2-5 years of hands-on experience in bioinformatics, with
demonstrated work in genomics
Proficiency in short-read alignment tools such as BWA, Bowtie2,
and STAR
Familiarity with downstream processing tools such as SAMtools,
Genome Analysis Toolkit (GATK), and Picard
Experience writing pipelines using workflow management systems
such as Snakemake or Nextflow
Solid scripting skills in Python, R, and Bash
Comfort working on the command line, including in a Unix/Linux
environment
Familiarity with high-performance computing (HPC) and
high-throughput computing (HTC) environments and job schedulers
such as SLURM and HTCondor
Experience using application programming interfaces (APIs) to
send and receive data and/or experience using tools to transfer
large amounts of data between remote servers
Preferred
- PhD or 3 years of post-Master's experience preferred
- Experience with population genomic analyses and tools such as
ANGSD, PLINK, ADMIXTURE, TreeMix, or similar platforms
- Familiarity with handling non-model organism genomes or
low-coverage sequencing data
- Experience with version control systems such as Git and
containerization technologies including Docker and
Singularity/Apptainer
- Track record of contributing to published research
Key Responsibilities & Accountabilities
- 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, build, and maintain reproducible bioinformatics
pipelines capable of scaling across many population genomic
datasets
- Align short-read sequencing data, including whole-genome and
Restriction Site Associated DNA Sequencing (RADseq) datasets, to
reference genomes using standard and emerging tools, and evaluate
mapping quality across diverse datasets
- Perform downstream population genomic analyses, including
variant calling, filtering, and quality control
- Document pipelines and analyses clearly for internal use and
publication
- Develop educational tutorials and assist with website
development
- Collate publicly available data and metadata, corresponding
with authors as necessary to ensure data standards
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:
109S
Expected Hiring Range:
$67,855.00 - $95,845.00
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.
To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Nahant-MA/Bioinformatician---Lotterhos-Lab_R142449
je-e661a6d1b5fe43c5a2f7ac0defd9676f
