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Postdoctoral In Computational Ecology Jobs (NOW HIRING)

MyGradJob

Postdoctoral

Chapel Hill, NC · On-site

$41K - $56K/yr

Interested in recruiting a postdoctoral fellow in computational chemical genomics. The project entails the rational expansion of the GSK Published Kinase Inhibitor Set (PKIS) to enrich the current ...

New York University

POSTDOCTORAL ASSOCIATE

New York, NY · On-site

$90K/yr

Description POSTDOCTORAL ASSOCIATE New York University Tandon School of Engineering The Chemical ... Proficiency in computational tools such as MATLAB, Pyt Salary range In compliance with NYC's Pay ...

Bayer

$124K - $187K/yr

Drug Discovery - Computational Biologist Multi-Omics We are looking for a highly creative and ... in cross-disciplinary teams Preferred qualifications: 4+ years of postdoctoral experience or ...

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Postdoctoral In Computational Ecology information

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How much do postdoctoral in computational ecology jobs pay per year?

As of Jun 7, 2026, the average yearly pay for postdoctoral in computational ecology in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Computational Ecology, and why are they important?

To thrive as a Postdoctoral Researcher in Computational Ecology, you need a solid background in ecology, advanced statistical analysis, and strong programming skills, typically supported by a PhD in ecology, biology, or a related field. Proficiency with statistical software (such as R or Python), spatial analysis tools (like GIS), and experience with high-performance computing are often required. Excellent problem-solving abilities, collaboration, and scientific communication skills help you effectively share findings and work within interdisciplinary teams. These competencies are crucial for advancing ecological research, interpreting complex data, and contributing valuable insights to the scientific community.

What is the difference between Postdoctoral In Computational Ecology vs Postdoctoral In Ecology?

AspectPostdoctoral In Computational EcologyPostdoctoral In Ecology
Required CredentialsPh.D. in Ecology, Environmental Science, or related field; strong programming skillsPh.D. in Ecology, Environmental Science, or related field; research experience in fieldwork or data analysis
Work EnvironmentResearch labs, computational centers, often interdisciplinary teamsField sites, research labs, academic institutions
Employer & Industry UsageUniversities, research institutes, government agencies focusing on ecological modelingUniversities, conservation organizations, government agencies conducting ecological research

Postdoctoral In Computational Ecology typically emphasizes programming, modeling, and data analysis within computational environments, while Postdoctoral In Ecology may focus more on fieldwork, experimental design, and ecological data collection. Both roles require a Ph.D. and are common in academic and research settings, but they differ mainly in their focus areas and work environments.

What are the typical collaboration opportunities for a Postdoctoral Researcher in Computational Ecology within an academic setting?

As a Postdoctoral Researcher in Computational Ecology, you’ll frequently collaborate with interdisciplinary teams, including field ecologists, data scientists, and environmental policy experts. Your role often involves integrating large datasets, developing models, and co-authoring papers, so strong communication with both computational and non-computational colleagues is essential. Many research groups also offer opportunities to mentor graduate students, contribute to grant proposals, and participate in international collaborations, which can further enhance your professional network and open doors for future academic or industry positions.

What does a Postdoctoral Researcher in Computational Ecology do?

A Postdoctoral Researcher in Computational Ecology applies computational methods, such as mathematical modeling, data analysis, and simulation, to study ecological systems and processes. They work on projects that analyze large datasets, develop predictive models, and collaborate with interdisciplinary teams to answer complex ecological questions. Their research often informs conservation efforts, environmental policy, and our understanding of how ecosystems respond to changes like climate change or human activity.
Infographic showing various Postdoctoral In Computational Ecology job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 78% Full Time, and 21% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.

Postdoctoral Research Associate-Computational Biology

Tamus

Bryan, TX

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago

Job description

Job Title

Postdoctoral Research Associate-Computational Biology

Agency

Texas A&M University Health Science Center

Department

Cell Biology and Genetics

Proposed Minimum Salary

Commensurate

Job Location

Bryan, Texas

Job Type

Staff

Job Description

Our Commitment

Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents& livedexperiences. Embracing varying opinions and perspectives strengthens ourcorevalueswhich are: Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service.

