Talantix.io
General Control•12.04.26
AI SCORE 8.5

Platform Scientist - Remote Role in Biotech

$120K–$150K/year
RemoteBiotechVisa
Protein Engineering•Molecular Biology•Data Analysis•Python•Flow Cytometry•CRISPR

About the Role

We are seeking a talented Platform Scientist to join our innovative team in a fully remote capacity. As a Platform Scientist, you will drive protein engineering campaigns from start to finish, discovering and refining epigenetic editor systems. This role is pivotal in establishing the operational and scientific infrastructure for our platform's growth. If you thrive in a fast-paced environment and enjoy transforming complex workflows into streamlined processes, this Platform Scientist remote position is for you.

What You'll Do

  • Own the plasmid library lifecycle, including cloning strategies, library QC, and sequence verification.
  • Design and execute delivery strategies using lentiviral vectors and mRNA-based modalities.
  • Execute epigenetic editor screening campaigns in human cell lines, utilizing flow cytometry for scalable readouts.
  • Analyze large datasets to assess target expression kinetics and maintain rigorous electronic lab notebook (ELN) records.
  • Identify opportunities for outsourcing versus in-house development, managing partnerships effectively.

Requirements

  • PhD in molecular biology, biochemistry, or a related field with 0-3 years of experience, or MS/BS with 4+ years in a relevant industry.
  • Deep hands-on expertise in mammalian molecular biology and experience with arrayed screening formats.
  • Proficiency in Python for data analysis, including writing scripts for processing large datasets.
  • Experience with epigenetic editing techniques and familiarity with NGS-based assays.
  • Track record of managing complex research projects independently.

Nice to Have

  • Experience setting up or scaling a research lab in an early-stage company.
  • Direct experience with CRISPR-based gene regulation.
  • Familiarity with LNP-, AAV-, or mRNA-based delivery systems.

What We Offer

  • Competitive salary ranging from $120,000 to $150,000 per year.
  • Meaningful equity as a foundational member of our team.
  • Comprehensive benefits package including medical, dental, and 401(k).
  • Direct collaboration on unsolved scientific problems with therapeutic relevance.
  • Opportunities to shape the scientific culture and operational DNA of our company.
  • Visa sponsorship available where applicable.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This remote Platform Scientist role offers a unique opportunity to shape the future of biotech with competitive compensation and equity. Ideal for innovative scientists!

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in Python programming for data analysis and workflow automation, with experience in libraries such as NumPy and Pandas to analyze protein engineering data efficiently.

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Self-motivated and adaptable, able to thrive in a fully remote environment, managing time effectively while collaborating with cross-functional teams using tools like Slack and Zoom.

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Strong background in molecular biology techniques, particularly with CRISPR and flow cytometry, demonstrating a hands-on approach to experimental design and execution.

Learning Resources

→Protein Engineering: Principles and Practicecourse
→Introduction to CRISPR Gene Editingcourse
→Flow Cytometry: A Practical Approachguide

Career Path

Platform Scientist(Now)→Senior Platform Scientist(2-4 years)→Lead Scientist/Project Manager(4-6 years)

Market Overview

Market Size 2024
$7.5B
Annual Growth
12.3%
AI Adoption in Biotech
45%
Investment in Protein Engineering
+150%
Labour Demand for Biotech Scientists
+25%
Avg Salary for Platform Scientists
$120K

Skills & Requirements

Required
Protein EngineeringMolecular BiologyData Analysis
Growing in Demand
BioinformaticsMachine LearningNext-Generation Sequencing (NGS)
Declining
Traditional Cloning TechniquesSanger Sequencing

Domain Trends

Increased Use of AI in Drug Discovery
AI technologies are being adopted in 45% of biotech firms to streamline drug discovery processes, enhancing efficiency in protein engineering.
Rise of Personalized Medicine
The market for personalized medicine is projected to grow by 10% annually, driving demand for protein engineering to tailor therapies to individual genetic profiles.
Advancements in CRISPR Technology
The CRISPR market is expected to grow by 25% over the next five years, significantly impacting protein engineering applications in gene editing and therapeutic development.

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