Principal Computational Biologist

BioTalent; Boston (MA); On-site; USD 120,000 - 180,000; Full time

Job summary

An innovative biotech startup is seeking a Principal Computational Biologist to leverage AI in revolutionizing human tissue production for cell therapies. This role is perfect for those passionate about integrating large-scale transcriptomic data into scalable software solutions. The successful candidate will lead research initiatives, analyze extensive datasets, and design bioinformatics pipelines. Join a dynamic team at the forefront of AI and biology, contributing to groundbreaking therapies that address critical healthcare needs. This is an exciting opportunity to shape the future of biotechnology in a fast-paced environment.

Benefits

Medical Insurance

Vision Insurance

401(k)

Flexible Work Options

Qualifications

• 3+ years of experience analyzing large-scale genomic datasets.
• Strong computational/statistical skills in biological data analysis.

Responsibilities

• Lead research initiatives in bioinformatics and AI-driven stem cell biology.
• Analyze transcriptomic datasets to inform machine learning models.

Skills

Biological Data Analysis

Transcriptomic Data Analysis

Machine Learning Model Development

Python Programming

Statistical Skills

Education

MSc in Computational Biology

PhD in Bioinformatics

Tools

PyTorch

Bioinformatics Pipelines

Job description

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Senior Consultant | Commercial, AI/ML, Computational Science, Computational Biology

A venture backed biotech start up, developing AI foundational models to revolutionize the production of human tissue for cell therapies at scale is looking to bring on a Principal Computational Biologist with deep expertise in biological data analysis to bridge the gap between cutting-edge research and impactful real-world applications.

This role is ideal for someone with a passion for large-scale transcriptomic data and its integration into scalable software and machine learning–driven platforms. You will contribute to single-cell and spatial transcriptomics analysis and help translate scientific breakthroughs into innovative cell replacement therapies.

Responsibilities

• Lead new research initiatives at the interface of bioinformatics and AI-driven stem cell biology
• Analyze extensive transcriptomic datasets to inform machine learning models and validate biological hypotheses
• Design and optimize bioinformatics pipelines for the preprocessing, analysis, and interpretation of high-dimensional transcriptomic data
• Stay current with advances in bioinformatics and AI, especially in developmental biology, single-cell multi-modal analysis, and spatial transcriptomics
• Work independently in a fast-paced startup environment, helping shape the computational biology roadmap
• Mentor and provide technical guidance to team members
• Collaborate cross-functionally with computational biologists, ML researchers, and software engineers

Qualifications

• MSc or higher in Computational Biology, Bioinformatics, Computer Science, or related field
• 3+ years of experience analyzing large-scale genomic and transcriptomic datasets (e.g., single-cell RNA-seq, spatial omics)
• 6+ years of software, ML, or analytics development in industry settings
• Strong computational/statistical skills with a track record in high-dimensional biological data analysis
• Excellent programming skills (preferably Python or another object-oriented language)
• Experience developing and evaluating machine learning models (e.g., PyTorch)
• A passion for data-driven biology and its potential to revolutionize healthcare

Preferred Qualifications

• Domain knowledge in developmental biology or stem cell research
• Experience in startup or fast-paced environments
• PhD with a strong publication record in bioinformatics or computational biology
• Experience in technically leading product development or cross-functional teams
• Take on a technical leadership role within a mission-driven company
• Collaborate with a talented and enthusiastic team at the forefront of AI and cell biology
• Contribute to groundbreaking therapies that address unmet medical needs
• Competitive salary and benefits, including flexible work options

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Science and Research

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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