This is an in-person position. Starting dates for the position will be between April and September 2027. Review of applications will begin on December 1, 2026. Please submit a 1-page cover letter describing your relevant experience, a 1-page synthesis proposal citing up to 10 references (references are not included in the word count), contact information for three references, and a CV in that order as a single PDF. Please use 10-point Arial font and 1-inch margins. Applications will be reviewed starting on December 1 and then on a rolling basis until the position is filled.
Additional Information
Northeastern University considers factors such as candidate work experience, education, and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit-eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement, as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
MINIMUM QUALIFICATIONS
Required Qualifications
PhD degree in Biology, Ecology and Evolution, Bioinformatics, Computational Biology, Genetics, or a related field
A track record of first-author publications, or submitted manuscripts under review
Proficiency in population genomics and bioinformatics
Strong written and oral communication skills
Experience with R, Python, version control (Git), reproducibility, containerization (Docker, Singularity/Apptainer), and working in HPC computing environments
Experience with mentoring and teaching
Preferred Qualifications
Experience conducting or contributing to meta-analyses or comparative studies spanning multiple taxa, populations, or datasets
Familiarity with tools for demographic inference, selection scans, or landscape genomics
Experience working with large datasets in HPC environments
Interest in marine evolution and familiarity with challenges of working in marine environments
Track record of excellent mentoring, development of educational resources, and teaching
KEY RESPONSIBILITIES & ACCOUNTABILITIES
The level and mixture of the duties may vary by position but typically include a combination of the following responsibilities.
Collaborate and coordinate with members of the network, including wet lab and computational team members, to define data standards, ensure analytical reproducibility, and assist with project goals.
Design and lead synthetic analyses across multiple population genomic datasets, identifying broad patterns in genetic diversity, population structure, demographic history, or adaptation.
Disseminate research; Write and publish first-author manuscripts in peer-reviewed journals
Contribute to the intellectual environment and management of the network, including mentoring, development of education pipelines, documentation, and organizing and leading workshops and trainings.
Position Type
Research
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Compensation Grade/Pay Type
108S
Expected Hiring Range
$60,315.00 - $85,192.50
With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.
