Computational Biology Scientist — Genotype-to-Phenotype ML

Seeds Renewables; Dallas (TX); On-site; USD 85,000 - 115,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Excellent paid time off

Flexible spending accounts

Company matched 401k retirement plan

Paid parental leave

Education reimbursement

Job summary

Seeds Renewables in Dallas is seeking a Computational Biologist to tackle genotype-to-phenotype challenges. The role involves bioinformatics analysis and collaboration with scientists to support de-extinction efforts.

Candidates should have a Master’s with 2 years experience or a PhD, strong analytical skills, and proficiency in ML/AI frameworks. The position offers competitive benefits including medical coverage and flexible spending accounts.

Qualifications

• 2+ years of bioinformatics experience in genomics, comparative genomics, functional genomics.
• Proven ability in building ML/AI models linking genotype and phenotype.
• Experience in using data in HPC (Linux/cloud) environments.

Responsibilities

• Build machine learning models using diverse datasets.
• Run genomic analysis and develop analysis tools in R/Python.
• Prepare reports to communicate findings.

Skills

Bioinformatics experience

Machine Learning / Artificial Intelligence

Applied Statistics

Scripting languages (Python, R)

Handling large-scale genomic data

Database design and maintenance

Education

Masters with 2 years experience or PhD

Tools

Pytorch

Tensorflow

R

Python

MySQL

GIT version control

Job description

Seeds Renewables in Dallas is seeking a Computational Biologist to tackle genotype-to-phenotype challenges. The role involves bioinformatics analysis and collaboration with scientists to support de-extinction efforts.

Candidates should have a Master’s with 2 years experience or a PhD, strong analytical skills, and proficiency in ML/AI frameworks. The position offers competitive benefits including medical coverage and flexible spending accounts.