AskBio Inc.

About the Company

AskBio Inc., a wholly owned and independently operated subsidiary of Bayer AG, is a fully integrated gene therapy company dedicated to developing life-saving medicines and changing lives. The company maintains a portfolio of clinical programs across a range of neuromuscular, central nervous system, cardiovascular and metabolic disease indications with a clinical-stage pipeline that includes therapeutics for congestive heart failure, limb-girdle muscular dystrophy, multiple system atrophy, Parkinson’s disease, and Pompe disease. AskBio’s gene therapy platform includes Pro10™, an industry-leading proprietary cell line manufacturing process, and an extensive capsid and promoter library. With global headquarters in Research Triangle Park, North Carolina, and European headquarters in Edinburgh, Scotland, the company has generated hundreds of proprietary capsids and promoters, several of which have entered pre-clinical and clinical testing. Learn more at askbio.com.

Vision - Pioneering science to create transformative molecular medicines.
Mission - Lead innovative science and drive clinical outcomes to transform people's lives.

Values:
• Be a Pioneer. We are not afraid of the impossible and to innovate to make gene therapies accessible to those in need.
• Cultivate Collaboration. Strive to be the best teammate, actively listen, openly communicate, and embrace diverse points of view.
• Embrace Responsibility. We are humbled by the enormity of our mission. We hold a relentless commitment to advance science and clinical outcomes for our patients, families, and caregivers.
• Raise the Bar. Continuously drive improvements and efficiencies. Seek and provide constructive feedback. Have a bias for learning and action.
• Act with Uncompromising Integrity. Be honest, transparent, and committed to doing what’s right in every situation. Make clear commitments and follow through.

Listed Jobs

Company Name

AskBio Inc.

Job Title

Intern- AI, Machine Learning

Job Description

Job Title: Intern – AI & Machine Learning (Gene Therapy) Role Summary: Provide hands‑on experience applying machine learning to biological data within a gene‑therapy research environment. Develop, integrate, and validate an enhancer‑prediction ML model into a commercial bioinformatics platform, creating user‑facing interfaces and visualizations that support downstream biological analysis. Expectations: • Complete a 3‑6 month internship with structured mentoring. • Deliver a fully functional, documented ML pipeline and a live demonstration. • Communicate findings through written reports and presentations. Key Responsibilities: 1. Integrate a next‑generation enhancer‑prediction ML model into the existing PromPT® platform. 2. Review and understand current bioinformatics pipelines. 3. Collaborate with bioinformaticians, ML engineers, and experimental scientists to gather user requirements. 4. Develop a simple user interface for model configuration and input. 5. Create output visualizations and summary analyses to aid biological interpretation. 6. Participate in code reviews, documentation, and best‑practice software workflows. 7. Assist in testing, validation, and performance assessment of the integrated pipeline. 8. Collect and analyze user feedback to refine functionality and usability. 9. Present a final demonstration of the integrated pipeline to stakeholders. Required Skills: - Proficiency in Python (or equivalent scientific programming language). - Fundamental understanding of machine learning and statistical data analysis. - Experience with data ingestion, model integration, and visualization. - Strong analytical and problem‑solving abilities. - Clear communication skills for technical and non‑technical audiences. - Collaborative mindset and eagerness to learn in a research setting. Required Education & Certifications: - Current doctoral candidate (Ph.D.) in Informatics, Bioinformatics, Computational Biology, Data Science, Computer Science, AI, or a related field (completed first year). - Coursework or academic experience in bioinformatics, machine learning, data science, computational biology, or related areas.

Edinburgh, United kingdom

On site

Fresher

18-02-2026

Company Name

AskBio Inc.

Job Title

IT Systems Engineer II

Job Description

**Job Title** IT Systems Engineer II **Role Summary** Design, deploy, and maintain hybrid on‑premises and cloud infrastructure supporting enterprise and scientific workloads across the EU & UK. Focus on Linux‑based headless systems, GPU‑accelerated/HPC environments, Kubernetes container platforms, and AWS services. **Expectations** Deliver reliable, secure, and compliant infrastructure with high availability. Manage capacity, performance, and lifecycle of compute, storage, and networking assets. Provide Tier‑3/4 support, participate in on‑call rotations, and maintain clear operational documentation. **Key Responsibilities** - Own EU‑based data center, office, and cloud environments, including architecture and day‑to‑day operations. - Design, deploy, and operate servers, storage, networking, and virtualization platforms for enterprise and scientific workloads. - Support Linux headless infrastructure, prioritizing automation, reliability, and reproducibility. - Operate and optimize GPU‑enabled and HPC environments (capacity planning, performance tuning, hardware lifecycle). - Manage containerized platforms (e.g., Kubernetes) for data processing and scientific analytics. - Build and operate hybrid infrastructure, integrating on‑premises systems with AWS (EC2, VPC, IAM, S3/EBS). - Collaborate with global IT, research, data, and security teams to align infrastructure with organizational standards and scientific needs. - Ensure availability, performance, security, and compliance, especially in regulated or research‑driven settings. - Lead or contribute to data center upgrades, cluster expansions, cloud migrations, and platform modernization initiatives. - Provide Tier‑3/4 operational support, participate in escalations and on‑call rotations, and maintain detailed documentation of architectures and procedures. **Required Skills** - Linux system administration (RHEL, Ubuntu, or equivalent) on headless environments. - Experience with API‑driven and containerized infrastructure. - Proficiency with Kubernetes and related container orchestration tools. - Experience managing GPU‑accelerated or HPC workloads. - Hands‑on AWS expertise (EC2, VPC, IAM, storage services). - Strong automation skills (IaC, scripting). - Capacity planning, performance tuning, and hardware lifecycle management. - Knowledge of security and compliance requirements for regulated environments. - Excellent troubleshooting, communication, and documentation abilities. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Information Technology, or related field with ≥2 years of relevant experience, **or** - High school diploma with ≥6 years of relevant experience. Optional but preferred certifications: AWS Certified Solutions Architect, Red Hat Certified System Administrator, Certified Kubernetes Administrator.

Edinburgh, United kingdom

On site

Junior

18-02-2026