Scientist, Bioinformatics
InVitro Cell Research
Location
Remote
Job Type
Full-time
Posted
June 14, 2026
Views
38
Salary Range
$155k - $230k
USD
Job Description
InVitro Cell Research seeks computational biologists to perform multi-omics analyses on biofluid and cell line datasets. Responsibilities include biomarker discovery, pipeline development, and integrative analysis to diagnose complex diseases using personalized medicine approaches.
Key Requirements
- MS/PhD in biomedical science with bioinformatics and data science expertise
- Machine learning proficiency (Python preferred)
- Multi-omics integration and systems biology knowledge
- Strong statistical foundation
Compensation: $155,000 - $230,000 base salary, plus $10,000 - $40,000 additional compensation. US work authorization required (no sponsorship).
Frequently Asked Questions
Where is the job located, and is it remote, hybrid, or on-site?
The position is fully remote with InVitro Cell Research.
What are the required qualifications and experience for this role?
You need an MS or PhD in biomedical science with expertise in bioinformatics and data science. Required skills include machine learning proficiency (Python preferred), multi-omics integration, systems biology knowledge, and a strong statistical foundation.
What are the key responsibilities of the Scientist, Bioinformatics?
Key responsibilities include performing multi-omics analyses on biofluid and cell line datasets, biomarker discovery, pipeline development, and integrative analysis to diagnose complex diseases using personalized medicine approaches.
What is the salary range for this position?
The compensation includes a base salary of $155,000 to $230,000, plus $10,000 to $40,000 in additional compensation.
Does this position offer visa sponsorship?
No, US work authorization is required and visa sponsorship is not offered.
Job Information
Source:
manual
AI Relevance:
95/100
(Highly relevant)
Remote Type:
remote
Experience:
Senior
Allowed Locations:
Worldwide
Skills & Tags:
bioinformatics
multi-omics
biomarker discovery
machine learning
Python
systems biology
computational biology
personalized medicine
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