Whowe are

As one of the fastest-growing academic health centers in the nation,Texas A&M Healthencompasses five colleges andnumerouscenters and institutes working together to improve health through transformative education, innovativeresearchand team-based health care delivery.

What we want

The Postdoctoral Research Associate is responsible for conducting lab experiments, analyzing and communicating data in the form of primary research articles, aiding in grant writing, supervising undergraduate students, and performing routine lab duties as required.

What you need to know

Salary:Will becommensuratebased on the selected hire's education and experience.

Location: Bryan, TX

Schedule: Full-Time; This position may require work beyond normal office hours and/or work on weekends

Please note:This position is grant funded; future employment may be contingent upon future funding.

Apply!Submitting a cover letter, resume/CV toassistus with the review process. You may upload these documents to the application under CV/Resume.

Required educations and experience

  • Appropriate PhD in a related field.

Preferred qualifications

  • PhD, Computational Biology, Bioinformatics, Computer Science

  • Training in statistics, and programming experience in a UNIX/Linux environment using programming languages such as Python, R, and/or Perl is required.

  • Experience in analysis of genomis /trancriptomic /epigenomic data including RNA-seq, ATAC-seq, and ChIP-seq.

  • Experience in working with high-performance computing environment.

  • Experience in data management and developing data-processing pipelines.

  • Proficiency in programming languages such as R, Python, Matlab.

  • Familiarity with software development best practices (e.g., unit testing, version control).

  • Familiarity with inferential statistics and machine learning.

  • Expertise in computational biology and ability to devise innovative analytical approaches to high-volume genomic, epigenomic, and gene expression data.

  • Capable of working within a team of wet and dry lab researchers.

Responsibilities

Data Analysis

  • Performs hypothesis-driven computational research with a clear understanding and use of controls.

  • Uses computational methods to analyze large-scale sequencing data and formulate quantitative models.

  • Interprets the data and explain the results in research discussion.

  • Implements, applies, and evaluates tools to process, integrate, and visualize high-throughput sequencing datasets

Data Presentation

  • Explores and brings novel approaches and ideas to their project by collaborating with other labs at TAMU and other collaborators.

  • Provides support to lab members and collaborators in designing experiments and analyzing datasets.

  • Presents their work at group meetings and write up their work for publication.

  • Communicates scientific results at lab meetings and scientific conferences

Software Development andData Management

  • Explores and brings novel approaches and ideas to their project by collaborating with other labs at TAMU and other collaborators.

  • Provides support to lab members and collaborators in designing experiments and analyzing datasets.

  • Maintains, updates software on TAMU cluster for the group.

  • Contributes to our code base and to keep your own code in a github (or equivalent) repository with version control.

Lab Management

  • Supervises undergraduate and/or graduate students and other laboratory, technical or field staff involved in research.

Why Texas A&M University?

We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration.Amenities associated with a major university, such as sporting and cultural events,state-of-the-artrecreation facilities, the Bush Library and Museum, and much more await you.Experience all that a big city has to offer but witha reasonablecost-of-living and no long commutes.

  • Medical,prescription drug,dental,vision,life and AD&D,flexible spending accounts,and long-term disability insurancewith Texas A&M contributing to employee health and basic life premiums

  • 12-15 daysof annual paid holidays

  • Up toeight hours of paid sick leaveand at leasteight hours of paid vacationeach month

  • Automatic enrollment in theTeacher Retirement System of Texas

  • Health and Wellness:Free exercise programs and release time

  • Professional Development: All employees have access to freeLinkedIn Learningtraining, webinars, and limited financial support to attend conferences, workshops, and more

  • Educational release time and tuition assistancefor completing a degree while a Texas A&M employee

  • Living Well,a program at Texas A&M that has been built by employees, for employees

Instructions to Applicants:Applications received by Texas A&M University must either have all job application data entered, or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.

Apply