinformatics Analyst JobsRemote Bioinformatics Analyst JobsRemote Bioinformatics Analyst Jobs in Dallas, TX

Remote Bioinformatics Analyst information

See Dallas, TX salary details

$6

$45

$81

How much do remote bioinformatics analyst jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote bioinformatics analyst in Dallas, TX is $45.33, according to ZipRecruiter salary data. Most workers in this role earn between $35.67 and $48.51 per hour, depending on experience, location, and employer.

What is a remote bioinformatics analyst?

A Remote Bioinformatics Analyst is a professional who uses computer science, statistics, and biology to analyze and interpret complex biological data, such as genetic sequences, from a remote location. They typically work with large datasets to assist in scientific research, drug development, or medical diagnostics. By working remotely, they leverage digital tools and secure data platforms to collaborate with teams and contribute to projects without being physically present in a traditional lab or office. Their work supports advancements in genomics, personalized medicine, and biotechnology.

What are the key skills and qualifications needed to thrive as a remote bioinformatics analyst?

To thrive as a Remote Bioinformatics Analyst, you need a solid background in biology, statistics, and computer science, typically supported by a relevant degree or advanced training in bioinformatics or computational biology. Proficiency with programming languages such as Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and familiarity with databases and version control systems are essential. Strong analytical thinking, self-motivation, and clear virtual communication skills help you collaborate effectively with distributed teams and interpret complex data. These skills and qualities are crucial for delivering accurate scientific insights and supporting data-driven research remotely.

How do remote bioinformatics analysts typically collaborate with research teams across different time zones?

Remote Bioinformatics Analysts often work with interdisciplinary teams, including biologists, data scientists, and clinicians located in various regions. Effective collaboration is achieved through regular virtual meetings, shared project management tools, and clear documentation of workflows and analyses. Flexibility in scheduling and proactive communication are key to ensuring that project milestones are met and that all team members are aligned on objectives and outcomes. Many organizations also encourage the use of collaborative coding platforms and cloud-based data repositories to streamline teamwork.

What are the most commonly searched types of Bioinformatics Analyst jobs in Dallas, TX?

The most popular types of Bioinformatics Analyst jobs in Dallas, TX are:

What are popular job titles related to Remote Bioinformatics Analyst jobs in Dallas, TX?

For Remote Bioinformatics Analyst jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Remote Bioinformatics Analyst jobs in Dallas, TX look for?

The top searched job categories for Remote Bioinformatics Analyst jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Remote Bioinformatics Analyst jobs?

Cities near Dallas, TX with the most Remote Bioinformatics Analyst job openings:

Remote Bioinformatics Analyst jobs near you
Infographic showing various Remote Bioinformatics Analyst job openings in Dallas, TX as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $94,282 per year, or $45.3 per hour.

ML / Bioinformatics Data Scientist

IT America Inc

Dallas, TX • Remote

Contractor

Re-posted 3 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.