Astrix
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This range is provided by Astrix. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Bioinformatics / Machine Learning Scientist (Contract) Location:
Remote (must be available during Pacific Time business hours)
Contract Type:
1‑year contract with possibility of extension
Start Date:
ASAP
Department:
Computational Biology & Medicine
Pay Rate:
$50–$66/hour (flexible for exceptional candidates) + Benefits
Position Overview We are seeking a highly motivated Bioinformatics / Machine Learning Scientist to join the Computational Biology & Medicine team within the Computational Sciences Center of Excellence. This role will support a high‑impact project focused on developing predictive machine learning models to assess patient risk for drug‑induced liver toxicity.
The successful candidate will play a key role in data harmonization, feature engineering, and advanced modeling, integrating diverse clinical and biological datasets to identify predictive signatures that distinguish at‑risk and not‑at‑risk patient populations.
Key Responsibilities
Centralize, curate, and harmonize multimodal datasets including clinical, genetic, omics, and safety laboratory data
Engineer and derive meaningful features from structured and unstructured data sources
Apply advanced machine learning and statistical modeling techniques to predict patient risk for drug‑induced liver toxicity
Perform survival analysis and other relevant statistical methods as part of model development
Required Qualifications
PhD
in a quantitative discipline such as Computer Science, Computational Biology, Machine Learning, Bioinformatics, Statistics, or Mathematics
Strong expertise in
Python and/or R
for data manipulation, statistical analysis, and machine learning model development
Proven experience applying statistical modeling and machine learning methods to complex biological datasets
Demonstrated ability to work with and integrate diverse data types, such as
omics, clinical, imaging, and safety data
Solid understanding of statistics, including
survival analysis
Domain Expertise
Demonstrated interest in biological problems related to
drug discovery and development
Experience contributing to scientific research, including a
strong publication record
Must be authorized to work in the United States without sponsorship
Preferred Qualifications
Experience using
NLP and Large Language Models (LLMs)
for feature extraction from unstructured text
Background in
neuroscience
Experience working in pharmaceutical or biomedical research environments
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Science
Industries IT Services and IT Consulting
#J-18808-Ljbffr
This range is provided by Astrix. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Bioinformatics / Machine Learning Scientist (Contract) Location:
Remote (must be available during Pacific Time business hours)
Contract Type:
1‑year contract with possibility of extension
Start Date:
ASAP
Department:
Computational Biology & Medicine
Pay Rate:
$50–$66/hour (flexible for exceptional candidates) + Benefits
Position Overview We are seeking a highly motivated Bioinformatics / Machine Learning Scientist to join the Computational Biology & Medicine team within the Computational Sciences Center of Excellence. This role will support a high‑impact project focused on developing predictive machine learning models to assess patient risk for drug‑induced liver toxicity.
The successful candidate will play a key role in data harmonization, feature engineering, and advanced modeling, integrating diverse clinical and biological datasets to identify predictive signatures that distinguish at‑risk and not‑at‑risk patient populations.
Key Responsibilities
Centralize, curate, and harmonize multimodal datasets including clinical, genetic, omics, and safety laboratory data
Engineer and derive meaningful features from structured and unstructured data sources
Apply advanced machine learning and statistical modeling techniques to predict patient risk for drug‑induced liver toxicity
Perform survival analysis and other relevant statistical methods as part of model development
Required Qualifications
PhD
in a quantitative discipline such as Computer Science, Computational Biology, Machine Learning, Bioinformatics, Statistics, or Mathematics
Strong expertise in
Python and/or R
for data manipulation, statistical analysis, and machine learning model development
Proven experience applying statistical modeling and machine learning methods to complex biological datasets
Demonstrated ability to work with and integrate diverse data types, such as
omics, clinical, imaging, and safety data
Solid understanding of statistics, including
survival analysis
Domain Expertise
Demonstrated interest in biological problems related to
drug discovery and development
Experience contributing to scientific research, including a
strong publication record
Must be authorized to work in the United States without sponsorship
Preferred Qualifications
Experience using
NLP and Large Language Models (LLMs)
for feature extraction from unstructured text
Background in
neuroscience
Experience working in pharmaceutical or biomedical research environments
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Science
Industries IT Services and IT Consulting
#J-18808-Ljbffr