Postdoctoral Associate - BioSciences

Rice University; Town of Texas (WI); Hybrid; USD 55,000 - 60,000; Full time

Job summary

Rice University’s Hennelly Lab in the Department of Biosciences seeks a Postdoctoral Research Associate in Evolutionary and Conservation Genomics to analyze modern and historical genomic datasets and study hybridization in mammalian systems. The project combines population genomics with computational methods in a collaborative setting.

The ideal candidate will have strong experience in population genomics and bioinformatics, with opportunities for mentoring students, grant writing, and

Qualifications

• Ph.D. in evolutionary biology, genomics, ecology, genetics, or related field by the start date.
• Experience with population and evolutionary genomics.
• Proficiency with R, Slurm, and Linux/Unix computing.
• Strong written and verbal communication skills.

Responsibilities

• Design and conduct population genomics analyses on large datasets.
• Prepare manuscripts and present at conferences.
• Mentor junior researchers and students.
• Coordinate permitting and sample collection logistics.
• Support collaborative lab environment and ongoing research.

Skills

Communication skills

Independent work

Collaborative research

Organizational skills

Education

Ph.D. in evolutionary biology / genomics / ecology / genetics

Tools

R

Slurm

Linux/Unix

Job description

JOB DESCRIPTION

Dr. Lauren Hennelly’s lab in the Department of Biosciences seeks to hire a Postdoctoral Research Associate in the field of Evolutionary and Conservation Genomics. The Hennelly Lab is hiring a Postdoctoral Research Associate in evolutionary and population genomics in mammalian systems. The project will involve analyzing genomic data from modern and historical/ancient genomic datasets, and using computational methods to assess patterns and evolutionary consequences of hybridization between different canid species. The initial contract is 1 year and renewable for 1 extra year. Our lab studies the evolutionary processes that shape genetic and phenotypic variation in animals. We integrate population genomic data, museum and ancient DNA, fieldwork, and phenotypic data to investigate the evolutionary histories of species, how anthropogenic change alters evolutionary trajectories of species, and the molecular basis of complex and adaptive traits ( https://hennellylab.com/ ).

IDEAL CANDIDATE STATEMENT

The ideal candidate will be a highly motivated postdoctoral research associate with strong experience in computational and bioinformatic methods, population genomic analysis, and an interest in addressing fundamental questions in evolutionary biology, including speciation, adaptation, and consequences of hybridization in mammalian systems. The postdoctoral researcher will have opportunities to collaborate with researchers, external collaborators, and PhD students in the Hennelly Lab. The position is designed to support the candidate’s professional development through opportunities in scientific publishing, grant writing, student mentorship, and scientific outreach.

WORKPLACE REQUIREMENTS

In-person work in Houston is preferred. However, we offer the flexibility of hybrid or fully remote work. Please note that fully remote eligibility is limited to residents of approved states. Hybrid roles integrate on-campus and remote work to foster both independence and collaboration. In accordance with Rice Policy 440, work arrangements are subject to periodic review and adjustment.

ANNUAL HIRING RANGE

$55,000-$60,000

• Exempt (salaried) positions under FLSA are not eligible for overtime.

This position is funded by a grant, soft and/or restricted funds. Continued employment is contingent on the renewal of funding.

ESSENTIAL FUNCTIONS

• Design and conduct research in evolutionary and population genomics analyses using large whole genome datasets
• Analyze genomic datasets (inferring local ancestry, population structure, phylogenomics, patterns of hybridization), data interpretation, prepare manuscripts for peer-reviewed publications, and present research findings at scientific conferences and seminars.
• Opportunities to mentor and/or train junior research team members, including undergraduate and graduate students in computational and genomic research methods.
• Assist with coordination of permitting procedures and logistics of sample collection.
• Contribute to a collaborative and supportive environment and ongoing research activities in the lab.

REQUIRED QUALIFICATIONS AND SKILLS

• Ph.D. in evolutionary biology, genomics, ecology, genetics, or related field by the start date
• Research background in population genomics, evolutionary genomics, conservation genomics, or related field
• Knowledge of analyzing large-scale genomic datasets
• Proficiency with computational and bioinformatic approaches for genomic data analysis, such as using R, slurm, on a Linux/Unix computing cluster
• Knowledge of population genetic and evolutionary theory and its application to genomic data
• Strong organizational and data-management skills
• Excellent written and verbal communication skills, including ability to communicate research findings through scientific publications and presentations
• Ability to work independently and collaboratively while contributing to a supportive, interactive research environment

PREFERRED QUALIFICATIONS

• Experience or interested in learning data analysis of degraded DNA genomic datasets from museum specimens, experience conducting analyses to study hybridization, introgression, and inferring demographic histories.

RICE MISSION AND VALUES

Rice University is committed to ensuring Equal Employment Opportunity and welcoming the fullness of diversity into our candidate pools. Rice considers qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national or ethnic origin, genetic information, disability, or protected veteran status. Rice also provides reasonable accommodations to qualified persons with disabilities. If an applicant requires a reasonable accommodation for any part of the application or hiring process, please get in touch with Rice University’s Human Resources Office via email at [e-mail] for support.

If you have any additional questions, please email us at [e-mail]. Thank you for your interest in employment with Rice University.