Senior Bioinformatics Scientist

BayOne Solutions; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

Join a forward-thinking company as a Bioinformatics/AI Scientist in Oncology, where you will leverage your expertise in machine learning and data analysis to drive innovative research in cancer biology. This remote position offers the opportunity to work with cutting-edge technologies and collaborate with a team of experts in computational biology. Your role will involve benchmarking ML models, producing insightful reports, and contributing to the advancement of predictive models in pharmaceutical research. If you are passionate about applying AI methods to make a real impact in healthcare, this is the perfect opportunity for you.

Qualifications

• PhD in relevant fields with 6+ years of experience in data analysis.
• Experience in applying ML architectures to omics data.

Responsibilities

• Benchmark ML models using large-scale datasets.
• Document code and findings, standardizing analytical workflows.

Skills

Python

Machine Learning

Data Analysis

Shell Scripting

Git

Communication Skills

Education

PhD in Computer Science

PhD in Computational Biology

PhD in Bioinformatics

Tools

High-Performance Computing

Job description

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This range is provided by BayOne Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$50.00/hr - $60.00/hr

Job Title: Bioinformatics/AI Scientist - Oncology

Location: Remote

Position Type: 9+ Months Contract

Pay Range: $50-60/hr on W2

Responsibilities:

• Work under the supervision of group leaders in Computational Biology and Translation to benchmark
• ML/AI models integrating large-scale multiomics preclinical and clinical datasets.
• Write scalable Python code to benchmark the performance of state-of-the-art ML models on predefined
• preclinical and clinical tasks.
• Produce reports on the performance of different ML methods and present results.
• Suggest new directions for benchmarking and improvement to predictive models.
• Document code, analysis, and findings, including standardization of analytical workflows.

Requirements

• PhD in Computer Science, Computational Biology, Bioinformatics, or a related field.
• Extensive experience (6+ years) in large-scale bulk data analysis (RNA, WES), including gold-standard
• methods and novel, advanced analytical techniques.
• Experience (3+ years) in training and applying modern ML architectures and models to omics data.
• Expertise in cancer biology or clinical omics data.
• Proficiency in Python, shell scripting.
• Experience working with Git and high-performance computing.
• High self-motivation and commitment to delivering high-quality results.
• Ability to produce rigorous analysis with minimal supervision, including meeting key deadlines and
• Excellent communication skills and experience working as part of a team.
• Curiosity and desire to learn more about applications of AI methods to pharmaceutical research.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Analyst, Engineering, and Information Technology

• Industries

  Pharmaceutical Manufacturing, IT Services and IT Consulting, and Medical Practices

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