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Checked on their board 15 Nov

Acelegen Hiring now

Postdoctoral Researcher - Experimental Biology & Genome Engineering

AI and crispr lab company building living systems for drug discovery. You'd run hands on biology experiments.

Menlo Park, CAFull-timePosted 4 days ago
Who to email about itThe Head of Engineering at Acelegen
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About the role

From Acelegen's posting on Workable, as they wrote it

Company: Acelegen Technology Inc.

Location: Menlo Park, California

Employment Type: Full-time, On-site

About Acelegen

Acelegen is a life science company exploring a new scaling law for biological discovery by connecting artificial intelligence with molecularly programmable living systems.

We combine AI, CRISPR genome engineering, stem cell technologies, and experimental biology to develop innovative approaches that accelerate biological discovery and advance the development of next-generation therapeutics.

Our interdisciplinary team brings together expertise in AI, biology, and engineering to build a continuously learning research platform that bridges computational design and experimental validation.

About the Role

We are seeking a talented and highly motivated Postdoctoral Researcher in Experimental Biology & Genome Engineering to join our growing research team in Menlo Park, California.

This is a hands-on, laboratory-based research position focused on developing and advancing experimental approaches in molecular biology, genome engineering, and cellular engineering.

The ideal candidate will have a strong foundation in experimental biology, demonstrated research accomplishments, and the ability to independently design, execute, and troubleshoot complex biological experiments.

You will collaborate closely with scientists across biology, computational research, and AI to translate innovative scientific ideas into experimentally validated technologies.

Key Responsibilities

  • Design, execute, and optimize molecular and cellular biology experiments to support ongoing research programs..
  • Develop and evaluate CRISPR-based genome editing and other genetic engineering technologies..
  • Perform mammalian cell culture, genetic modification, and functional characterization experiments..
  • Develop and optimize assays to evaluate gene expression, genome editing efficiency, and cellular responses..
  • Independently troubleshoot experimental challenges and improve research protocols..
  • Analyze and interpret experimental data, maintain detailed research records, and communicate findings..
  • Collaborate with AI and computational biology teams to experimentally validate biological designs and predictions..
  • Contribute to the development of new experimental methodologies, technologies, and research platforms..
  • Present research findings and contribute to scientific publications and technical reports..

Requirements

Required Qualifications

  • Ph.D. in Molecular Biology, Cell Biology, Genetics, Bioengineering, Biomedical Sciences, or a closely related field..
  • Strong hands-on laboratory experience in molecular and cellular biology..
  • Experience with genome editing technologies, particularly CRISPR/Cas systems, or closely related genetic engineering approaches..
  • Proficiency in core molecular biology techniques, such as PCR, molecular cloning, DNA/RNA analysis, and gene expression assays..
  • Experience with mammalian cell culture, transfection, and cell-based functional assays..
  • Demonstrated ability to independently design experiments, troubleshoot protocols, and analyze results..
  • Strong scientific reasoning, attention to detail, and problem-solving skills..
  • Excellent communication and collaboration skills..
  • Demonstrated research productivity through publications, scientific presentations, or significant experimental contributions..

Preferred Qualifications

Experience in one or more of the following areas is highly desirable

  • Genome Engineering: Advanced CRISPR technologies, targeted genome editing, large DNA insertion, or functional genomics..
  • RNA Biology & Engineering: RNA design, mRNA technologies, gene regulation, or RNA-based therapeutics..
  • Gene Delivery: Viral and non-viral delivery systems, lipid nanoparticles, virus-like particles, or gene therapy approaches..
  • Cell Engineering: Stem cell biology, iPSC culture, primary cell engineering, or cellular reprogramming..
  • In Vivo Biology: Animal models, in vivo gene editing, therapeutic delivery, or preclinical studies..
  • Advanced Experimental Techniques: Next-generation sequencing, high-throughput screening, flow cytometry, or automated experimental workflows..
  • Interdisciplinary Research: Experience collaborating with computational biology, bioinformatics, or AI/ML research teams..

Prior experience with AI or machine learning is a plus, but not required.

What We’re Looking For

We value scientists who are intellectually curious, experimentally rigorous, and excited to solve challenging problems in biology.

Successful candidates will be comfortable working in a fast-paced, collaborative research environment and taking ownership of their scientific projects.

We are particularly interested in researchers who enjoy hands-on experimentation, can independently drive scientific progress, and are enthusiastic about translating new biological discoveries into practical technologies.

Why Join Acelegen?

  • Work at the intersection of AI, genome engineering, and next-generation biotechnology..
  • Contribute to ambitious research programs with opportunities for meaningful scientific impact..
  • Collaborate with interdisciplinary scientists and engineers..
  • Gain experience translating cutting-edge biological research into real-world applications..
  • Join a growing life science company in the San Francisco Bay Area..

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Stock Option Plan

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About Acelegen

Acelegen is a life science company exploring a new scaling law for biological discovery by connecting artificial intelligence with molecularly programmable living systems.

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