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Associate Bioinformatics Scientist Jobs (NOW HIRING)

Computational associates in our laboratory regularly present their own work and contribute to the ... Prepares data for utilization by other scientists * Monitors new data from public databases, finds ...

Associate Data Scientist

Burlington, NC · Hybrid

$49K - $49K/yr

As an Associate Data Scientist , you will join a collaborative team dedicated to solving complex ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics ...

New

Associate Data Scientist

Durham, NC · Hybrid

$57K - $57K/yr

As an Associate Data Scientist , you will join a collaborative team dedicated to solving complex ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics ...

New

Associate Data Scientist

Durham, NC · On-site

$57K - $57K/yr

As an Associate Data Scientist , you will join a collaborative team dedicated to solving complex ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics ...

Strong Scientific understanding and experience in Bioinformatics * Experience in Pharmaceutical research a plus * The successful candidate will have experience with more than one of the following ...

The Hussman Institute has an exciting opportunity for an Associate Scientist (AS) position. The ... As a certified bioinformatician, the AS will also be involved in the functional genomic analysis.

The Hussman Institute has an exciting opportunity for an Associate Scientist (AS) position. The ... As a certified bioinformatician, the AS will also be involved in the functional genomic analysis.

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Associate Bioinformatics Scientist information

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How much do associate bioinformatics scientist jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for associate bioinformatics scientist in the United States is $35.92, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $40.87 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate Bioinformatics Scientist, and why are they important?

To thrive as an Associate Bioinformatics Scientist, you need a solid background in molecular biology, statistics, and computer science, usually demonstrated by a degree in bioinformatics or a related field. Familiarity with programming languages such as Python or R, experience with bioinformatics tools (like BLAST, GATK), and knowledge of data visualization platforms are typically required. Strong analytical thinking, effective communication, and problem-solving abilities help you interpret complex data and collaborate with multidisciplinary teams. These skills are crucial for generating meaningful biological insights from large datasets and advancing research projects efficiently.

What are Associate Bioinformatics Scientists?

Associate Bioinformatics Scientists are entry- to mid-level professionals who analyze and interpret complex biological data, often using computational tools and techniques. They typically work in research institutions, pharmaceutical companies, or healthcare organizations, supporting projects related to genomics, drug discovery, or personalized medicine. Their responsibilities include managing large datasets, developing bioinformatics pipelines, and collaborating with other scientists to extract meaningful insights from biological data. This role often requires proficiency in programming languages such as Python or R, as well as a strong foundation in biology and statistics. Associate Bioinformatics Scientists play a crucial role in advancing scientific discoveries by bridging the gap between biology and data science.

What are some typical challenges faced by Associate Bioinformatics Scientists when working on interdisciplinary research teams?

Associate Bioinformatics Scientists often collaborate with biologists, clinicians, and software engineers, which can present challenges in translating complex biological questions into computational analyses. Navigating differing technical languages and aligning on project goals requires strong communication and adaptability. Additionally, managing evolving research priorities and handling large, diverse datasets demand organizational skills and the ability to quickly learn new analytical tools. Building strong relationships with team members helps bridge knowledge gaps and ensures more effective project outcomes.
What cities are hiring for Associate Bioinformatics Scientist jobs? Cities with the most Associate Bioinformatics Scientist job openings:
What are the most commonly searched types of Bioinformatics Scientist jobs? The most popular types of Bioinformatics Scientist jobs are:
What states have the most Associate Bioinformatics Scientist jobs? States with the most job openings for Associate Bioinformatics Scientist jobs include:
Infographic showing various Associate Bioinformatics Scientist job openings in the United States as of June 2026, with employment types broken down into 94% Part Time, 2% Temporary, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $74,723 per year, or $35.9 per hour.
Postdoctoral Associate - Clinical Bioinformatics

Postdoctoral Associate - Clinical Bioinformatics

Baylor College of Medicine

Houston, TX • On-site

Full-time

Posted 10 days ago


Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

54th of 541 rated colleges and universities


Job description

Summary

The lab is seeking a postdoctoral researcher to collaborate on groundbreaking projects integrating patient-level data with artificial intelligence (AI) and machine learning (ML) methodologies. The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing algorithms, and generating insights to improve patient care. The Postdoctoral Associate will write manuscripts, present research findings locally and nationally, and contribute to advancing clinical informatics.

Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.

Job Duties
  • Collaborates on the development of AI/ML/NLP-driven solutions for healthcare challenges.
  • Reads and interprets patient-level data to support the development of AI/ML/NLP algorithms for clinical applications.
  • Annotates medical notes and datasets to facilitate training and validation of predictive models.
  • Collaborates with data scientists, machine learning engineers, and clinical collaborators to design, implement, and validate innovative algorithms.
  • Conducts exploratory data analysis to extract meaningful insights from complex datasets.
  • Writes manuscripts and prepare presentations for local, national, and international conferences.
  • Conducts literature reviews and maintains awareness of advancements in bioinformatics, AI, and clinical data analysis.
  • Applies foundational knowledge of biostatistics and AI principles to inform study design and algorithm development.
  • Tests, debugs, and validates models in partnership with technical and clinical teams.
  • Ensures adherence to ethical guidelines for the use of patient data in research and development.
  • Works closely with the Artificial Intelligence in Health Lab (AIH-Lab) and the BD-STEP program to advance clinical informatics research.
  • Leverages clinical expertise to refine machine learning models, ensuring clinical relevance and accuracy.
  • Collaborates on the integration of clinical datasets into broader health informatics systems.
  • Provides expert annotations for training large language models (LLMs) and NLP algorithms, focusing on healthcare-specific use cases.
  • Presents findings in department meetings and seminars and support grant writing and funding initiatives.
  • Mentors trainees or junior team members in clinical informatics and research methods as needed.
  • Performs other job-related duties as assigned.
Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.
Preferred Qualifications
  • MD passionate about clinical bioinformatics and driving innovation in healthcare. 
  • Able to write manuscripts, present research findings locally and nationally, and contribute to advancing clinical informatics.
  • Background in basics statics.
  • Background in basics AI.

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