Key Responsibilities:

• Conduct in vivo studies to characterize and assess the function, pharmacokinetics, and biodistribution of Synteins
• Perform hands-on dosing of mice and isolation/processing of mouse blood and tissues
• Comply with IACUC regulations regarding animal welfare and care
• Collect and prepare tissues for histology
• Execute and optimize lab procedures such as tissue lysis and cell isolation, ELISA, Western blot, RNA/DNA extraction, qPCR, and related cell/molecular biology assays
• Coordinate with CROs to support the execution of external in vivo studies
• Analyze, interpret, and accurately document study and assay results
• Apply troubleshooting and data analysis skills to resolve issues and improve study quality and throughput
• Collaborate with the Pharmacology team and cross-functionally to support lead optimization and platform advancement

Professional Experience & Qualifications:

• BS in Biology or related discipline with 5-7 years of relevant research experience, or MS with 3-5 years of relevant experience
• Well-established, independent experience with rodent in vivo dosing and handling techniques
• Experience in tissue dissection and preparation for RNA, protein analysis, and histology
• Demonstrated ability to execute or learn various molecular and cell biology techniques
• Proficiency with software such as Excel, GraphPad Prism, and PowerPoint
• Strong organizational and analytical problem-solving skills

Preferred Qualifications:

• Extensive experience in cell culture techniques
• Experience with tissue sectioning and immunohistochemistry techniques
• Experience in flow cytometry and data analysis

The salary range for this role is $81,000 - $107,250. Abiologics, Inc. currently offers healthcare coverage, annual incentive program, retirement benefits, and a broad range of other benefits.

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The successful candidate will be responsible for developing and executing biochemical and cell-based assays to support the progression of Abiologics' pipeline.

Key responsibilities include:

• Designing and executing cell-based and biochemical assays to assess Syntein activity, target engagement, and mechanism of action
• Conceptualizing and developing novel assays for diverse target classes and disease areas
• Collaborating with the Pharmacology team on biochemistry and biophysics projects
• Contributing to in vivo and ex vivo pharmacology activities
• Collaborating cross-functionally to enable novel methods, assays, and screening workflows

The ideal candidate will have:

• A PhD in molecular or cell biology or a related discipline with up to 2 years of relevant experience
• Technical expertise with mammalian cell culture, including establishing and maintaining cell lines, transient and stable transfection, lentiviral transduction, and reporter cell lines
• Proficiency in industry-standard cell-based assays and bioanalytical techniques, including TR-FRET, Lumit, ELISA, Western blot, flow cytometry, enzymatic activity, and reporter gene assays

Abiologics, Inc. offers a salary range of $100,000 - $126,500, as well as healthcare coverage, an annual incentive program, retirement benefits, and a broad range of other benefits.

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As a Sr. Machine Learning Engineer, you will build and scale the ML infrastructure, tools, and workflows that power Dyno’s research efforts. You will partner closely with AI scientists, protein engineers, and fellow ML engineers to turn novel research into robust, reusable systems,improving model training and inference, optimizing performance, and advancing agentic AI workflows that accelerate scientific discovery.

Responsibilities:

• Build modular, generalizable, and portable ML training systems that support the ongoing development of protein design models.
• Improve the scalability, reliability, and performance of ML training and inference infrastructure to enable rapid research experimentation.
• Optimize model performance using tools such as GPU profiling, custom kernels, and modern accelerated computing frameworks.
• Develop and standardize agentic AI workflows that increase research velocity while maintaining appropriate safety and reliability.
• Partner closely with AI scientists, protein engineers, and other ML engineers to translate research prototypes into robust, reusable tools and systems.
• Contribute across the ML engineering stack, from modeling and GPU-level optimization to distributed training and multi-node orchestration.
• Stay current on emerging ML engineering and agentic AI tools and help the team evaluate and adopt approaches that advance Dyno’s research.
• Support the delivery and communication of Dyno’s work, both internally and externally.
• Work with urgency and adaptability, balancing innovation with execution.
• Collaborate cross-functionally, leveraging Dyno’s high-trust, high-impact culture to drive results.

Basic qualifications:

• 5+ years professional experience building software for machine learning
• Strong software engineering fundamentals (OO design, testing, version control, dependency management, API design)
• Experience containerizing code for remote environments including hands-on experience with Docker and Kubernetes.
• Experience with large-scale distributed training or inference with Ray or a similar framework
• Familiarity with ML performance engineering (identifying bottlenecks, analyzing resource usage, profiling, writing custom kernels)
• Experience designing and owning technically complex systems through requirements-setting, implementation, rollout and maintenance
• Ability to contribute to technical direction through design reviews, cross-team planning, documentation, etc.
• Alignment with Dyno’s core values

Preferred qualifications:

• Professional or academic experience in ML research / scientific computing
• Experience building internal platforms and/or developer tools
• Familiarity with common MLOps tools and practices (model monitoring, model versioning, CI/CD, model registries)
• Experience with GPU programming (CUDA, Triton, etc).
• Highly proficient in agentic and usage of modern AI tools for software development
• Exposure to biology, bioinformatics, structural biology, or protein modeling

What You’ll Give:

• Bring an unstoppable work ethic, stepping up when things get tough and adapting as priorities shift.
• Embrace challenges as opportunities, finding solutions where none exist and driving innovation forward.
• Operate with urgency, responsibility, and resilience, because this mission demands the best from us.

What You’ll Get:

• Competitive compensation & equity,your contributions drive results, and we pay accordingly.
• Mission-aligned, high-trust environment,we succeed together, supporting each other through challenges.
• A career-defining experience,work at the forefront of AI-driven genetic medicine, tackling problems that reshape healthcare.

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